{"meta":{"query_hash":"5672d1655e5b","filters":{"venue":"Fisheries Research"},"cohort_total":238,"direct_labels_cover":1,"predictions_cover":238,"exported":238,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/5672d1655e5b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Fisheries+Research"},"results":[{"id":"W1105069819","doi":"10.1016/j.fishres.2015.06.029","title":"Genetic analysis of stock structure of blue shark (Prionace glauca) in the north Pacific ocean","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishery; Fishing; Population; Pelagic zone; Effective population size; Stock assessment; Geography; Fisheries management; Biology; Population size; Stock (firearms); Ecology; Genetic diversity; Demography","score_opus":0.04153279602557145,"score_gpt":0.2981052472298355,"score_spread":0.25657245120426403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1105069819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998622,0.0000095882215,0.000017049531,0.0000025015688,4.2275207e-7,7.619995e-7,0.000024720202,3.5890824e-7,0.00008234569],"genre_scores_gemma":[0.9997434,0.000015181088,0.000039455757,0.000004845037,8.246493e-7,0.0000019938718,0.00008015996,7.62641e-7,0.00011330844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977845,0.0000333498,0.000017417835,0.00008494902,0.00004916331,0.00003662801],"domain_scores_gemma":[0.999385,0.000091706956,0.00022163652,0.000032433705,0.00010885071,0.00016038684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031597898,0.00023458766,0.00017715919,0.0015118179,0.00054746727,0.00035454752,0.00038559077,0.00023844074,0.00058972737],"category_scores_gemma":[0.0005591156,0.0002203709,0.00019244335,0.0009070319,0.00057507056,0.00025197017,0.0004611353,0.00027039356,0.000096807875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017416231,0.0000608449,0.97339654,0.000009670585,0.000084493,0.00011317448,0.0007225325,0.00017645642,0.022740835,0.00005304391,0.000030316636,0.0024378486],"study_design_scores_gemma":[0.000002363669,0.000021706337,0.999451,0.0000010611667,0.000008377241,0.000027440923,0.00023637751,0.00011188878,0.00010648965,0.000008790567,0.00002284274,0.0000016805772],"about_ca_topic_score_codex":0.040426075,"about_ca_topic_score_gemma":0.08299346,"teacher_disagreement_score":0.040426075,"about_ca_system_score_codex":0.0006086212,"about_ca_system_score_gemma":0.00047877806,"threshold_uncertainty_score":0.08038151},"labels":[],"label_agreement":null},{"id":"W1133634986","doi":"10.1016/j.fishres.2015.07.032","title":"Imputing recreational angling effort from time-lapse cameras using an hierarchical Bayesian model","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Freshwater Fisheries Society of BC; Ministry of Forests; University of British Columbia; Ministry of Environment","funders":"Natural Sciences and Engineering Research Council of Canada; Habitat Conservation Trust Foundation; Freshwater Fisheries Society of British Columbia","keywords":"Fishing; Computer science; Field (mathematics); Recreation; Bayesian probability; Survey data collection; Recreational fishing; Environmental science; Remote sensing; Geography; Statistics; Artificial intelligence; Fishery; Ecology; Mathematics","score_opus":0.10269904545895618,"score_gpt":0.33953592154496715,"score_spread":0.23683687608601095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1133634986","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4331296,0.00059030054,0.5617123,0.0006504759,0.00011568622,0.00013927685,0.0008604809,0.00065950444,0.0021423672],"genre_scores_gemma":[0.9345095,0.000284958,0.059701577,0.00022892152,0.00012301559,0.00016786522,0.0012660641,0.00010530023,0.0036127653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793553,0.00085686176,0.00010869968,0.0007076772,0.00017404716,0.00021719182],"domain_scores_gemma":[0.9839017,0.012944161,0.0008260686,0.0012606484,0.0007120782,0.00035540745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072187977,0.001030087,0.0017869514,0.001972651,0.00086722785,0.0014669109,0.0037797436,0.0032683858,0.0020885863],"category_scores_gemma":[0.023102842,0.0017194148,0.0021950388,0.002010878,0.001373405,0.002550005,0.0017008173,0.0025666482,0.00074918044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010129642,0.0005589651,0.048906732,0.00012823807,0.00077062583,0.00032473067,0.00059243076,0.83176386,0.0019493244,0.018674005,0.0020055524,0.093312636],"study_design_scores_gemma":[0.000024584782,0.000042783005,0.005951016,0.000016547508,0.000062747175,0.000055147415,0.000019562003,0.98739386,0.00014950875,0.0060848445,0.00016974179,0.000029653154],"about_ca_topic_score_codex":0.041812576,"about_ca_topic_score_gemma":0.054499343,"teacher_disagreement_score":0.041812576,"about_ca_system_score_codex":0.001451218,"about_ca_system_score_gemma":0.0014043634,"threshold_uncertainty_score":0.08313841},"labels":[],"label_agreement":null},{"id":"W1784842095","doi":"10.1016/j.fishres.2015.09.007","title":"An empirical weight-at-age approach reduces estimation bias compared to modeling parametric growth in integrated, statistical stock assessment models when growth is time varying","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"National Oceanic and Atmospheric Administration; Comisión Nacional de Investigación Científica y Tecnológica; Joint Institute for the Study of the Atmosphere and Ocean; Indian Institute of Technology Kanpur; Indian National Science Academy","keywords":"Statistics; Mathematics; Stock assessment; Econometrics; Parametric statistics; Stock (firearms); Growth rate; Biology; Ecology; Geography","score_opus":0.2489015742134424,"score_gpt":0.3989115666404516,"score_spread":0.1500099924270092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1784842095","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030755116,0.00017666088,0.96689254,0.00018370103,0.00007128804,0.000083019244,0.0001372264,0.00041335062,0.0012870044],"genre_scores_gemma":[0.5098706,0.0003327833,0.48183152,0.00028151614,0.00016642275,0.0002698424,0.0007465093,0.000350406,0.0061504296],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957384,0.0018700323,0.0003836543,0.0012145808,0.0006048095,0.00018857913],"domain_scores_gemma":[0.96236473,0.024058241,0.0038103934,0.0059623537,0.0033294638,0.00047475903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01822633,0.0010615143,0.0014940405,0.001930655,0.00077994744,0.0017793304,0.0038751427,0.0027042802,0.0056475047],"category_scores_gemma":[0.08536338,0.0009293712,0.0011865072,0.0022614035,0.0011612257,0.0044304384,0.0021639233,0.002697224,0.0012481718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000430998,0.0005977241,0.062410533,0.00020385327,0.0010229228,0.00044369145,0.00039884562,0.43431255,0.0021547198,0.05188436,0.0033767615,0.44276312],"study_design_scores_gemma":[0.000038570095,0.000162496,0.0060515706,0.0000543119,0.00018157654,0.00024224164,0.00006458604,0.9610362,0.0011124274,0.02850585,0.00250484,0.00004532328],"about_ca_topic_score_codex":0.006846627,"about_ca_topic_score_gemma":0.011744933,"teacher_disagreement_score":0.01822633,"about_ca_system_score_codex":0.0006909786,"about_ca_system_score_gemma":0.0016090614,"threshold_uncertainty_score":0.0963912},"labels":[],"label_agreement":null},{"id":"W1821154447","doi":"10.1016/j.fishres.2015.10.009","title":"Genetic mixed stock analysis of an interceptory Atlantic salmon fishery in the Northwest Atlantic","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Fishery; Peninsula; Stock (firearms); Geography; Range (aeronautics); Atlantic cod; Recreational fishing; Latitude; Dominance (genetics); Biology; Ecology; Fishing; Fish ; Gadus","score_opus":0.065651851869265,"score_gpt":0.3111647996690788,"score_spread":0.24551294779981378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1821154447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99974483,0.000016312975,0.000065202694,0.000009683487,0.0000013165868,0.0000012182455,0.00006101946,6.4998187e-7,0.00009979899],"genre_scores_gemma":[0.99950874,0.000014496203,0.000121593956,0.00000957072,0.0000010415062,0.0000023855414,0.00011927976,0.0000016357715,0.00022111481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944836,0.0001831856,0.000053432257,0.00012934709,0.00009827415,0.0000874904],"domain_scores_gemma":[0.99868804,0.00029580295,0.0002938867,0.00013991077,0.0003030685,0.0002791609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011355483,0.00025083259,0.00027618738,0.0010818199,0.0008273334,0.0004906537,0.00053521805,0.0002804523,0.0011187914],"category_scores_gemma":[0.0017855605,0.00018043185,0.00035818914,0.0008713125,0.00038665973,0.00023156738,0.0005505744,0.0002777533,0.00013355391],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016155589,0.000049047667,0.9929489,0.000002466802,0.00015172952,0.00012202183,0.00020052242,0.000181829,0.0039942805,0.00009298084,0.000045194265,0.0020495015],"study_design_scores_gemma":[0.0000046947043,0.00003477854,0.9981554,0.0000024824883,0.000051499934,0.00008444212,0.00039483845,0.0009586577,0.00020405892,0.00003617931,0.000068869456,0.0000041081944],"about_ca_topic_score_codex":0.11143671,"about_ca_topic_score_gemma":0.27283663,"teacher_disagreement_score":0.11143671,"about_ca_system_score_codex":0.0010130975,"about_ca_system_score_gemma":0.0009225726,"threshold_uncertainty_score":0.22157615},"labels":[],"label_agreement":null},{"id":"W1965804704","doi":"10.1016/j.fishres.2014.03.001","title":"Observer bias and subsampling efficiencies for estimating the number of migrating fish in rivers using Dual-frequency IDentification SONar (DIDSON)","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"","keywords":"Escapement; Sonar; Environmental science; Fishery; Fish ; Sampling (signal processing); Statistics; Computer science; Biology; Mathematics; Oceanography; Geology","score_opus":0.12796360986446023,"score_gpt":0.3498245441222813,"score_spread":0.22186093425782108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965804704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8377302,0.0011306638,0.15935549,0.0001175446,0.00006906994,0.0001564268,0.00022223173,0.00020491071,0.0010134456],"genre_scores_gemma":[0.94016343,0.00021271392,0.058447037,0.00009620125,0.000021441669,0.00013353802,0.00029311606,0.000111403366,0.0005211389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9814478,0.010840219,0.0018866126,0.0031765185,0.0021362992,0.00051267503],"domain_scores_gemma":[0.8738929,0.10317788,0.0058314493,0.0099794455,0.006673826,0.0004444747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034824386,0.00043977436,0.0007499126,0.0013849607,0.0007407202,0.0011118095,0.0011858259,0.0010210002,0.000650451],"category_scores_gemma":[0.10905258,0.00061645254,0.0011817242,0.0009507644,0.0011118001,0.0014761117,0.0010876677,0.0005432014,0.00020995115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011140842,0.00010674812,0.90322846,0.00018847779,0.0010320962,0.00026301906,0.001653729,0.013199258,0.00817965,0.0021863128,0.00061868364,0.06822945],"study_design_scores_gemma":[0.00009839431,0.00042675657,0.83284765,0.000105987776,0.0012410628,0.0014259365,0.0007753,0.13800898,0.019372838,0.003177289,0.002391609,0.00012826259],"about_ca_topic_score_codex":0.011652062,"about_ca_topic_score_gemma":0.015006774,"teacher_disagreement_score":0.034824386,"about_ca_system_score_codex":0.0014095791,"about_ca_system_score_gemma":0.00076249155,"threshold_uncertainty_score":0.18417114},"labels":[],"label_agreement":null},{"id":"W1968027113","doi":"10.1016/s0165-7836(03)00183-8","title":"Visible implant fluorescent elastomer tagging of the big-bellied seahorse, Hippocampus abdominalis","year":2003,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Seahorse; Biology; Hippocampus; Zoology; Mongoose; Anatomy","score_opus":0.0801271913193486,"score_gpt":0.28190513211771173,"score_spread":0.20177794079836314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968027113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938862,0.0005028864,0.0035970977,0.000089165056,0.00005761504,0.000013738541,0.00019980285,0.000041062125,0.0016124095],"genre_scores_gemma":[0.9787046,0.00080597715,0.0072540776,0.0000647694,0.000018584336,0.000024976758,0.00027790567,0.000040054674,0.012809039],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999492,0.000002998744,0.0000019719055,0.000019395231,0.000009461825,0.000016885891],"domain_scores_gemma":[0.9998807,0.000026154654,0.000032746557,0.000012904878,0.000020166044,0.000027291058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014323529,0.00022936758,0.0001558169,0.00024196832,0.00023578305,0.00033503666,0.0002576856,0.0005904239,0.0013682799],"category_scores_gemma":[0.00022035914,0.00024356216,0.0001409062,0.000109175046,0.00043880078,0.0005501615,0.0002792429,0.0004248929,0.0003777292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005767439,0.000023962366,0.0028945687,0.00004642874,0.000010253547,0.00020083717,0.00010718202,0.00010631618,0.9897189,0.00017596106,0.00012481422,0.0060139983],"study_design_scores_gemma":[0.00015476372,0.0026045565,0.1333764,0.000066134606,0.00014936818,0.0028607012,0.0010736482,0.0043845684,0.8489748,0.00033978227,0.0059749093,0.000040429626],"about_ca_topic_score_codex":0.003311456,"about_ca_topic_score_gemma":0.007491415,"teacher_disagreement_score":0.003311456,"about_ca_system_score_codex":0.00023318187,"about_ca_system_score_gemma":0.0003139066,"threshold_uncertainty_score":0.0065843463},"labels":[],"label_agreement":null},{"id":"W1968907042","doi":"10.1016/j.fishres.2014.04.009","title":"Fisheries, ecosystem justice and piracy: A case study of Somalia","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Maritime Security and History","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Somali; Overfishing; Fishing; Livelihood; International waters; Fishery; Argument (complex analysis); Ecosystem approach; State (computer science); Maritime boundary; Ecosystem; Business; Natural resource economics; Political science; Geography; Law; Economics; International law; Ecology; Agriculture","score_opus":0.11587239816823128,"score_gpt":0.3826415767255319,"score_spread":0.26676917855730065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968907042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99204516,0.00020483596,0.00016214556,0.0005930006,0.000009522173,0.00003124682,0.000023689063,0.000002322612,0.006928054],"genre_scores_gemma":[0.99700505,0.00056864944,0.00044830338,0.00014865818,0.000006358146,0.000026345715,0.0000141937135,0.0000034410493,0.0017790534],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9990809,0.00037269294,0.000039936273,0.00006794451,0.000079904195,0.00035866973],"domain_scores_gemma":[0.9986846,0.00069614133,0.000205133,0.00006453054,0.00011407335,0.00023551336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333772,0.0005040065,0.00054784416,0.00170655,0.015309624,0.0029013501,0.001268672,0.0033460814,0.0030623858],"category_scores_gemma":[0.0027520116,0.00039380076,0.00044997787,0.0026777822,0.0050888434,0.002071272,0.004011594,0.002035302,0.00022614397],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001827441,0.0009737327,0.23873265,0.00039467154,0.00012369921,0.09254975,0.60239524,0.0009317856,0.0021991348,0.021668678,0.0026496428,0.037198346],"study_design_scores_gemma":[0.000019890187,0.00028517027,0.08030323,0.00032061333,0.00007037187,0.0051595825,0.89875084,0.00091085985,0.0004016264,0.0018443249,0.01189885,0.00003464652],"about_ca_topic_score_codex":0.09131039,"about_ca_topic_score_gemma":0.3351309,"teacher_disagreement_score":0.09131039,"about_ca_system_score_codex":0.00766306,"about_ca_system_score_gemma":0.0047724405,"threshold_uncertainty_score":0.18155777},"labels":[],"label_agreement":null},{"id":"W1973530239","doi":"10.1016/j.fishres.2006.08.015","title":"Local knowledge assessment for a small-scale fishery using geographic information systems","year":2006,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"","keywords":"Fishing; Fishery; Scale (ratio); Fisheries management; Fisheries science; Spiny lobster; Marine protected area; Resource (disambiguation); Data collection; Geography; Conch; Geographic information system; Plan (archaeology); Environmental resource management; Computer science; Ecology; Habitat; Environmental science; Remote sensing; Cartography; Biology","score_opus":0.0521950592666462,"score_gpt":0.32600613031119763,"score_spread":0.27381107104455144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973530239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88545597,0.000791417,0.09972971,0.001263935,0.000021480368,0.0006471698,0.0034477564,0.00042777622,0.008214709],"genre_scores_gemma":[0.9377968,0.00024096473,0.059489783,0.000035742476,0.000009820121,0.0002020784,0.0015020315,0.000010312963,0.00071248785],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99868375,0.0004457141,0.00021187404,0.00019252626,0.00038373555,0.000082346036],"domain_scores_gemma":[0.9895191,0.0064341533,0.00097076356,0.00054231304,0.0021359946,0.0003975252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037980461,0.0003347956,0.0006378256,0.0076439455,0.0013255373,0.002522966,0.0008900453,0.0008307319,0.0028836422],"category_scores_gemma":[0.017325649,0.0002526105,0.0006738295,0.00403153,0.000497291,0.004677385,0.0020474175,0.00039890266,0.00030215012],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013043708,0.0008236336,0.37238747,0.0007481161,0.00073664275,0.00075368996,0.0018726937,0.07567672,0.0056165117,0.0070041646,0.0048636505,0.5282123],"study_design_scores_gemma":[0.00020417466,0.0009877259,0.20564823,0.00030803093,0.0013116051,0.0003201042,0.00915651,0.749436,0.0076730666,0.019775592,0.005020412,0.0001585314],"about_ca_topic_score_codex":0.049064346,"about_ca_topic_score_gemma":0.066644795,"teacher_disagreement_score":0.049064346,"about_ca_system_score_codex":0.0022881886,"about_ca_system_score_gemma":0.004005544,"threshold_uncertainty_score":0.097557485},"labels":[],"label_agreement":null},{"id":"W1974249820","doi":"10.1016/j.fishres.2011.11.006","title":"Accounting for spatial population structure at scales relevant to life history improves stock assessment: The case for Lake Erie walleye Sander vitreus","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Innovative Research Group Project of the National Natural Science Foundation of China; Ministry of Natural Resources; Michigan Department of Natural Resources; New York State Department of Environmental Conservation","keywords":"Stock assessment; Biological dispersal; Stock (firearms); Fishery; Sander; Catch per unit effort; Fishing; Spatial ecology; Population; Temporal scales; Overfishing; Geography; Ecology; Biology; Demography","score_opus":0.06736063440937698,"score_gpt":0.31082963571838057,"score_spread":0.2434690013090036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974249820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944706,0.00009419776,0.0043012244,0.00019228277,0.000007965848,0.0000073950523,0.00007210273,0.000030745767,0.0008236096],"genre_scores_gemma":[0.99534,0.000044928216,0.0038298091,0.000031112348,0.0000046304613,0.0000041901567,0.00010226644,0.000008977728,0.00063412345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997322,0.000096688076,0.000021733511,0.00006162554,0.000038927803,0.000048862505],"domain_scores_gemma":[0.99884987,0.00051635515,0.0001673917,0.00018339709,0.00019537253,0.00008760612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016865797,0.00050592556,0.00045915684,0.00054312195,0.00059352175,0.0011448321,0.0005928407,0.00060557283,0.0015474182],"category_scores_gemma":[0.0050580283,0.00027797424,0.00065718,0.00052188,0.00036431733,0.0015535228,0.00078438,0.0004029582,0.00022766637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027084665,0.00011814814,0.8566255,0.000054909102,0.00053050317,0.000336436,0.00045235595,0.06712747,0.007892619,0.0015172047,0.0007775981,0.06429634],"study_design_scores_gemma":[0.000024376952,0.00015509741,0.7274541,0.000031475112,0.00035985117,0.00015535898,0.00082302355,0.264945,0.0020406,0.0029188753,0.0010516236,0.000040547726],"about_ca_topic_score_codex":0.08385274,"about_ca_topic_score_gemma":0.28943595,"teacher_disagreement_score":0.91614723,"about_ca_system_score_codex":0.0007197226,"about_ca_system_score_gemma":0.0010089633,"threshold_uncertainty_score":0.16672933},"labels":[],"label_agreement":null},{"id":"W1974969369","doi":"10.1016/j.fishres.2015.03.010","title":"Do marine ecosystem models give consistent policy evaluations? A comparison of Atlantis and Ecosim","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"NSW Department of Primary Industries; University of Sydney","keywords":"Ecosystem; Ecosystem model; Fishing; Ecosystem services; Environmental resource management; Environmental science; Fisheries management; Marine ecosystem; Ecosystem-based management; Biodiversity; Baseline (sea); Ecosystem management; Fishery; Ecology","score_opus":0.2106808733711828,"score_gpt":0.4152770206644658,"score_spread":0.20459614729328301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974969369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7218754,0.017529894,0.112775855,0.04266064,0.0017130564,0.0004974602,0.010611426,0.0013901995,0.09094613],"genre_scores_gemma":[0.9722865,0.0020958018,0.019998124,0.0017859623,0.00023113997,0.00013239887,0.0018319961,0.00032328296,0.0013147935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9578607,0.032884415,0.0019891101,0.0016669823,0.00464038,0.0009584015],"domain_scores_gemma":[0.70599866,0.24933435,0.011434642,0.019744817,0.011968462,0.0015191078],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07673965,0.001437066,0.0025035013,0.005328264,0.0009250578,0.0076142815,0.0029007224,0.0031519409,0.00688588],"category_scores_gemma":[0.28896293,0.00086385227,0.0018481576,0.0053225984,0.0022631795,0.009995746,0.002937656,0.0020820778,0.00070248067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007998329,0.00086612435,0.1113138,0.0020955182,0.0053973044,0.00033486495,0.0012437269,0.39602196,0.0005020841,0.25447938,0.02680272,0.19294406],"study_design_scores_gemma":[0.0013356942,0.0013507459,0.031079484,0.0013441832,0.0013914532,0.00019433931,0.002205597,0.50887835,0.0019672909,0.43533584,0.01467652,0.00024054597],"about_ca_topic_score_codex":0.009460424,"about_ca_topic_score_gemma":0.012460786,"teacher_disagreement_score":0.92326033,"about_ca_system_score_codex":0.0047251545,"about_ca_system_score_gemma":0.0036299338,"threshold_uncertainty_score":0.4058429},"labels":[],"label_agreement":null},{"id":"W1975612745","doi":"10.1016/j.fishres.2014.02.008","title":"Combining microsatellites and geometric morphometrics for the study of redfish (Sebastes spp.) population structure in the Northwest Atlantic","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Fisheries and Oceans Canada","keywords":"Morphometrics; Sebastes; Fishery; Population structure; Microsatellite; Population; Biology; Geography; Zoology; Fish ; Demography; Gene; Genetics","score_opus":0.04155525447203503,"score_gpt":0.3002484261403174,"score_spread":0.2586931716682824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975612745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850625,0.00016223048,0.0010209281,0.000030711613,0.0000035443247,0.0000057336065,0.000083884566,0.000006681374,0.00017992969],"genre_scores_gemma":[0.9914903,0.00015554744,0.0077335173,0.000021191332,0.00000732751,0.000013427294,0.00020236005,0.0000035784662,0.0003728314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924076,0.000285949,0.00006177692,0.00017720333,0.00019089991,0.00004328505],"domain_scores_gemma":[0.9985771,0.000448501,0.00037893662,0.000121932004,0.0003280077,0.0001455914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00240918,0.00027407368,0.0002989746,0.0010317533,0.00025420994,0.000470856,0.0003244133,0.00025579782,0.0003926387],"category_scores_gemma":[0.0020216,0.00020359638,0.00023865887,0.0010385247,0.00029486883,0.00045574212,0.0005674836,0.00028425577,0.000108511624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020122307,0.00011193237,0.92685014,0.000037107762,0.0003098399,0.0000467547,0.0002889221,0.0011912793,0.02227567,0.000098253455,0.00009126005,0.04849764],"study_design_scores_gemma":[0.00003137909,0.00025308935,0.9914091,0.000022419788,0.00017301332,0.00017566365,0.00048615935,0.005225885,0.0016169357,0.00017420953,0.00041282084,0.000019216553],"about_ca_topic_score_codex":0.0145987645,"about_ca_topic_score_gemma":0.06747619,"teacher_disagreement_score":0.0145987645,"about_ca_system_score_codex":0.00031113598,"about_ca_system_score_gemma":0.0005854749,"threshold_uncertainty_score":0.029027581},"labels":[],"label_agreement":null},{"id":"W1976277992","doi":"10.1016/j.fishres.2012.09.004","title":"Disentangling genetic change from phenotypic response in reproductive parameters of Flemish Cap cod Gadus morhua","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; European Commission","keywords":"Gadus; Flemish; Atlantic cod; Biology; Phenotype; Cricket; Fishery; Zoology; Geography; Genetics; Fish ; Gene","score_opus":0.1081162481408382,"score_gpt":0.32986318068815346,"score_spread":0.22174693254731526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976277992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998167,0.000013357637,0.000041176958,0.0000064081046,0.0000015542896,6.9927023e-7,0.000032876378,0.0000012184585,0.0000860625],"genre_scores_gemma":[0.99972945,0.000007615304,0.00005411739,0.0000171288,0.0000013767137,0.000002219727,0.000049126742,0.0000036328627,0.00013524774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999723,0.000079401005,0.000016080772,0.00011327479,0.000028762457,0.00003951464],"domain_scores_gemma":[0.9992397,0.00028962165,0.00016697415,0.000106990505,0.000048618298,0.00014807486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038080857,0.0002561832,0.00018115845,0.0005245206,0.00024516674,0.0003166684,0.00028775938,0.00026180016,0.0007978779],"category_scores_gemma":[0.00095943233,0.00020751574,0.00026233637,0.00031487114,0.00047485152,0.00019243216,0.00036170243,0.00044977438,0.000097941054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009865784,0.00020918048,0.8451544,0.00002457274,0.00027695266,0.00021051732,0.0006221115,0.0003174009,0.14441615,0.00016271675,0.000089676156,0.0075296853],"study_design_scores_gemma":[0.0000027837702,0.000041564002,0.99924207,9.055722e-7,0.000013875938,0.00002652476,0.000055382137,0.00012375356,0.00044075694,0.000014899461,0.000035042987,0.0000025226568],"about_ca_topic_score_codex":0.00767493,"about_ca_topic_score_gemma":0.021550372,"teacher_disagreement_score":0.00767493,"about_ca_system_score_codex":0.00030747298,"about_ca_system_score_gemma":0.00025231924,"threshold_uncertainty_score":0.015260518},"labels":[],"label_agreement":null},{"id":"W1977500263","doi":"10.1016/j.fishres.2012.01.027","title":"Reproductive allocation in exploited lake whitefish (Coregonus clupeaformis) and walleye (Sander vitreus) populations","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Guelph; Queen's University; Laurentian University; Ministry of Natural Resources and Forestry","funders":"University of Winnipeg","keywords":"Coregonus clupeaformis; Fecundity; Biology; Coregonus; Gonad; Reproduction; Fishery; Ecology; Population; Zoology; Fish ; Demography","score_opus":0.10849376959919697,"score_gpt":0.3334249880218664,"score_spread":0.2249312184226694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977500263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9999043,0.0000061405776,0.0000072807825,0.0000015671102,1.6777666e-7,4.7916706e-7,0.000009464261,3.2683428e-7,0.00007045678],"genre_scores_gemma":[0.9996319,0.0000057319958,0.000031705138,0.0000051891843,3.869468e-7,0.000002719139,0.000032413573,8.5919e-7,0.000289106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998764,0.000025447589,0.000009824982,0.000038899718,0.00001556016,0.00003387717],"domain_scores_gemma":[0.99958557,0.00008526464,0.00013588203,0.000026573056,0.00004253682,0.00012417034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034942076,0.00015444729,0.00012665549,0.0007408339,0.00035177247,0.0004132314,0.0003118927,0.00021037656,0.0014307827],"category_scores_gemma":[0.0008651303,0.00022557093,0.00014182119,0.00024290955,0.00059176335,0.00031764686,0.00052712084,0.00014184878,0.00012997082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005446744,0.00010372081,0.9743773,0.000011338281,0.00005907704,0.000116809555,0.0013559072,0.0002514312,0.017521577,0.00022091955,0.00008111945,0.005356134],"study_design_scores_gemma":[0.0000062557183,0.00007022565,0.99919087,0.0000012403896,0.000007556985,0.000047017642,0.00022971272,0.00015518938,0.0002309763,0.000025962761,0.00003198223,0.0000029536905],"about_ca_topic_score_codex":0.010747799,"about_ca_topic_score_gemma":0.056198686,"teacher_disagreement_score":0.010747799,"about_ca_system_score_codex":0.00060952164,"about_ca_system_score_gemma":0.00030627343,"threshold_uncertainty_score":0.02137047},"labels":[],"label_agreement":null},{"id":"W1978814356","doi":"10.1016/j.fishres.2014.06.007","title":"Evaluating potential biodegradable twines for use in the snow crab fishery off Newfoundland and Labrador","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fishery; Fishing; Snow; Breaking strength; Environmental science; Geography; Biology; Meteorology","score_opus":0.10914221154663976,"score_gpt":0.35428509783611895,"score_spread":0.24514288628947917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978814356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928457,0.000098592776,0.00016741504,0.00001519906,0.0000024840951,0.000019610907,0.000094723735,0.0000020078312,0.0003153732],"genre_scores_gemma":[0.99459416,0.00040689236,0.0027995028,0.000036278507,0.00000255744,0.000024876257,0.00021627145,0.000004829515,0.0019146388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997553,0.00002707691,0.000016439366,0.00005729023,0.00008375203,0.000060039307],"domain_scores_gemma":[0.9995963,0.000036956742,0.00014096672,0.000012069044,0.00015496464,0.0000588405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003156168,0.0003531321,0.00025842246,0.00063164724,0.0005942794,0.0006335977,0.0002528018,0.00025600888,0.0008236403],"category_scores_gemma":[0.00061279925,0.00013724466,0.000289865,0.00050138595,0.00032994727,0.000440909,0.00036651775,0.00019499061,0.000119491655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001462374,0.00045563243,0.49188605,0.00049858034,0.00017033356,0.0008022753,0.0011439512,0.0016987245,0.40680587,0.00015913762,0.00029297787,0.09462418],"study_design_scores_gemma":[0.000019288933,0.009157312,0.9161843,0.000090539106,0.00019190321,0.0003907671,0.003387862,0.001448594,0.064970426,0.000059035843,0.004063581,0.000036462858],"about_ca_topic_score_codex":0.08200741,"about_ca_topic_score_gemma":0.3980565,"teacher_disagreement_score":0.9179926,"about_ca_system_score_codex":0.0014169295,"about_ca_system_score_gemma":0.0009618647,"threshold_uncertainty_score":0.16306013},"labels":[],"label_agreement":null},{"id":"W1979703408","doi":"10.1016/j.fishres.2014.12.024","title":"Simulated mark-recovery for spatial assessment of a spiny lobster (Panulirus argus) fishery","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Cooperative Institute for Marine and Atmospheric Studies, University of Miami; University of Miami","keywords":"Panulirus argus; Spiny lobster; Fishing; Fishery; Stock assessment; Marine reserve; Stock (firearms); Reef; Marine protected area; Fisheries management; Population; Environmental science; Geography; Ecology; Habitat; Biology","score_opus":0.10965283809635393,"score_gpt":0.3769332462141169,"score_spread":0.267280408117763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979703408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99658656,0.000020313255,0.002896129,0.000030418872,0.0000050478798,0.000008196174,0.00013414999,0.00006211288,0.00025712265],"genre_scores_gemma":[0.9985513,0.00000560244,0.0012009968,0.0000035994715,6.819287e-7,0.000005197118,0.000114506394,0.0000027018252,0.000115391376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981874,0.000050652587,0.000012678819,0.000041282026,0.00003566442,0.000041074672],"domain_scores_gemma":[0.99893767,0.00052208215,0.0001415797,0.00012653382,0.00017352978,0.00009863396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007302674,0.00024395958,0.00026212833,0.00039948546,0.00029761207,0.00031861104,0.00077228947,0.0008234598,0.00076437974],"category_scores_gemma":[0.002813089,0.00022628631,0.00037337394,0.0003431575,0.00037386085,0.00040965065,0.0005148783,0.0002983988,0.000105207226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053678046,0.00020229032,0.04270352,0.00002235355,0.00007192139,0.00017883736,0.00007461878,0.9471561,0.003036827,0.00040065634,0.00024114405,0.0053749154],"study_design_scores_gemma":[0.00002106547,0.00011412641,0.0149240075,0.0000029776068,0.000019949372,0.000029718522,0.000054499058,0.983444,0.0011271712,0.00018013896,0.00007179641,0.000010545475],"about_ca_topic_score_codex":0.028208774,"about_ca_topic_score_gemma":0.028634852,"teacher_disagreement_score":0.028208774,"about_ca_system_score_codex":0.00070160755,"about_ca_system_score_gemma":0.0006266557,"threshold_uncertainty_score":0.056089163},"labels":[],"label_agreement":null},{"id":"W1986616449","doi":"10.1016/j.fishres.2012.02.019","title":"Effect of age and temperature on spawning time in two gadoid species","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Spawn (biology); Gadus; Haddock; Fishery; Atlantic cod; Biology; Fish stock; Gadidae; Fish ","score_opus":0.027396133140321435,"score_gpt":0.3254892819559482,"score_spread":0.29809314881562676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986616449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997445,0.00006473204,0.000029333034,0.000008211222,0.0000030082601,9.878717e-7,0.000035174373,0.0000014455322,0.00011270977],"genre_scores_gemma":[0.9993554,0.00006220009,0.00013273895,0.000024745023,0.0000033091774,0.0000043553277,0.000098302786,0.0000072653925,0.00031176658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985385,0.000043927175,0.000019384599,0.000039429502,0.000016892849,0.000026446329],"domain_scores_gemma":[0.9979231,0.0009632641,0.00041453738,0.00013866129,0.00017148971,0.00038890893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042930566,0.00023239969,0.00037136738,0.00044070857,0.00027152093,0.00042539687,0.00021115327,0.00026073476,0.0011561525],"category_scores_gemma":[0.0016470177,0.0002572273,0.00029110073,0.0001991349,0.0003322978,0.00036246842,0.00037153895,0.0003914868,0.00016448852],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014752868,0.00043004658,0.65769845,0.00012331209,0.00024884238,0.00043228388,0.0011850493,0.000766827,0.3114342,0.00018804893,0.00021056324,0.012529453],"study_design_scores_gemma":[0.00003240585,0.00078020187,0.9929155,0.000003113301,0.000070247734,0.00015005804,0.00020962344,0.00029729606,0.0052520637,0.00005420053,0.00022398002,0.000011294524],"about_ca_topic_score_codex":0.0017325834,"about_ca_topic_score_gemma":0.00613051,"teacher_disagreement_score":0.0017325834,"about_ca_system_score_codex":0.00035753704,"about_ca_system_score_gemma":0.00018794986,"threshold_uncertainty_score":0.0038676858},"labels":[],"label_agreement":null},{"id":"W1989187212","doi":"10.1016/j.fishres.2014.09.018","title":"Analysis of sailfish (Istiophorus platypterus) population structure in the North Pacific Ocean","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Texas A and M University","keywords":"Pacific ocean; Population; Geography; Oceanography; Mitochondrial DNA; Biology; Microsatellite; Fishery; Demography; Geology; Genetics; Gene","score_opus":0.02599881858448153,"score_gpt":0.2821765983146838,"score_spread":0.2561777797302022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989187212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99981374,0.000016651264,0.0000384736,0.0000032656121,2.51144e-7,0.0000010459415,0.00001815284,4.977572e-7,0.00010794655],"genre_scores_gemma":[0.9995283,0.00004158733,0.0001420307,0.0000053124822,7.801001e-7,0.000004221447,0.00010643027,8.0550814e-7,0.00017053797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998858,0.000017530047,0.000009103919,0.000040243067,0.00002468394,0.000022732258],"domain_scores_gemma":[0.9996239,0.00006497582,0.000116529736,0.000022852597,0.000083621635,0.00008809357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026171605,0.000183075,0.00014359932,0.0012078292,0.0005514099,0.0003030569,0.00021675663,0.00014183241,0.0005135926],"category_scores_gemma":[0.0005476064,0.00015716508,0.00019554768,0.0007773164,0.00047643934,0.00025825793,0.0004020343,0.00025379486,0.00008106305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014151448,0.000040591895,0.9690578,0.00001692338,0.000057862424,0.00006344958,0.0007932956,0.0003809931,0.02202318,0.00007875859,0.000028858092,0.007316778],"study_design_scores_gemma":[0.0000022965148,0.000023686744,0.99917233,0.0000016013615,0.000007424108,0.000021202712,0.00025655638,0.0002556878,0.00019126605,0.000016253472,0.000050068622,0.0000016886802],"about_ca_topic_score_codex":0.05086352,"about_ca_topic_score_gemma":0.09034141,"teacher_disagreement_score":0.05086352,"about_ca_system_score_codex":0.0006197465,"about_ca_system_score_gemma":0.0005969939,"threshold_uncertainty_score":0.1011349},"labels":[],"label_agreement":null},{"id":"W1990215771","doi":"10.1016/j.fishres.2007.10.022","title":"‘Fishing down marine food webs’ and spatial expansion of coastal fisheries in India, 1950–2000","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Pew Charitable Trusts","keywords":"Trophic level; Fishing; Fishery; Geography; Context (archaeology); Fisheries management; Marine ecosystem; Ecology; Ecosystem; Overexploitation; Environmental science; Biology","score_opus":0.030030679560507315,"score_gpt":0.283737864758243,"score_spread":0.25370718519773566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990215771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973936,0.00032196252,0.0000461225,0.00013526171,0.00000687809,0.0000015743602,0.0009442082,0.0000068574395,0.0011436016],"genre_scores_gemma":[0.99881905,0.00014778503,0.00005111241,0.000017445289,0.000005971308,0.0000014901174,0.00060751266,0.0000013956382,0.00034826164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998368,0.000020469884,0.000025142517,0.000046680616,0.00002101317,0.000049911963],"domain_scores_gemma":[0.9988165,0.00023847446,0.0005210152,0.00011046972,0.00018173333,0.00013187797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026750425,0.00018702153,0.00011225926,0.0015327068,0.00048604034,0.0007187469,0.0006315991,0.0002972239,0.0016876865],"category_scores_gemma":[0.0015732679,0.00021334985,0.0003736107,0.003179251,0.0010577026,0.0005949453,0.0008541779,0.0005066055,0.0002649859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010544968,0.000018175704,0.99044776,0.000046207122,0.00010312273,0.00022508636,0.0014584471,0.00063646055,0.0004413429,0.0005532756,0.0006462904,0.005318484],"study_design_scores_gemma":[6.6947814e-7,0.000005471633,0.99912494,0.0000037256402,0.000010014643,0.000063948486,0.00030307792,0.00008595876,0.000035738783,0.000025178419,0.0003387936,0.000002521457],"about_ca_topic_score_codex":0.12378927,"about_ca_topic_score_gemma":0.19545522,"teacher_disagreement_score":0.12378927,"about_ca_system_score_codex":0.0011492048,"about_ca_system_score_gemma":0.0005792166,"threshold_uncertainty_score":0.2461375},"labels":[],"label_agreement":null},{"id":"W1997508340","doi":"10.1016/j.fishres.2007.12.018","title":"Evaluating the status of exploited taxa in the northern South China Sea using intrinsic vulnerability and spatially explicit catch-per-unit-effort data","year":2008,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Council","keywords":"Vulnerability (computing); Taxon; Unit (ring theory); China; Geography; Oceanography; Fishery; Ecology; Environmental science; Geology; Biology; Mathematics; Computer science","score_opus":0.30024126817559194,"score_gpt":0.40711425425555736,"score_spread":0.10687298607996543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997508340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998425,0.000009796218,0.00003729214,0.000004815096,2.5170945e-7,8.4774865e-7,0.00006144038,8.5940627e-7,0.000042217005],"genre_scores_gemma":[0.99963355,0.000016875378,0.000099412595,0.0000016355498,6.693879e-7,0.0000024325248,0.00019906282,5.2550376e-7,0.00004571211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964654,0.0000842978,0.00004293566,0.000090114365,0.00006343833,0.00007271008],"domain_scores_gemma":[0.998381,0.00052096887,0.0005304808,0.00012470812,0.00018954884,0.00025330184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001301897,0.000506139,0.0003059772,0.0019049293,0.00045585964,0.00058626395,0.00046393438,0.00043258118,0.0004767676],"category_scores_gemma":[0.0029148352,0.0003550559,0.0004679037,0.001966421,0.0005397957,0.001517895,0.0010549583,0.00021454891,0.00008151326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004496828,0.000014505221,0.9944601,0.000008740459,0.00006296558,0.000059131,0.00015593912,0.0026328762,0.0003471107,0.000051322877,0.000022786295,0.0021396936],"study_design_scores_gemma":[0.0000037657774,0.00002867798,0.98717135,0.0000040132163,0.000029301948,0.000024752468,0.00046391162,0.012026993,0.000092844544,0.000104059625,0.000042432483,0.000007861649],"about_ca_topic_score_codex":0.07176865,"about_ca_topic_score_gemma":0.16919506,"teacher_disagreement_score":0.07176865,"about_ca_system_score_codex":0.0010836542,"about_ca_system_score_gemma":0.0010080175,"threshold_uncertainty_score":0.1427018},"labels":[],"label_agreement":null},{"id":"W2003450453","doi":"10.1016/j.fishres.2005.04.002","title":"Characteristics of bycatch of porcupine crabs, Neolithodes grimaldii (Milne-Edwards and Bouvier, 1894) from deepwater turbot gillnets in the northwest Atlantic","year":2005,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bycatch; Fishery; Carapace; Fishing; Biology; Turbot; Crustacean; Fish ","score_opus":0.030391447403061354,"score_gpt":0.2906355575896331,"score_spread":0.26024411018657173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003450453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993962,0.000033014494,0.000012900457,0.0000035422947,0.0000015019932,0.0000031825077,0.00022390329,8.5855663e-7,0.00032482776],"genre_scores_gemma":[0.99847347,0.00007436727,0.00006170846,0.000021462105,0.0000027465937,0.000007764967,0.0006840788,0.0000021317385,0.0006723229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998611,0.000015589421,0.0000131989755,0.00004325413,0.000032268934,0.00003449326],"domain_scores_gemma":[0.99951684,0.00006049876,0.00016453363,0.000016559045,0.00011529374,0.0001261978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015948951,0.00030151877,0.00021285162,0.0016028442,0.0005585542,0.00037022773,0.00027229008,0.0002789813,0.0011232595],"category_scores_gemma":[0.00052210165,0.0002086325,0.00018391534,0.0007261031,0.0003547849,0.0003225447,0.00040897971,0.0001988099,0.00035852395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009784659,0.000024444038,0.99164975,0.000016612192,0.000015883606,0.00020681061,0.0007937952,0.000026608075,0.005182945,0.000010974869,0.00008505032,0.0018893331],"study_design_scores_gemma":[5.590993e-7,0.000023354765,0.99943525,0.000001299107,0.0000023862149,0.000103508675,0.0002729859,0.000012284734,0.00008757908,0.000001947622,0.000057647474,0.0000011404211],"about_ca_topic_score_codex":0.04833378,"about_ca_topic_score_gemma":0.1749307,"teacher_disagreement_score":0.04833378,"about_ca_system_score_codex":0.00064214703,"about_ca_system_score_gemma":0.00028105002,"threshold_uncertainty_score":0.09610486},"labels":[],"label_agreement":null},{"id":"W2006659901","doi":"10.1016/s0165-7836(99)00101-0","title":"Length–weight–age relationships, food, and parasites of Atlantic cod (Gadus morhua) off coastal Labrador within NAFO Divisions 2H and 2J-3K","year":2000,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Gadus; Capelin; Atlantic cod; Gadidae; Fishery; Predation; Geography; Cod fisheries; Bay; Fauna; Oceanography; Biology; Ecology; Fishing; Fish ; Geology","score_opus":0.05784147786548714,"score_gpt":0.34715798406474235,"score_spread":0.2893165061992552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006659901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99984276,0.000011434802,0.0000040007358,0.0000058899445,5.9430596e-7,4.8962085e-7,0.00006697075,4.032035e-7,0.00006742967],"genre_scores_gemma":[0.9995259,0.000020528983,0.000021776947,0.000009576965,0.0000013382379,0.0000015799922,0.00017466619,8.284723e-7,0.0002437325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998821,0.000016696642,0.000012662331,0.000025056645,0.000018322884,0.000045171306],"domain_scores_gemma":[0.99934477,0.00008742479,0.00024103564,0.000032200947,0.000091481044,0.00020315593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021322985,0.00015988159,0.00016445653,0.000613848,0.0005022821,0.0003735947,0.00031220063,0.00030279698,0.0007656622],"category_scores_gemma":[0.00074459566,0.00021328292,0.0001600912,0.0005119306,0.00040050302,0.00033820132,0.00037474564,0.00032364347,0.00021017187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009306667,0.000024981064,0.9981542,0.0000029077523,0.00001803165,0.00004735269,0.00028098447,0.000031959284,0.00055898965,0.000009016817,0.000050197705,0.000728425],"study_design_scores_gemma":[8.9136597e-7,0.000024464644,0.9995679,6.791795e-7,0.000004300606,0.000026926818,0.0002628309,0.000032902415,0.000029558581,0.0000030158608,0.000045557663,8.7677284e-7],"about_ca_topic_score_codex":0.11450459,"about_ca_topic_score_gemma":0.28623828,"teacher_disagreement_score":0.8854954,"about_ca_system_score_codex":0.0007339179,"about_ca_system_score_gemma":0.00035168073,"threshold_uncertainty_score":0.22767615},"labels":[],"label_agreement":null},{"id":"W2009442825","doi":"10.1016/j.fishres.2007.03.004","title":"The Danish fish fauna during the warm Atlantic period (ca. 7000–3900bc): Forerunner of future changes?","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Fishery; Herring; Fishing; Geography; Anchovy; Gadus; Fauna; Oceanography; Biology; Ecology; Geology; Fish ","score_opus":0.02330571201253901,"score_gpt":0.28739892291245306,"score_spread":0.26409321089991405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009442825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791108,0.010869756,0.00013658812,0.0040493873,0.00012456228,0.0000053117315,0.0014652098,0.0000069779785,0.0042313957],"genre_scores_gemma":[0.99516207,0.0033388408,0.00013307812,0.0002606408,0.000055997665,0.0000029212438,0.0003677334,0.0000026337934,0.0006760531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997042,0.000045196575,0.000028227083,0.0000620287,0.00005580537,0.00010449955],"domain_scores_gemma":[0.99927515,0.00007275865,0.00019218886,0.000033704455,0.00023046831,0.00019577265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007640896,0.00013288675,0.00024748404,0.00053650234,0.000727105,0.0010977236,0.00027952789,0.000560869,0.0036113157],"category_scores_gemma":[0.001105742,0.00019650652,0.00018884588,0.0008006251,0.0011792127,0.0012431601,0.0006008404,0.0005777142,0.00031506692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035019405,0.000025616724,0.95439196,0.0004099364,0.00018268023,0.00021406586,0.002866275,0.00013418261,0.003963515,0.0014435487,0.0026328152,0.033385206],"study_design_scores_gemma":[0.0000021399144,0.000011876044,0.9932405,0.000031521326,0.000013576677,0.0000497125,0.0016883353,0.000033474596,0.00004958972,0.00006277158,0.0048118955,0.00000460542],"about_ca_topic_score_codex":0.16102129,"about_ca_topic_score_gemma":0.45034105,"teacher_disagreement_score":0.16102129,"about_ca_system_score_codex":0.001782613,"about_ca_system_score_gemma":0.0019145347,"threshold_uncertainty_score":0.32016808},"labels":[],"label_agreement":null},{"id":"W2010966498","doi":"10.1016/j.fishres.2015.01.002","title":"Cautions on using percentile-based benchmarks of status for data-limited populations of Pacific salmon under persistent trends in productivity and uncertain outcomes from harvest management","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Productivity; Metapopulation; Percentile; Stock (firearms); Stock assessment; Environmental resource management; Simulation modeling; Computer science; Econometrics; Environmental science; Statistics; Fishery; Fishing; Geography; Mathematics; Economics; Biology; Population; Demography","score_opus":0.3140550915579314,"score_gpt":0.38857638999734656,"score_spread":0.07452129843941518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010966498","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16965403,0.017744027,0.2690232,0.39617705,0.03195825,0.0026333479,0.013630195,0.004552817,0.094627075],"genre_scores_gemma":[0.54693884,0.0025228413,0.27930745,0.15055595,0.0049032182,0.0028566387,0.003035311,0.00087153027,0.009008204],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.85683113,0.094910294,0.020231513,0.0059683444,0.020084683,0.0019741375],"domain_scores_gemma":[0.57952064,0.29168138,0.022553312,0.023126183,0.07717041,0.005948101],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.20470057,0.0012904777,0.0031194936,0.0048851506,0.0030620364,0.0071016513,0.008114225,0.0047010398,0.0026133435],"category_scores_gemma":[0.51366967,0.0011246743,0.0022180786,0.005886022,0.005810344,0.0052996874,0.004528509,0.016607821,0.0017978249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017802166,0.00053368,0.20261358,0.0026080736,0.0017968791,0.00074195664,0.013685511,0.009715166,0.001855942,0.0707258,0.45051447,0.24342881],"study_design_scores_gemma":[0.0007116322,0.0019037582,0.24092099,0.022140624,0.0013836663,0.0031564138,0.025357174,0.04177173,0.009314821,0.2381009,0.4139022,0.0013361376],"about_ca_topic_score_codex":0.03407995,"about_ca_topic_score_gemma":0.055200145,"teacher_disagreement_score":0.20470057,"about_ca_system_score_codex":0.0026942973,"about_ca_system_score_gemma":0.0066510323,"threshold_uncertainty_score":0.9807458},"labels":[],"label_agreement":null},{"id":"W2011175723","doi":"10.1016/j.fishres.2010.10.024","title":"The Baltic Sea: Estimates of total fisheries removals 1950–2007","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Discards; Fishing; Baltic sea; Fishery; Geography; Recreation; Environmental science; Environmental protection; Oceanography; Ecology; Biology","score_opus":0.0875472962885396,"score_gpt":0.31257927655791184,"score_spread":0.22503198026937224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011175723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621114,0.0055634133,0.00074319006,0.0002886371,0.0001262548,0.000019985748,0.01881655,0.00009018327,0.012240397],"genre_scores_gemma":[0.9459633,0.0044458644,0.0018753565,0.00018920317,0.00007130888,0.00004616235,0.03401646,0.000040803607,0.01335161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996898,0.000030978452,0.00006104153,0.000071137416,0.000098533754,0.000048481535],"domain_scores_gemma":[0.9994398,0.000049098686,0.00021599613,0.000034008757,0.00022393078,0.00003706414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007634869,0.00046042306,0.00028867248,0.003255493,0.00042957583,0.0007969334,0.0004932699,0.0003656146,0.0012127392],"category_scores_gemma":[0.0010564432,0.00040154092,0.0006298165,0.0030042916,0.00029729248,0.0006877738,0.0007877174,0.00044243457,0.00049189554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001695433,0.00004543854,0.932858,0.0003102065,0.00094415515,0.00025434722,0.0007020796,0.002947387,0.001172676,0.00052032963,0.010168093,0.04990781],"study_design_scores_gemma":[0.0000059159784,0.0000118120515,0.98736763,0.000051979223,0.00008662465,0.00007807628,0.00015608757,0.00048302824,0.00023203922,0.00004626343,0.01147378,0.0000067833753],"about_ca_topic_score_codex":0.16173847,"about_ca_topic_score_gemma":0.27112073,"teacher_disagreement_score":0.16173847,"about_ca_system_score_codex":0.0012276284,"about_ca_system_score_gemma":0.0013672886,"threshold_uncertainty_score":0.32159406},"labels":[],"label_agreement":null},{"id":"W2013125481","doi":"10.1016/j.fishres.2009.01.005","title":"Comparison between dynamic simulation and physical model testing of new trawl design for Chilean crustacean fisheries","year":2009,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Towing; Flume; Fishery; Marine engineering; Environmental science; Crustacean; Froude number; Mathematics; Engineering; Biology","score_opus":0.2002569656226567,"score_gpt":0.4145035432900764,"score_spread":0.21424657766741967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013125481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829542,0.000071544644,0.013976323,0.00005665793,0.00002544729,0.00006634965,0.000149812,0.00012998116,0.0025695278],"genre_scores_gemma":[0.99587125,0.000025651125,0.0034336196,0.0000061204078,0.0000018355446,0.000035876565,0.00007531623,0.000014148587,0.00053627614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995628,0.00015786679,0.00004504067,0.000058447713,0.00011655729,0.000059313126],"domain_scores_gemma":[0.9964204,0.0022309285,0.00023103545,0.00029168904,0.00072433444,0.00010163306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013470132,0.00062577805,0.0004367591,0.0008983385,0.00038534476,0.0006641137,0.0008452893,0.0006868718,0.0030090457],"category_scores_gemma":[0.0039477893,0.00049471826,0.0004965024,0.00033357917,0.00035509284,0.00082887925,0.0004188987,0.0002549882,0.00022216118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010436731,0.0004416233,0.013830216,0.0001344997,0.000049178223,0.000077424455,0.0001746838,0.9398195,0.010067043,0.00038723228,0.00028090164,0.033694092],"study_design_scores_gemma":[0.000078974925,0.00088633446,0.0076752394,0.000015228426,0.00003750266,0.000022879442,0.00013958545,0.9869665,0.003645775,0.00012344246,0.00038879307,0.000019706822],"about_ca_topic_score_codex":0.014188151,"about_ca_topic_score_gemma":0.012712273,"teacher_disagreement_score":0.014188151,"about_ca_system_score_codex":0.0013373507,"about_ca_system_score_gemma":0.0009044175,"threshold_uncertainty_score":0.028211117},"labels":[],"label_agreement":null},{"id":"W2014437674","doi":"10.1016/s0165-7836(00)00148-x","title":"Interannual differences in hatching times and growth rates of pelagic juvenile cod in Newfoundland waters","year":2000,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"H2020 European Research Council","keywords":"Pelagic zone; Juvenile; Hatching; Fishery; Environmental science; Oceanography; Biology; Geology; Ecology","score_opus":0.0348934660507598,"score_gpt":0.29674993631295427,"score_spread":0.2618564702621945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014437674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999602,0.000043058975,0.000013690712,0.000011812784,0.0000018268196,7.691869e-7,0.00016532233,0.0000015595039,0.00016001097],"genre_scores_gemma":[0.99920565,0.000042700147,0.000029503688,0.000015142494,0.0000017930174,0.0000026207897,0.00028428933,0.000002278728,0.00041609228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984896,0.000017038463,0.000014962137,0.000044311695,0.000020099378,0.00005449948],"domain_scores_gemma":[0.99881136,0.0002787115,0.00040402543,0.00007664902,0.00017521493,0.00025400356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003140425,0.00014042923,0.00016075169,0.0006483519,0.00048678688,0.00044503005,0.00025240323,0.00028774538,0.0014860131],"category_scores_gemma":[0.0013719649,0.00030334335,0.00018226317,0.000448827,0.0004242318,0.00044021857,0.00042834337,0.00029688998,0.000227227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021057237,0.000023932773,0.9950512,0.000008486414,0.00004675681,0.000058568152,0.00031498948,0.00012858142,0.001965311,0.000018449931,0.0001489042,0.0020242485],"study_design_scores_gemma":[5.3735204e-7,0.000003613952,0.99987674,4.7083535e-7,0.0000021710891,0.00000676357,0.00005477053,0.000013700353,0.000020901543,0.0000013495508,0.000018335824,6.041473e-7],"about_ca_topic_score_codex":0.24850929,"about_ca_topic_score_gemma":0.6069331,"teacher_disagreement_score":0.7514907,"about_ca_system_score_codex":0.0014364182,"about_ca_system_score_gemma":0.0007241274,"threshold_uncertainty_score":0.4941256},"labels":[],"label_agreement":null},{"id":"W2016059343","doi":"10.1016/j.fishres.2014.10.015","title":"Ultrasonography as a non-invasive tool for sex determination and maturation monitoring in silver eels","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; Agence Nationale de la Recherche","keywords":"Gonad; Gonadosomatic Index; Biology; Ovary; Ultrasonography; Development of the gonads; Context (archaeology); Zoology; Anatomy; Fishery; Endocrinology; Surgery; Medicine; Population","score_opus":0.03229849154103271,"score_gpt":0.34019289516403567,"score_spread":0.30789440362300297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016059343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927591,0.0013155501,0.004827692,0.000066428765,0.000022307857,0.000016915856,0.00008362802,0.000055308286,0.00085305993],"genre_scores_gemma":[0.99122626,0.0007480565,0.0066098566,0.000060893257,0.000025155938,0.000022369291,0.00006965346,0.000010900519,0.0012267184],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979967,0.00009281168,0.000010324196,0.000038062422,0.00003947586,0.000019622512],"domain_scores_gemma":[0.9995328,0.00014626945,0.00011122724,0.000027455892,0.000098445686,0.00008386812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041511568,0.00027971156,0.00019708746,0.00066799467,0.000116964955,0.00032106353,0.00022190038,0.00037416158,0.00060985744],"category_scores_gemma":[0.00074751314,0.0001308757,0.00013787323,0.00022227432,0.00029111683,0.0003960812,0.0003034391,0.00027447796,0.00017870171],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017018145,0.0002842298,0.37616062,0.00018248831,0.000051372313,0.00077667256,0.00067866803,0.00049265404,0.51325166,0.00018308239,0.0003779439,0.10585873],"study_design_scores_gemma":[0.0000721584,0.007663841,0.877583,0.00012635831,0.00032273738,0.004473989,0.0023843655,0.011756221,0.09303476,0.00035650702,0.0021449581,0.00008105849],"about_ca_topic_score_codex":0.0014054532,"about_ca_topic_score_gemma":0.003040761,"teacher_disagreement_score":0.0014054532,"about_ca_system_score_codex":0.00011370885,"about_ca_system_score_gemma":0.00029534826,"threshold_uncertainty_score":0.0027945638},"labels":[],"label_agreement":null},{"id":"W2017487992","doi":"10.1016/j.fishres.2014.09.003","title":"Predation of pop-up satellite archival tagged albacore (Thunnus alalunga)","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Eusko Jaurlaritza; European Commission","keywords":"Thunnus; Albacore; Diel vertical migration; Tuna; Bay; Predation; Fishery; Oceanography; Biology; Fish ; Geology; Ecology","score_opus":0.0470554242259854,"score_gpt":0.30972780853280985,"score_spread":0.26267238430682444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017487992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996486,0.0000075613843,0.000008959965,0.0000063103485,0.000001314147,0.0000011659421,0.00004542411,0.0000018044294,0.00027891505],"genre_scores_gemma":[0.9981767,0.00001779278,0.000059650694,0.00003022319,0.0000016178765,0.000005338491,0.00022612444,0.0000020184245,0.0014805382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999043,0.000013036202,0.0000044761505,0.00003126653,0.000024948897,0.00002195748],"domain_scores_gemma":[0.999511,0.00007863617,0.00013600542,0.00004206603,0.0000777709,0.00015455176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015706365,0.0002448656,0.000189171,0.00042832436,0.00056789187,0.00045838914,0.00023649767,0.00038965512,0.0027865109],"category_scores_gemma":[0.000609598,0.0001756464,0.0001292731,0.00015520997,0.00031908404,0.00026265043,0.00043534723,0.00027395063,0.00045962696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010936086,0.00018602223,0.92037654,0.000032949967,0.0000773015,0.00039499463,0.0008190335,0.00013588382,0.070787564,0.00006778978,0.0004416037,0.0055866684],"study_design_scores_gemma":[0.0000033301992,0.00012682805,0.99842,0.0000019986903,0.000009644047,0.0000643689,0.0003069419,0.00012958865,0.00085726584,0.000009039678,0.000068574,0.000002336113],"about_ca_topic_score_codex":0.038070273,"about_ca_topic_score_gemma":0.12580408,"teacher_disagreement_score":0.038070273,"about_ca_system_score_codex":0.0007017282,"about_ca_system_score_gemma":0.00025178742,"threshold_uncertainty_score":0.07569736},"labels":[],"label_agreement":null},{"id":"W2020080595","doi":"10.1016/j.fishres.2012.12.001","title":"The fisherwomen of Ngazidja island, Comoros: Fisheries livelihoods, impacts, and implications for management","year":2013,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Island University; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; University of Victoria","keywords":"Livelihood; Fishing; Fishery; Artisanal fishing; Food security; Sustainability; Business; Geography; Environmental resource management; Environmental planning; Economics; Ecology; Agriculture","score_opus":0.03797340467199256,"score_gpt":0.29605703038949427,"score_spread":0.2580836257175017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020080595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527824,0.0014661674,0.000010599646,0.0016361583,0.0000116088395,0.000005609708,0.00012661537,7.168786e-7,0.0014642014],"genre_scores_gemma":[0.9957045,0.002044213,0.00005414123,0.00019441805,0.0000072403973,0.0000076154765,0.00010349322,8.844346e-7,0.0018834581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998363,0.000044115826,0.000009129638,0.000013024307,0.00001742215,0.00007995821],"domain_scores_gemma":[0.99970144,0.000037251975,0.00006720426,0.0000058426695,0.00003794923,0.0001502882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003571017,0.00015548014,0.00016734593,0.0008082812,0.0022983437,0.00081740145,0.00039292197,0.00043291636,0.0037812],"category_scores_gemma":[0.00097145437,0.00013717584,0.00009838307,0.0017399174,0.0005584083,0.0007498315,0.0010672839,0.00039624868,0.00019783813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082253224,0.000072783136,0.9462497,0.000080393205,0.000020373765,0.0015219447,0.02187953,0.000043567285,0.00034785733,0.00072640326,0.0027120565,0.026263054],"study_design_scores_gemma":[0.0000038297835,0.000035370034,0.88097215,0.000074769116,0.000014207986,0.00020739806,0.11489933,0.000056041896,0.00003439902,0.00014198404,0.0035535796,0.000006976692],"about_ca_topic_score_codex":0.33341262,"about_ca_topic_score_gemma":0.71439344,"teacher_disagreement_score":0.33341262,"about_ca_system_score_codex":0.0019795105,"about_ca_system_score_gemma":0.0026954315,"threshold_uncertainty_score":0.66294384},"labels":[],"label_agreement":null},{"id":"W2021810699","doi":"10.1016/s0165-7836(00)00205-8","title":"rapfish: a rapid appraisal technique to evaluate the sustainability status of fisheries","year":2001,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":455,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fisheries management; Sustainability; Ordination; Scope (computer science); Fishery; Leverage (statistics); Computer science; Fishing; Environmental resource management; Environmental science; Ecology; Mathematics; Statistics; Biology","score_opus":0.05927723922950967,"score_gpt":0.37831133868036965,"score_spread":0.31903409945086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021810699","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39705962,0.0019979565,0.51913726,0.00089029555,0.000822611,0.0051748995,0.01138758,0.007213929,0.05631592],"genre_scores_gemma":[0.34289277,0.00088867533,0.63170356,0.00016209514,0.00015474868,0.0027728167,0.002040392,0.0004571155,0.018927854],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969531,0.0010048196,0.0002779617,0.00028974927,0.0013425713,0.00013166657],"domain_scores_gemma":[0.98993313,0.003686484,0.0011719158,0.00070862344,0.0040852735,0.00041462068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010661797,0.0010108545,0.00071280083,0.0067721405,0.000528724,0.0011051665,0.0008601193,0.00060732063,0.008892108],"category_scores_gemma":[0.016346967,0.000519622,0.0007010812,0.0024890455,0.0004780128,0.002129747,0.0015624646,0.0007887937,0.0028936274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017169361,0.0002460872,0.14523128,0.00097008183,0.00048288965,0.0005389483,0.00141495,0.0029248798,0.036887474,0.0040921783,0.023650235,0.781844],"study_design_scores_gemma":[0.0007438521,0.006751939,0.6405058,0.0006542697,0.0016742061,0.008281325,0.004969702,0.11176279,0.08840841,0.0113757085,0.124001175,0.00087086216],"about_ca_topic_score_codex":0.003950072,"about_ca_topic_score_gemma":0.009496064,"teacher_disagreement_score":0.010661797,"about_ca_system_score_codex":0.00047336245,"about_ca_system_score_gemma":0.0010468699,"threshold_uncertainty_score":0.056385636},"labels":[],"label_agreement":null},{"id":"W2022458705","doi":"10.1016/j.fishres.2014.01.023","title":"Thirty years of reoligotrophication do not contribute to restore self-sustaining fisheries of Arctic charr, Salvelinus alpinus, in Lake Geneva","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shipping Federation of Canada","funders":"Bundesamt für Umwelt; Office National de l’Eau et des Milieux Aquatiques","keywords":"Stocking; Salvelinus; Fishery; Fisheries management; Trophic level; Population; Geography; Arctic; Biology; Ecology; Environmental science; Fishing; Fish ; Trout; Demography","score_opus":0.02630716605997088,"score_gpt":0.28576392644403287,"score_spread":0.259456760384062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022458705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993781,0.000038316262,0.000012809566,0.000074243384,0.000005553055,0.0000014483026,0.000027445309,0.0000033415558,0.00045871641],"genre_scores_gemma":[0.9993012,0.000020958516,0.000021748769,0.00003834219,0.0000041641706,0.0000037820266,0.000075267286,0.0000015394523,0.0005331473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997974,0.000034099114,0.000015461663,0.000027241644,0.00002448868,0.00010133147],"domain_scores_gemma":[0.9992072,0.00008025485,0.00017124398,0.00006281021,0.00008944013,0.00038899103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046717306,0.00014492676,0.00015079671,0.0001922405,0.00066093984,0.0007412032,0.0004598147,0.00046478753,0.0025163563],"category_scores_gemma":[0.0011446893,0.00009228322,0.00030054385,0.000111734465,0.00060746365,0.00056832586,0.0008050654,0.00024808742,0.00033489233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025410464,0.00084031123,0.90663844,0.00013628657,0.00026681833,0.0014668279,0.0036618107,0.0019497952,0.035718665,0.0008812285,0.0031420914,0.042756613],"study_design_scores_gemma":[0.000009469761,0.00025600474,0.9958703,0.00000892473,0.000027726037,0.00006436017,0.0017053487,0.00031120158,0.0004186319,0.000118048854,0.0012026499,0.00000734643],"about_ca_topic_score_codex":0.013243233,"about_ca_topic_score_gemma":0.069488,"teacher_disagreement_score":0.013243233,"about_ca_system_score_codex":0.0010349813,"about_ca_system_score_gemma":0.0013471319,"threshold_uncertainty_score":0.02633226},"labels":[],"label_agreement":null},{"id":"W2028492869","doi":"10.1016/j.fishres.2011.06.001","title":"Quantifying the overlooked socio-economic contribution of small-scale fisheries in Sabah, Malaysia","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Pew Charitable Trusts","keywords":"Fishing; Fishery; Livelihood; Fisheries management; Scale (ratio); Sustainability; Geography; Population; Fisheries law; Fisheries science; Ecology; Agriculture; Biology","score_opus":0.10662468595087256,"score_gpt":0.2945392124958575,"score_spread":0.18791452654498497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028492869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999255,0.000048759226,0.00008714251,0.00004322156,9.902642e-7,0.0000031769973,0.000094451585,8.198e-7,0.0004664729],"genre_scores_gemma":[0.99958044,0.000050718038,0.000097175325,0.0000041514463,7.015996e-7,0.0000034169454,0.00004751097,3.7338762e-7,0.00021555423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968755,0.00011575274,0.000029449,0.000036220816,0.00004011547,0.00009090199],"domain_scores_gemma":[0.9987143,0.00048144493,0.0004078182,0.000048992635,0.00018644988,0.000161002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080882583,0.00036509318,0.00019153903,0.0010898156,0.0004028804,0.00089804246,0.00053914473,0.00033138352,0.00084199465],"category_scores_gemma":[0.002485392,0.000230403,0.00028603044,0.0012518079,0.0004691934,0.00082267483,0.0010471636,0.00035594794,0.00012505172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009596407,0.000048418147,0.98307484,0.000061860934,0.00009628052,0.0003395891,0.00086399465,0.004098739,0.0004208032,0.00075386994,0.0001558025,0.009989926],"study_design_scores_gemma":[0.0000029629973,0.00006178801,0.9840008,0.000039831943,0.000047007277,0.00010445214,0.005538201,0.009023621,0.00031835682,0.00033893558,0.00051329366,0.000010776745],"about_ca_topic_score_codex":0.08421416,"about_ca_topic_score_gemma":0.17885211,"teacher_disagreement_score":0.08421416,"about_ca_system_score_codex":0.0022721512,"about_ca_system_score_gemma":0.0017358805,"threshold_uncertainty_score":0.16744792},"labels":[],"label_agreement":null},{"id":"W2029616528","doi":"10.1016/j.fishres.2006.01.005","title":"Multidisciplinary evaluation of the sustainability of Red Sea fisheries using Rapfish","year":2006,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Government of Canada; Pew Charitable Trusts","keywords":"Fishery; Stock assessment; Multidisciplinary approach; Sustainability; Fisheries management; Leverage (statistics); Geography; Stock (firearms); Fisheries science; Fishing; Environmental resource management; Environmental science; Ecology; Statistics; Political science; Mathematics; Biology","score_opus":0.08727697797673498,"score_gpt":0.36781928566212324,"score_spread":0.28054230768538824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029616528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979913,0.00007101724,0.0007828457,0.00003329257,0.0000026314156,0.000016529591,0.000043402943,0.000006939598,0.0010520394],"genre_scores_gemma":[0.997544,0.000067153676,0.0019123072,0.0000099889885,0.0000025857516,0.000014633391,0.00006857515,0.0000022858733,0.00037841193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965733,0.0019200568,0.00021656939,0.00040138693,0.00071633747,0.00017234436],"domain_scores_gemma":[0.9951255,0.0019481925,0.0009050532,0.00044528616,0.0012411025,0.00033496728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060210153,0.00064676185,0.00046427565,0.0018302675,0.00059172977,0.0015487425,0.00052323577,0.0006947493,0.001089402],"category_scores_gemma":[0.006731637,0.00020528426,0.0008168879,0.0011711138,0.0005641206,0.0017307305,0.001074553,0.0003043033,0.00018106676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005677634,0.0017913117,0.6252299,0.00048584933,0.0019486867,0.0009637195,0.000834112,0.12318036,0.0414604,0.0022512565,0.00040377397,0.19577317],"study_design_scores_gemma":[0.00038670012,0.017553156,0.77135265,0.00014614947,0.0017418931,0.00070543983,0.0070574065,0.13926017,0.054221924,0.004571756,0.0028382603,0.00016438219],"about_ca_topic_score_codex":0.0065055112,"about_ca_topic_score_gemma":0.013725179,"teacher_disagreement_score":0.0065055112,"about_ca_system_score_codex":0.0015161082,"about_ca_system_score_gemma":0.0008961565,"threshold_uncertainty_score":0.03184253},"labels":[],"label_agreement":null},{"id":"W2036908663","doi":"10.1016/j.fishres.2013.01.012","title":"Assessment of recreational fishery in the Galapagos Marine Reserve: Failures and opportunities","year":2013,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Park Service; Galapagos Conservation Trust; Fundación Charles Darwin; Galapagos Science Center; Galapagos Conservancy","keywords":"Fishing; Business; Marine protected area; Tourism; Enforcement; Fishery; Port (circuit theory); Recreation; Marine conservation; Marine reserve; Fisheries management; Environmental resource management; Environmental planning; Geography; Habitat; Economics; Ecology; Engineering","score_opus":0.11832962236457006,"score_gpt":0.33543126579536936,"score_spread":0.2171016434307993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036908663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969868,0.0002831469,0.00018199356,0.00019635884,0.0000030188728,0.000013073503,0.00036718158,0.000008088051,0.0019603008],"genre_scores_gemma":[0.9989748,0.0001566502,0.00024680994,0.000022873635,0.0000030276892,0.000007142424,0.00015347154,0.0000026089535,0.00043276706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992317,0.00027748515,0.00006534809,0.00008275716,0.00022557729,0.00011711359],"domain_scores_gemma":[0.99776065,0.0005667137,0.0005277976,0.000170902,0.0006664235,0.00030757667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020624755,0.00039969044,0.00031726735,0.0019045033,0.00044428636,0.0013762317,0.000774888,0.00043106737,0.00083566544],"category_scores_gemma":[0.003820843,0.000172307,0.00034005585,0.0018768144,0.0007597708,0.0009915413,0.0011175653,0.00028772675,0.000108619395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011168144,0.000034858072,0.98854315,0.000033743872,0.000083413004,0.00012475872,0.00028907578,0.001223066,0.0003406969,0.00016097978,0.00023506157,0.008819422],"study_design_scores_gemma":[0.000004969703,0.00005727749,0.993359,0.000027844204,0.000039170944,0.00009217608,0.0017001061,0.003673301,0.00021556189,0.00018431533,0.0006392152,0.0000070765536],"about_ca_topic_score_codex":0.08120724,"about_ca_topic_score_gemma":0.17138536,"teacher_disagreement_score":0.08120724,"about_ca_system_score_codex":0.0014894181,"about_ca_system_score_gemma":0.001339702,"threshold_uncertainty_score":0.16146916},"labels":[],"label_agreement":null},{"id":"W2037118222","doi":"10.1016/j.fishres.2007.11.001","title":"Ecosystem-based psychology, or, how I learned to stop worrying and love the data","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Fisheries management; Fisheries science; Ecosystem; Multidisciplinary approach; Fishery; Ecosystem approach; Environmental resource management; Ecology; Environmental science; Sociology; Social science; Fishing; Biology","score_opus":0.2480148265224896,"score_gpt":0.4302756318645703,"score_spread":0.1822608053420807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037118222","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076409937,0.031837285,0.032921415,0.79763836,0.011892383,0.00006570748,0.0001313083,0.00024314472,0.117629424],"genre_scores_gemma":[0.40161872,0.035354413,0.041344948,0.43498042,0.009225165,0.00022225638,0.00014069205,0.00047043693,0.07664301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974711,0.0013153845,0.00010805658,0.00036391985,0.0005684803,0.00017306265],"domain_scores_gemma":[0.99083143,0.0045791306,0.0008441943,0.0011987452,0.0012322178,0.0013143179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009037528,0.00046293135,0.0005365719,0.001145198,0.002604409,0.0078079468,0.0009976109,0.003164106,0.007708574],"category_scores_gemma":[0.02397999,0.0002804991,0.00047066106,0.0009332542,0.023349024,0.012218613,0.0021162643,0.009461385,0.001809075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059748294,0.00014151575,0.005729462,0.00059240096,0.00014953714,0.00012093279,0.009623888,0.00025393435,0.0011076774,0.60889214,0.27226314,0.10106577],"study_design_scores_gemma":[0.00003534327,0.000079455574,0.0030427226,0.0005963162,0.000041373227,0.00026997534,0.008003074,0.00040348197,0.0004394143,0.66646004,0.32058123,0.000047593916],"about_ca_topic_score_codex":0.0027761806,"about_ca_topic_score_gemma":0.003979385,"teacher_disagreement_score":0.009037528,"about_ca_system_score_codex":0.0018981338,"about_ca_system_score_gemma":0.0029812101,"threshold_uncertainty_score":0.047795594},"labels":[],"label_agreement":null},{"id":"W2037967026","doi":"10.1016/j.fishres.2004.11.002","title":"Stock discrimination of Lake Winnipeg walleye based on Fourier and wavelet description of scale outline signals","year":2004,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Fisheries and Oceans Canada","funders":"","keywords":"Wavelet; Mathematics; Fourier transform; Linear discriminant analysis; Scale (ratio); Pattern recognition (psychology); Statistics; Fourier analysis; Discriminant; Wavelet transform; Artificial intelligence; Computer science; Geography; Cartography; Mathematical analysis","score_opus":0.09326805865132717,"score_gpt":0.2944512023288422,"score_spread":0.20118314367751503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037967026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99962175,0.00001799886,0.00016730296,0.000003909707,9.356989e-7,0.000001233404,0.000029975778,0.0000016344562,0.00015519813],"genre_scores_gemma":[0.99923646,0.000031241147,0.00042100082,0.0000037550685,7.016385e-7,0.0000011407816,0.00008337569,0.0000020733542,0.00022024421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99996257,0.0000056565614,0.0000018668344,0.0000074913396,0.000008845554,0.000013586919],"domain_scores_gemma":[0.99982315,0.00004186462,0.00002932835,0.0000061405362,0.000060345217,0.000039256447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018081763,0.00015322292,0.00012108484,0.0005545016,0.00016572939,0.00034319612,0.00011737689,0.00013723315,0.00047945624],"category_scores_gemma":[0.00062244525,0.000105849234,0.00008611045,0.00025957666,0.00013520235,0.00023389082,0.00021662499,0.00008444716,0.000082562794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025614714,0.00004870793,0.66181856,0.000060212256,0.00012745938,0.00034355422,0.00065254443,0.0029513258,0.2850981,0.0005037825,0.0002954491,0.045538746],"study_design_scores_gemma":[0.000009217577,0.000052335305,0.9873946,0.000005070555,0.00003099342,0.00007252219,0.00017495819,0.008536272,0.003586991,0.000041304247,0.00008666279,0.000009160266],"about_ca_topic_score_codex":0.0537726,"about_ca_topic_score_gemma":0.11628618,"teacher_disagreement_score":0.94622743,"about_ca_system_score_codex":0.0003531084,"about_ca_system_score_gemma":0.00027624427,"threshold_uncertainty_score":0.10691923},"labels":[],"label_agreement":null},{"id":"W2040934056","doi":"10.1016/s0165-7836(02)00251-5","title":"Fishery-independent trap surveys of lobsters (Homarus americanus): design considerations","year":2003,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography","funders":"","keywords":"Homarus; Fishery; Trap (plumbing); American lobster; Fishing; Abundance (ecology); Environmental science; Sampling (signal processing); Stratified sampling; Oceanography; Geography; Crustacean; Statistics; Biology; Meteorology; Mathematics; Geology; Engineering","score_opus":0.11661653906909857,"score_gpt":0.31943417018046866,"score_spread":0.20281763111137008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040934056","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.673446,0.0026530004,0.28744805,0.006715773,0.0007293897,0.013021833,0.001476142,0.000659054,0.013850812],"genre_scores_gemma":[0.49039575,0.00093243085,0.47991663,0.0034274322,0.00040951883,0.020617623,0.00063578493,0.00014716298,0.0035175781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9475257,0.0421866,0.0027061063,0.002008041,0.0046879933,0.0008854878],"domain_scores_gemma":[0.86963266,0.089584656,0.007342109,0.009659433,0.020701973,0.0030792127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.076429926,0.00093680166,0.0016052283,0.0015766857,0.0020060656,0.0018583958,0.0029260572,0.0029968696,0.0023188894],"category_scores_gemma":[0.07702247,0.0022025304,0.0011623866,0.001414121,0.001861294,0.0024248923,0.0018451448,0.001561162,0.0009326409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013424878,0.0036336398,0.5369394,0.0025901028,0.0016100392,0.00069717824,0.0046987915,0.009032186,0.05441846,0.0056773643,0.008686049,0.35859194],"study_design_scores_gemma":[0.0051507377,0.025787968,0.783268,0.001191944,0.004117512,0.0040783416,0.006064753,0.06468582,0.05451103,0.009184981,0.04156684,0.00039210895],"about_ca_topic_score_codex":0.0070078294,"about_ca_topic_score_gemma":0.047611777,"teacher_disagreement_score":0.076429926,"about_ca_system_score_codex":0.0017151795,"about_ca_system_score_gemma":0.004144352,"threshold_uncertainty_score":0.4042049},"labels":[],"label_agreement":null},{"id":"W2046504069","doi":"10.1016/j.fishres.2013.01.014","title":"Size, distribution and catch rates of the oceanic whitetip shark caught by the Brazilian tuna longline fleet","year":2013,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Bycatch; Fishery; Catch per unit effort; Tuna; Fishing; Abundance (ecology); Carcharhinus; Oceanography; Geography; Yellowfin tuna; Scombridae; Skipjack tuna; Environmental science; Biology; Fish ; Geology","score_opus":0.01705726828049313,"score_gpt":0.27800565745267536,"score_spread":0.2609483891721822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046504069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99954456,0.00003209718,0.000011428198,0.000006908217,8.045225e-7,0.0000010275594,0.00013546293,8.1422485e-7,0.0002667641],"genre_scores_gemma":[0.99933237,0.000042381103,0.000019427778,0.000007905198,0.0000013401049,0.0000020719956,0.00021802913,0.0000015155777,0.00037502343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998903,0.000011718089,0.000012579326,0.000033397013,0.000019948771,0.000032010506],"domain_scores_gemma":[0.999321,0.00011698975,0.000268434,0.00004614803,0.00011637761,0.00013111043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023878472,0.00018189823,0.00013460971,0.0008324102,0.0002500265,0.00030448378,0.00023399811,0.0001960364,0.001512026],"category_scores_gemma":[0.0010697223,0.00018959878,0.0002760668,0.00045742778,0.00032016088,0.00037050297,0.0003530949,0.0001454509,0.00029626823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010220525,0.000012748436,0.996445,0.0000052477685,0.0000358558,0.00007144895,0.00026024063,0.000055959277,0.0010453414,0.000021583794,0.00007519896,0.0018691673],"study_design_scores_gemma":[0.0000013042666,0.000018768593,0.9995004,0.0000012555073,0.000007885315,0.000093371884,0.00019119406,0.00007030169,0.000043280193,0.0000049417094,0.00006555145,0.0000017910405],"about_ca_topic_score_codex":0.04670157,"about_ca_topic_score_gemma":0.07879251,"teacher_disagreement_score":0.04670157,"about_ca_system_score_codex":0.000427346,"about_ca_system_score_gemma":0.00016051659,"threshold_uncertainty_score":0.09285951},"labels":[],"label_agreement":null},{"id":"W2046840908","doi":"10.1016/j.fishres.2008.09.035","title":"Use of Bayesian hierarchical models to estimate northern abalone, Haliotis kamtschatkana, growth parameters from tag-recapture data","year":2008,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Abalone; Bayesian probability; Haliotis; Statistics; Mark and recapture; Population; Mathematics; Fishery; Biology; Demography","score_opus":0.16993190607720346,"score_gpt":0.3289928464568991,"score_spread":0.15906094037969562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046840908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78742564,0.00036014934,0.20951124,0.00019965334,0.00001752579,0.000053432577,0.00064525544,0.00047944338,0.0013075424],"genre_scores_gemma":[0.9298291,0.00011714066,0.0678765,0.000032579268,0.0000048526367,0.00008733168,0.0012592726,0.00007870552,0.0007143984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950385,0.00026407148,0.00003206919,0.000119622186,0.000051921008,0.000028455794],"domain_scores_gemma":[0.99635637,0.0028967261,0.00025304625,0.00016925427,0.00023771857,0.000087005224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031441166,0.00064428186,0.00037486656,0.0009668718,0.0005982758,0.00078704464,0.00094680913,0.0005810238,0.0007980243],"category_scores_gemma":[0.008083832,0.000858303,0.00052778196,0.0005110401,0.0003927613,0.00091820984,0.0007795298,0.0006934538,0.00023481187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004176649,0.0001474878,0.096397415,0.00012303056,0.0004436272,0.00007545457,0.00049257587,0.81035763,0.0051116017,0.003355736,0.00066036114,0.08241747],"study_design_scores_gemma":[0.00004707934,0.000041513314,0.031575818,0.00002007037,0.0000885869,0.000029250157,0.00007659439,0.9627599,0.0005278049,0.0044685383,0.00032699242,0.000037835413],"about_ca_topic_score_codex":0.044369727,"about_ca_topic_score_gemma":0.07246861,"teacher_disagreement_score":0.044369727,"about_ca_system_score_codex":0.0013677373,"about_ca_system_score_gemma":0.0015581575,"threshold_uncertainty_score":0.08822292},"labels":[],"label_agreement":null},{"id":"W2049721959","doi":"10.1016/j.fishres.2012.11.005","title":"Construction of biological reference points for management of the Dungeness crab, Cancer magister, fishery in the Fraser River Delta, British Columbia, Canada","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fishery; Geography; River delta; Delta; Fish ; West coast; Oceanography; Biology; Geology; Engineering","score_opus":0.07973487457514623,"score_gpt":0.3053040679712832,"score_spread":0.22556919339613696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049721959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89855045,0.004155174,0.022667037,0.0020684244,0.00021039037,0.0014291127,0.013335681,0.0003643445,0.057219427],"genre_scores_gemma":[0.9334605,0.001512849,0.045817327,0.000103730024,0.000016947419,0.00048687556,0.0067807427,0.00005877488,0.011762339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858713,0.00024376147,0.00013449609,0.00012729027,0.0005968544,0.00031041243],"domain_scores_gemma":[0.9926399,0.00027227073,0.0005367848,0.00018870705,0.0059324717,0.000429928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025184527,0.00043402208,0.00036590104,0.0072213574,0.0033131235,0.0018308111,0.0017826036,0.00046365891,0.0020518934],"category_scores_gemma":[0.006893306,0.00024501787,0.00022364293,0.0058897985,0.00079606974,0.0005341743,0.001376237,0.0005458156,0.00045514732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003195685,0.00015251526,0.5349513,0.0004006846,0.00006860111,0.00043776626,0.0052127866,0.022812529,0.0031035957,0.0056120986,0.028168915,0.39875957],"study_design_scores_gemma":[0.000031490614,0.00013622166,0.9194956,0.0005341731,0.00007317822,0.00009611155,0.012011997,0.019629376,0.0020468845,0.000757326,0.04512546,0.000062164814],"about_ca_topic_score_codex":0.975943,"about_ca_topic_score_gemma":0.99146104,"teacher_disagreement_score":0.027363049,"about_ca_system_score_codex":0.027363049,"about_ca_system_score_gemma":0.051623743,"threshold_uncertainty_score":0.19853371},"labels":[],"label_agreement":null},{"id":"W2050116330","doi":"10.1016/j.fishres.2007.11.029","title":"Movement of adult male snow crab, Chionoecetes opilio, in the southern Gulf of St. Lawrence and eastern Nova Scotia, Canada","year":2008,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Nova scotia; Oceanography; Snow; Fishery; Geography; Geology; Biology; Meteorology","score_opus":0.03607236326597119,"score_gpt":0.26042783414567583,"score_spread":0.22435547087970464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050116330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984262,0.000091557136,0.000017860002,0.000033733322,0.0000037413008,0.0000066754887,0.0004810626,0.0000024714368,0.0009367076],"genre_scores_gemma":[0.9974953,0.000104156155,0.00006845341,0.00003257572,0.0000015384239,0.0000064236488,0.00035599174,0.0000015329684,0.0019341216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989045,0.0000090127705,0.000006966111,0.000022650845,0.00003113404,0.000039799103],"domain_scores_gemma":[0.9994873,0.00003185809,0.00009182977,0.000009778561,0.00023463691,0.00014462318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014526713,0.00014529316,0.00018571861,0.0006421473,0.0010706609,0.00038657716,0.00034926325,0.00021821458,0.0012623173],"category_scores_gemma":[0.0005221546,0.0001494979,0.00013149818,0.0005746257,0.00042248028,0.00014735517,0.00047295785,0.00019665367,0.0002465091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010981998,0.000017099606,0.9918724,0.000031332856,0.000029581674,0.0001562325,0.0014309199,0.0002163054,0.0012709459,0.000032436234,0.0007796026,0.004053304],"study_design_scores_gemma":[0.0000020636378,0.000010304117,0.9988586,0.000006341925,0.000003600696,0.00002035378,0.00075478613,0.00006565302,0.000030538242,0.0000022421368,0.00024370059,0.0000018246882],"about_ca_topic_score_codex":0.9700098,"about_ca_topic_score_gemma":0.9953263,"teacher_disagreement_score":0.029990196,"about_ca_system_score_codex":0.0049900454,"about_ca_system_score_gemma":0.003959657,"threshold_uncertainty_score":0.06033355},"labels":[],"label_agreement":null},{"id":"W2052196823","doi":"10.1016/j.fishres.2005.02.005","title":"Spatial and temporal migration of wild Atlantic salmon smolts determined from a video camera array in the sub-Arctic River Tana","year":2005,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Norges Forskningsråd","keywords":"Salmo; Water column; Tributary; Smoltification; Environmental science; Oceanography; Arctic; Fishery; The arctic; Hydrology (agriculture); Salmonidae; Geology; Geography; Fish ; Biology; Cartography","score_opus":0.02375476031993211,"score_gpt":0.26411889581958625,"score_spread":0.24036413549965413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052196823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99964774,0.000011363169,0.000048951606,0.0000026940438,0.0000013950774,0.0000010944556,0.00007789073,0.0000018499195,0.00020697697],"genre_scores_gemma":[0.9990044,0.000025270732,0.0002474817,0.000003897296,0.0000015914426,0.000004687231,0.00021050463,0.0000013119932,0.0005009507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999349,0.000005791896,0.000004425686,0.000024399797,0.000014249863,0.000016163589],"domain_scores_gemma":[0.9998325,0.000017792407,0.000036348538,0.000005853079,0.000068601774,0.000038811006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011378521,0.00011694175,0.00015445348,0.0006298042,0.00029515207,0.00023404899,0.00014274062,0.00011920497,0.0004332774],"category_scores_gemma":[0.00023355435,0.00014324552,0.00010198359,0.00038873832,0.00014380692,0.0001580626,0.00021701572,0.000108381944,0.000105421626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032758707,0.000045509703,0.958639,0.0000146366,0.00003593456,0.00011485173,0.0007609382,0.00036689642,0.028981114,0.000040656636,0.00017468595,0.010498178],"study_design_scores_gemma":[0.0000023669477,0.000049873128,0.99819034,0.0000017584966,0.000012079972,0.00003555862,0.0003598392,0.0007082772,0.0005073542,0.0000048884967,0.00012488758,0.0000027356655],"about_ca_topic_score_codex":0.07521517,"about_ca_topic_score_gemma":0.21253076,"teacher_disagreement_score":0.07521517,"about_ca_system_score_codex":0.00031292086,"about_ca_system_score_gemma":0.0003696453,"threshold_uncertainty_score":0.14955473},"labels":[],"label_agreement":null},{"id":"W2053271980","doi":"10.1016/j.fishres.2009.04.011","title":"Fecundity estimation of Atlantic cod (Gadus morhua) and haddock (Melanogrammus aeglefinus) of Georges Bank: Application of the autodiametric method","year":2009,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Haddock; Gadus; Fecundity; Atlantic cod; Fishery; Gadidae; Biology; Oceanography; Population; Fish ; Geology; Demography","score_opus":0.028698236364759867,"score_gpt":0.3271667269652633,"score_spread":0.2984684906005034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053271980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988373,0.00006731684,0.0005396666,0.000006124708,0.0000024296648,0.0000035630853,0.00015689177,0.000008626036,0.00037819173],"genre_scores_gemma":[0.99664235,0.000049390936,0.0025650074,0.0000058150285,0.0000021836363,0.0000070462365,0.0002919246,0.0000041389676,0.0004322535],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999062,0.000018241379,0.000007625023,0.00003539851,0.000022831948,0.000009651718],"domain_scores_gemma":[0.99966764,0.00010318942,0.00007308828,0.00002296638,0.00009400613,0.000039180406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003303618,0.00016323791,0.00015223307,0.0010150955,0.00025148032,0.00016840866,0.00018346103,0.00014035279,0.00034031997],"category_scores_gemma":[0.0005355579,0.00017780565,0.00016060553,0.00036981166,0.0001480008,0.00014557314,0.00020522163,0.00012266896,0.00008899746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014872955,0.000025219832,0.94061553,0.000033015713,0.000058831338,0.000118780816,0.00028747797,0.0016120487,0.032970846,0.00012432426,0.00025614994,0.023749096],"study_design_scores_gemma":[0.000006075898,0.00004034105,0.99341303,0.000003405216,0.000016023254,0.00013193594,0.00008481403,0.004120357,0.0019413886,0.000027874703,0.00020746105,0.000007376178],"about_ca_topic_score_codex":0.024926232,"about_ca_topic_score_gemma":0.07014615,"teacher_disagreement_score":0.024926232,"about_ca_system_score_codex":0.0004824292,"about_ca_system_score_gemma":0.00032911098,"threshold_uncertainty_score":0.049562335},"labels":[],"label_agreement":null},{"id":"W2053647311","doi":"10.1016/j.fishres.2005.03.011","title":"Largemouth bass catch rates and injury associated with non-offset and offset circle hook configurations","year":2005,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of Illinois at Urbana-Champaign; U.S. Fish and Wildlife Service","keywords":"Hook; Offset (computer science); Fishery; Anatomy; Biology; Computer science; Engineering; Structural engineering","score_opus":0.022523393955115996,"score_gpt":0.2883454224214459,"score_spread":0.2658220284663299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053647311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99984765,0.000011672395,0.000014954714,0.0000024574567,6.227614e-7,9.1520525e-7,0.000029146488,9.740266e-7,0.00009168556],"genre_scores_gemma":[0.99966776,0.000014883493,0.000025547653,0.00000278709,0.0000016894255,0.0000015166647,0.000080227546,9.175591e-7,0.00020465147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997099,0.000051679846,0.000039696668,0.000060494644,0.00004613025,0.0000920707],"domain_scores_gemma":[0.9971097,0.00075284013,0.0012525015,0.00014371664,0.00019635946,0.0005448778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003318438,0.00029192813,0.00023681964,0.0007533561,0.00021771064,0.00043343497,0.00021526423,0.00035808195,0.003728614],"category_scores_gemma":[0.0025771728,0.00023811655,0.0004151974,0.0004112598,0.0003884305,0.00046853456,0.0005448792,0.00040063512,0.0002990664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022020396,0.000118274475,0.99422497,0.000006710284,0.000043368487,0.0001370606,0.000051096667,0.00012335813,0.0014881215,0.000014751923,0.000031509717,0.0015587192],"study_design_scores_gemma":[0.000004483999,0.00023208569,0.9991874,0.0000010047341,0.000012124117,0.00016675712,0.00008932456,0.00014621862,0.00013862646,0.000010957386,0.000009210893,0.0000018007183],"about_ca_topic_score_codex":0.003165213,"about_ca_topic_score_gemma":0.007540198,"teacher_disagreement_score":0.003728614,"about_ca_system_score_codex":0.00026359168,"about_ca_system_score_gemma":0.00012866498,"threshold_uncertainty_score":0.012473524},"labels":[],"label_agreement":null},{"id":"W2054507115","doi":"10.1016/j.fishres.2003.09.016","title":"Is size at sex transition an indicator of growth or abundance in pandalid shrimp?","year":2003,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Abundance (ecology); Fecundity; Growth rate; Population; Biology; Relative species abundance; Sex ratio; Animal science; Ecology; Demography; Mathematics","score_opus":0.05945943390748189,"score_gpt":0.33174779645569974,"score_spread":0.27228836254821787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054507115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990031,0.00021159099,0.00012142957,0.0000840855,0.00001626249,0.0000025764928,0.00011828229,0.0000057218713,0.00043697722],"genre_scores_gemma":[0.9994467,0.00007851534,0.00014149916,0.00004702228,0.000023509672,0.000003925358,0.00010058309,0.000002095582,0.00015617782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995752,0.00016086809,0.00005169659,0.00008474242,0.00006699504,0.00006055887],"domain_scores_gemma":[0.9957053,0.0014973648,0.0018472124,0.00021950484,0.00031554545,0.00041519874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014271268,0.00037690945,0.00038348223,0.00090504414,0.00034610395,0.00063391216,0.00054627546,0.00079224765,0.0013968672],"category_scores_gemma":[0.005720306,0.00031086174,0.0004345545,0.0008005678,0.00082577317,0.0009774091,0.00050996547,0.00087572966,0.00033772548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010036966,0.000015547063,0.9973126,0.0000056533554,0.000022336138,0.000018350265,0.000038007627,0.000023956643,0.00058590405,0.000010543261,0.00003346905,0.0018331412],"study_design_scores_gemma":[0.0000027644087,0.00017811723,0.9990158,0.000004073817,0.000019314877,0.00013530145,0.00014590366,0.00018096651,0.00021293052,0.00003679746,0.000064856096,0.00000316322],"about_ca_topic_score_codex":0.0027432903,"about_ca_topic_score_gemma":0.0045656324,"teacher_disagreement_score":0.0027432903,"about_ca_system_score_codex":0.0001723121,"about_ca_system_score_gemma":0.00021346316,"threshold_uncertainty_score":0.0075474977},"labels":[],"label_agreement":null},{"id":"W2059661065","doi":"10.1016/s0165-7836(02)00027-9","title":"Density-versus temperature-dependent growth of Atlantic cod (Gadus morhua) in the Gulf of St. Lawrence and on the Scotian Shelf","year":2002,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Gadus; Atlantic cod; Stock (firearms); Oceanography; Environmental science; Fishery; Geology; Geography; Biology","score_opus":0.05571533082298433,"score_gpt":0.27977522118946735,"score_spread":0.22405989036648302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059661065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99960405,0.00002925589,0.000009572774,0.000010301495,0.000001313512,5.151558e-7,0.00016937671,0.0000010435265,0.0001745393],"genre_scores_gemma":[0.999345,0.00002608374,0.000016582744,0.000010324907,9.52063e-7,0.0000014221702,0.0002593107,0.0000013437128,0.000338987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999416,0.000007878068,0.0000041554417,0.0000150881915,0.000012813832,0.000018540995],"domain_scores_gemma":[0.99938285,0.0001134639,0.00014728564,0.000030616284,0.00018624616,0.00013962689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012417491,0.00010783362,0.000113769915,0.00032097843,0.00021861216,0.0002891063,0.00019373118,0.0001763541,0.0008469913],"category_scores_gemma":[0.000602031,0.00015804332,0.00015650931,0.00020994912,0.000341723,0.00016003549,0.0002602693,0.00020391964,0.00017958996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044821642,0.000020768479,0.9827047,0.000015896008,0.000043224343,0.00009215434,0.0002923042,0.00053170265,0.013598018,0.00005129377,0.00033995125,0.0018618422],"study_design_scores_gemma":[0.0000013101918,0.000008102574,0.99961746,0.0000010569092,0.0000030328888,0.000015319689,0.00007073255,0.00013627556,0.000106272804,0.0000042744905,0.00003478334,0.0000012824021],"about_ca_topic_score_codex":0.31182423,"about_ca_topic_score_gemma":0.5885556,"teacher_disagreement_score":0.6881758,"about_ca_system_score_codex":0.0012727566,"about_ca_system_score_gemma":0.00055275596,"threshold_uncertainty_score":0.6200184},"labels":[],"label_agreement":null},{"id":"W2061081968","doi":"10.1016/j.fishres.2012.05.013","title":"Acoustic markers of Atlantic cod (Gadus morhua) spawning in coastal Newfoundland","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Department of Fisheries and Aquaculture, Government of Newfoundland and Labrador","keywords":"Gadus; Atlantic cod; Pelagic zone; Fishery; Sound (geography); Water column; Oceanography; Ichthyoplankton; Gadidae; Environmental science; Abundance (ecology); Fish ; Biology; Geology","score_opus":0.04926216434973717,"score_gpt":0.3113848761683489,"score_spread":0.26212271181861174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061081968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995271,0.00003244413,0.000020963773,0.000021236716,0.0000020375903,0.0000013319305,0.00009595321,0.0000010742866,0.000297833],"genre_scores_gemma":[0.99912924,0.000046946192,0.00008986645,0.000023674205,0.0000021219669,0.00000526682,0.00016852868,0.0000017500109,0.0005326109],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983704,0.0000201897,0.000010080721,0.000040478393,0.000024643528,0.00006748242],"domain_scores_gemma":[0.9987392,0.00017326846,0.0004173594,0.000058814494,0.00031951204,0.00029189588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023723075,0.00013664659,0.00020824574,0.00071217003,0.00076729094,0.0005983678,0.00037563549,0.00025483387,0.0008370852],"category_scores_gemma":[0.0010059879,0.00024943627,0.00011936058,0.0007450816,0.0006863199,0.00034529797,0.0007359308,0.00034760204,0.00014233762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112436916,0.0000229353,0.9935545,0.00000676464,0.000027058792,0.000064178785,0.0006876465,0.00010671446,0.0028532166,0.000022383718,0.00018954188,0.0023526382],"study_design_scores_gemma":[8.98411e-7,0.0000057694306,0.9995192,0.0000016792532,0.0000034354944,0.0000102998265,0.00034934917,0.00002072315,0.000032923097,0.0000016516459,0.000053002004,0.000001036705],"about_ca_topic_score_codex":0.6744924,"about_ca_topic_score_gemma":0.9123201,"teacher_disagreement_score":0.32550758,"about_ca_system_score_codex":0.0024068947,"about_ca_system_score_gemma":0.0014000016,"threshold_uncertainty_score":0.6548491},"labels":[],"label_agreement":null},{"id":"W2062157408","doi":"10.1016/s0165-7836(03)00073-0","title":"An exact time of release and recapture stock assessment model with an application to Macquarie Island Patagonian toothfish (Dissostichus eleginoides)","year":2003,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Fisheries Research and Development Corporation","keywords":"Fishing; Mark and recapture; Fishery; Fish stock; Stock assessment; Population; Geography; Stock (firearms); Population model; Commercial fishing; Environmental science; Abundance (ecology); Ecology; Biology; Statistics; Mathematics; Demography","score_opus":0.017763170427095396,"score_gpt":0.2970877717673694,"score_spread":0.279324601340274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062157408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2509309,0.00056380406,0.73863596,0.00083977927,0.00015117871,0.00019452002,0.0011650271,0.0011615503,0.006357297],"genre_scores_gemma":[0.92283183,0.00020704867,0.06692884,0.00013330053,0.000049293314,0.00019886663,0.00044390454,0.00008392066,0.00912301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996444,0.00009934553,0.000021869027,0.000120493314,0.000057140976,0.000056601595],"domain_scores_gemma":[0.99853873,0.0008318715,0.0001659379,0.00006535168,0.0003120107,0.00008612333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002287884,0.0007061101,0.0011002152,0.00063401397,0.0006922487,0.00094300095,0.0019577325,0.0013372252,0.0034283234],"category_scores_gemma":[0.0032738335,0.00080097653,0.0007563625,0.0005386986,0.00046788141,0.0011402805,0.0007818696,0.0006979327,0.00039487836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003884679,0.000019422534,0.0019239445,0.000009913259,0.00002325189,0.00006428287,0.000021370739,0.98752683,0.00020237973,0.0016259993,0.00036617237,0.008177614],"study_design_scores_gemma":[0.000006223264,0.0000113225215,0.0003147991,0.0000017827365,0.000012142798,0.00001188554,0.000004790272,0.9990821,0.000040585306,0.00043086908,0.00007925828,0.0000042194456],"about_ca_topic_score_codex":0.06801513,"about_ca_topic_score_gemma":0.05343732,"teacher_disagreement_score":0.06801513,"about_ca_system_score_codex":0.0015147474,"about_ca_system_score_gemma":0.00209708,"threshold_uncertainty_score":0.13523847},"labels":[],"label_agreement":null},{"id":"W2062684760","doi":"10.1016/j.fishres.2009.11.003","title":"Application of game theory to fisheries over three decades","year":2009,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":150,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; World Wildlife Fund","keywords":"Game theory; Fisheries management; Externality; Fish stock; Context (archaeology); Fishery; Cooperative game theory; Fish ; Stock (firearms); Computer science; Economics; Geography; Microeconomics; Fishing","score_opus":0.03784689874695939,"score_gpt":0.3316659954606412,"score_spread":0.2938190967136818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062684760","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12947531,0.32348228,0.13004664,0.08519705,0.004424877,0.00025131207,0.00055556576,0.00014488254,0.32642207],"genre_scores_gemma":[0.7012164,0.19737968,0.049095456,0.006701944,0.0018723548,0.0001934889,0.00025710257,0.00011157025,0.043171976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787605,0.0008063016,0.00015793095,0.00038359343,0.0005953139,0.00018081194],"domain_scores_gemma":[0.991994,0.0057716276,0.00029996413,0.00037855734,0.0013139597,0.00024186057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058144247,0.00089965813,0.0009881624,0.0034593116,0.0013764631,0.004095496,0.0015139038,0.0024279973,0.0053292196],"category_scores_gemma":[0.015960163,0.0005056816,0.00097113044,0.003912803,0.0041997465,0.005452997,0.0028839824,0.0027449527,0.0005197728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001255146,0.00016996251,0.004628654,0.00095725496,0.00013871434,0.00022533949,0.001438628,0.016899472,0.00042783702,0.75407916,0.006988925,0.21392052],"study_design_scores_gemma":[0.000037632104,0.00012890699,0.0071114567,0.0019317709,0.000099162324,0.0003537194,0.0028119902,0.025441106,0.0011091857,0.6758017,0.28509519,0.0000781355],"about_ca_topic_score_codex":0.016728366,"about_ca_topic_score_gemma":0.013814301,"teacher_disagreement_score":0.016728366,"about_ca_system_score_codex":0.007384036,"about_ca_system_score_gemma":0.004904626,"threshold_uncertainty_score":0.053575158},"labels":[],"label_agreement":null},{"id":"W2063800573","doi":"10.1016/s0165-7836(01)00333-2","title":"Application of a stochastic spawning stock biomass per recruit model for the horse clam fishery in British Columbia","year":2002,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishery; Fishing; Stock (firearms); Stock assessment; Marine fisheries; Environmental science; Viet nam; Geography; Biology; Economics","score_opus":0.09783526673503301,"score_gpt":0.3110910326009176,"score_spread":0.21325576586588457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063800573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97561747,0.00028163195,0.017681865,0.0010382634,0.00005942017,0.000051742252,0.00079193356,0.00019900179,0.004278618],"genre_scores_gemma":[0.99202067,0.0001595946,0.0029958538,0.00009009376,0.00002188147,0.000031667532,0.00037649134,0.000052026633,0.0042517507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995561,0.00014224205,0.000027406355,0.000103978215,0.000043487835,0.00012679002],"domain_scores_gemma":[0.9980128,0.0009970542,0.0002462193,0.000100983845,0.00046025534,0.00018259637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018709298,0.0007394612,0.0013790361,0.00073117024,0.0017211508,0.0015873663,0.0027673088,0.0018793672,0.0030376648],"category_scores_gemma":[0.0063700713,0.001084405,0.00070394465,0.0009982493,0.0010124486,0.0009412199,0.0009920582,0.0012574417,0.0002711828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043296524,0.000025436235,0.004663326,0.000012088647,0.000034669407,0.00006124438,0.00004071585,0.9910561,0.00014733282,0.0016638886,0.0005142058,0.0017377408],"study_design_scores_gemma":[0.000014826821,0.0000063083617,0.0013365328,0.0000026232265,0.000010164633,0.0000052738656,0.000023859762,0.99804235,0.000023445673,0.00041781325,0.000107523614,0.000009324995],"about_ca_topic_score_codex":0.8475366,"about_ca_topic_score_gemma":0.7453799,"teacher_disagreement_score":0.8475366,"about_ca_system_score_codex":0.007629491,"about_ca_system_score_gemma":0.008035369,"threshold_uncertainty_score":0.30672246},"labels":[],"label_agreement":null},{"id":"W2069317791","doi":"10.1016/j.fishres.2009.03.005","title":"Management of declining Japanese sardine, chub mackerel and walleye pollock fisheries in Japan","year":2009,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Fisheries Agency","keywords":"Sardine; Fishery; Pollock; Stock (firearms); Stock assessment; Fisheries management; Bay; Mackerel; Halibut; Environmental science; Geography; Fishing; Fish ; Biology","score_opus":0.04467201534678794,"score_gpt":0.3217392691302296,"score_spread":0.27706725378344166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069317791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995185,0.00013546924,0.000019739504,0.00006334697,0.0000033038646,0.0000029316016,0.000021009266,0.0000010148469,0.00023462008],"genre_scores_gemma":[0.99901974,0.00020649275,0.00011444993,0.00006686796,0.0000046369287,0.00000853476,0.00009035767,0.0000011899865,0.00048772185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968183,0.000039570292,0.00005277375,0.00007133278,0.00004888386,0.00010563123],"domain_scores_gemma":[0.9989894,0.000040067654,0.0003175932,0.000024499805,0.00025719256,0.00037117922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074550306,0.0003314344,0.00037604538,0.0013991304,0.0012678854,0.0007538182,0.0007414293,0.00047556413,0.0005467448],"category_scores_gemma":[0.0009210733,0.00024988805,0.0002944351,0.00088490563,0.0008838014,0.0005996979,0.0006393166,0.0002519822,0.00008234947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011512633,0.00004299619,0.98992926,0.000037455586,0.000036027453,0.00040336465,0.0016875031,0.00016304276,0.0016006483,0.00006120654,0.000286713,0.0056365635],"study_design_scores_gemma":[0.000008534989,0.00007679806,0.9952427,0.000011839955,0.000042586682,0.00010986366,0.0035864473,0.00027736207,0.00008848848,0.000021283464,0.0005285784,0.000005593332],"about_ca_topic_score_codex":0.20935683,"about_ca_topic_score_gemma":0.48198956,"teacher_disagreement_score":0.20935683,"about_ca_system_score_codex":0.0027914417,"about_ca_system_score_gemma":0.0031589274,"threshold_uncertainty_score":0.4162765},"labels":[],"label_agreement":null},{"id":"W2070231189","doi":"10.1016/s0165-7836(99)00096-x","title":"Response of individual shoaling Atlantic cod to ocean currents on the northeast Newfoundland Shelf","year":2000,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Shoaling and schooling; Oceanography; Fishery; Gulf Stream; Geology; Environmental science; Biology","score_opus":0.054320827580851196,"score_gpt":0.3079799059737579,"score_spread":0.2536590783929067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070231189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997111,0.000008231906,0.000006982971,0.000011498543,0.0000011415597,0.0000010597355,0.00006934483,7.741177e-7,0.000189803],"genre_scores_gemma":[0.9990829,0.000016356697,0.000025344329,0.000018629053,0.0000015337883,0.0000029479293,0.00016212878,0.0000016302166,0.000688504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998634,0.000020938012,0.000009432922,0.000035428806,0.00001939281,0.000051346276],"domain_scores_gemma":[0.9990268,0.00018430632,0.000199001,0.000055128414,0.00021445766,0.00032035046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022643372,0.00012471578,0.0002864619,0.00042114008,0.0006564595,0.0007120693,0.00028497103,0.00040765142,0.0021836273],"category_scores_gemma":[0.001242512,0.00024012284,0.00023325658,0.00037427252,0.0005285633,0.0003155166,0.0006631583,0.00035841292,0.00029365715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021868866,0.00003540946,0.99437755,0.0000061558057,0.000061402716,0.0000667228,0.0006008836,0.00025707512,0.0022368808,0.000017969316,0.00019326685,0.0019281013],"study_design_scores_gemma":[8.112503e-7,0.000008612214,0.99966204,6.9838836e-7,0.0000029537844,0.000007239399,0.00019740144,0.000059772,0.00002204594,0.0000024491258,0.000034928627,0.0000010370964],"about_ca_topic_score_codex":0.32185078,"about_ca_topic_score_gemma":0.6631183,"teacher_disagreement_score":0.32185078,"about_ca_system_score_codex":0.00143378,"about_ca_system_score_gemma":0.00072038104,"threshold_uncertainty_score":0.6399548},"labels":[],"label_agreement":null},{"id":"W2070526895","doi":"10.1016/j.fishres.2007.11.018","title":"The prevalence, density and impact of Lepeophtheirus salmonis (Krøyer) infestation on juvenile pink salmon (Oncorhynchus gorbuscha) from the central coast of British Columbia, Canada","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; BC Centre for Aquatic Health Sciences","funders":"British Columbia Innovation Council","keywords":"Lepeophtheirus; Oncorhynchus; Juvenile; Infestation; Fishery; Biology; Channel (broadcasting); Ecology; Fish ; Aquaculture","score_opus":0.022482710880572146,"score_gpt":0.32235141109433485,"score_spread":0.2998687002137627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070526895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848795,0.00010021949,0.000011655433,0.000025117699,0.000002205139,0.0000052093565,0.00068090786,0.0000021067526,0.0006846591],"genre_scores_gemma":[0.9982785,0.00014786515,0.00003255774,0.00001929442,0.0000013848133,0.0000040737655,0.0005857839,0.0000013820519,0.0009290085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996481,0.000033217544,0.000025000756,0.00004593828,0.00013084528,0.00011681741],"domain_scores_gemma":[0.9986072,0.00011622032,0.00022156267,0.00003183714,0.00065304106,0.0003701032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026880787,0.00024182578,0.00023483382,0.0013136169,0.0013254781,0.0006396948,0.0005157595,0.0003178074,0.0014840821],"category_scores_gemma":[0.0008350282,0.0002879438,0.00024420163,0.0015994628,0.00072255573,0.00029428187,0.0004726654,0.0004019703,0.0002527794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097454125,0.000024021658,0.9960502,0.000019232451,0.00004714664,0.00010725855,0.0005898768,0.00006839546,0.00095429306,0.000016131286,0.00037564838,0.0016503044],"study_design_scores_gemma":[0.0000011126009,0.000008529033,0.99926096,0.0000032591506,0.000006526907,0.000024108127,0.0005221202,0.000025112991,0.000034416742,0.0000019087372,0.00010972932,0.0000022019417],"about_ca_topic_score_codex":0.9715816,"about_ca_topic_score_gemma":0.992993,"teacher_disagreement_score":0.028418422,"about_ca_system_score_codex":0.005883481,"about_ca_system_score_gemma":0.0042621326,"threshold_uncertainty_score":0.057171524},"labels":[],"label_agreement":null},{"id":"W2072738066","doi":"10.1016/j.fishres.2008.03.010","title":"Response to “Comment on Butterworth, Cubitt and McKinley (2008)” by Morton and Routledge [Fish. Res. (2008)]","year":2008,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Centre for Aquatic Health Sciences","funders":"","keywords":"Fish ; Fishery; Biology","score_opus":0.052752180519620204,"score_gpt":0.3678396022189709,"score_spread":0.31508742169935067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072738066","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002130689,0.0013232297,0.000086850654,0.95249987,0.042520545,0.000031862175,0.0003733573,0.00008397663,0.0028671992],"genre_scores_gemma":[0.0011057903,0.0006727623,0.00008115562,0.97434604,0.010807595,0.000077322264,0.00008699125,0.000050173352,0.012772095],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741435,0.0004519065,0.0003332345,0.000368701,0.0010048752,0.00042695584],"domain_scores_gemma":[0.99081856,0.003916022,0.0008790324,0.00027339716,0.0031631,0.0009499251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003680559,0.0013854865,0.0017083472,0.0013423548,0.0055091516,0.003138405,0.0039468124,0.036593582,0.031247057],"category_scores_gemma":[0.026936304,0.0010379674,0.0012647405,0.0019046521,0.003537651,0.0049671023,0.0033679903,0.033023775,0.025964467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013826337,0.0000026918904,0.00004716827,0.00003049228,0.0000023287573,0.000048557813,0.00008234055,0.000007426157,0.000029087836,0.00022034612,0.99872774,0.00078799337],"study_design_scores_gemma":[0.000025601561,0.000025414807,0.0020798557,0.00028496602,0.000017351917,0.00016573517,0.0010864033,0.00007349384,0.00020145217,0.0009611034,0.99503016,0.00004849777],"about_ca_topic_score_codex":0.056154426,"about_ca_topic_score_gemma":0.061151285,"teacher_disagreement_score":0.056154426,"about_ca_system_score_codex":0.006229428,"about_ca_system_score_gemma":0.0073830294,"threshold_uncertainty_score":0.111655176},"labels":[],"label_agreement":null},{"id":"W2074708760","doi":"10.1016/j.fishres.2011.05.009","title":"Using production models with new and developing fisheries: A case study using the sea cucumber Parastichopus californicus in British Columbia, Canada","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Productivity; Fishing; Range (aeronautics); Fishery; Abundance (ecology); Environmental science; Estimation; Production (economics); Fisheries management; Ecology; Geography; Biology; Economics; Engineering","score_opus":0.16697356050060003,"score_gpt":0.3096405608689603,"score_spread":0.14266700036836027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074708760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99087125,0.0002770087,0.003027907,0.00031696263,0.00001119318,0.00006819587,0.00046293167,0.00004670524,0.0049178028],"genre_scores_gemma":[0.9929726,0.0002530771,0.004801676,0.000023787263,0.0000042529573,0.000026112219,0.00033012356,0.000015344685,0.0015730417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992662,0.00037592868,0.000038436327,0.00010309291,0.00008709571,0.00012917277],"domain_scores_gemma":[0.99592304,0.0030686283,0.00021565423,0.00017690458,0.00046285152,0.00015290496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021710538,0.00096424203,0.0004197667,0.0007570418,0.0016222332,0.0025692803,0.0016137648,0.0010368124,0.0014649566],"category_scores_gemma":[0.0059598708,0.0005632473,0.00055211433,0.0018678032,0.0012180135,0.001113628,0.0008572277,0.0008731738,0.00011860551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028090767,0.00030187768,0.086954325,0.00015453732,0.00019539615,0.001858677,0.0012936976,0.88381934,0.0007073949,0.0034600035,0.0015231573,0.019450791],"study_design_scores_gemma":[0.00010688207,0.00014024592,0.039902575,0.00008775946,0.00017580448,0.00017040902,0.003982703,0.94876146,0.00077844993,0.0022326384,0.0035689452,0.00009212897],"about_ca_topic_score_codex":0.92683107,"about_ca_topic_score_gemma":0.95310146,"teacher_disagreement_score":0.07316893,"about_ca_system_score_codex":0.015009812,"about_ca_system_score_gemma":0.0069801267,"threshold_uncertainty_score":0.14719963},"labels":[],"label_agreement":null},{"id":"W2076100847","doi":"10.1016/j.fishres.2008.10.010","title":"When trash fish is treasure: The case of Ghana in West Africa","year":2008,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Treasure; Fish ; Fishery; Fish stock; Business; Geography; Biology; Archaeology","score_opus":0.1110629893733628,"score_gpt":0.2755168083486557,"score_spread":0.16445381897529293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076100847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9162117,0.0019685877,0.00040495952,0.045038376,0.00014004706,0.000062996725,0.00005685405,0.000006545636,0.036110006],"genre_scores_gemma":[0.9917747,0.0013108132,0.00026059995,0.002014064,0.000032808402,0.000020184123,0.000009378722,0.000008212816,0.004569229],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9985207,0.00046793176,0.00002668246,0.000063185005,0.000055905457,0.0008655995],"domain_scores_gemma":[0.99593323,0.0017969835,0.0005781087,0.00008005859,0.00020900005,0.0014026837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020605735,0.00036973186,0.0004639496,0.0008948594,0.017465144,0.0048716436,0.0015819413,0.007349882,0.009848973],"category_scores_gemma":[0.005646472,0.00048965705,0.00025192022,0.002185355,0.009907493,0.004897373,0.0038348106,0.0064118514,0.0003498199],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004665953,0.0003148604,0.045487586,0.0006740576,0.00007545703,0.2605125,0.47258827,0.0010471413,0.0035498445,0.1626209,0.017250536,0.035412256],"study_design_scores_gemma":[0.00004020931,0.00007840472,0.015186504,0.00066945,0.00003737458,0.0072005163,0.92026,0.00027257114,0.0003821278,0.009821241,0.046018697,0.00003287038],"about_ca_topic_score_codex":0.1324179,"about_ca_topic_score_gemma":0.322498,"teacher_disagreement_score":0.1324179,"about_ca_system_score_codex":0.009818918,"about_ca_system_score_gemma":0.009531651,"threshold_uncertainty_score":0.26329434},"labels":[],"label_agreement":null},{"id":"W2076271109","doi":"10.1016/j.fishres.2007.10.002","title":"Optimizing sampling effort within a systematic design for estimating abundant escapement of sockeye salmon (Oncorhynchus nerka) in their natal river","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Escapement; Sampling (signal processing); Oncorhynchus; Environmental science; Upstream (networking); Sampling design; Statistics; Fishery; Fish ; Mathematics; Biology; Computer science","score_opus":0.08628723521348461,"score_gpt":0.3313595275002273,"score_spread":0.24507229228674268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076271109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92160296,0.000099438934,0.07591382,0.000026053274,0.000018801655,0.001749185,0.000059276823,0.00009161434,0.0004387711],"genre_scores_gemma":[0.8105382,0.000058182097,0.18447237,0.00006430549,0.000015526113,0.004315527,0.00013548376,0.000018722745,0.0003816289],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9884477,0.008271318,0.00092508516,0.0012908733,0.0006768277,0.0003881083],"domain_scores_gemma":[0.97979546,0.010632413,0.0032199852,0.00257544,0.0032236674,0.0005529844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015188386,0.0006605948,0.00066380267,0.00071356783,0.0008014789,0.00043347178,0.00072307786,0.00071116193,0.00036977656],"category_scores_gemma":[0.023134233,0.0008428515,0.0006086827,0.00052863685,0.00059690676,0.00050975865,0.0008676697,0.00031019739,0.00010982126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0136022195,0.0061686616,0.65690976,0.00048601584,0.0011852062,0.0000984275,0.0020313512,0.02641701,0.084673755,0.0009405108,0.0005898603,0.20689723],"study_design_scores_gemma":[0.001666881,0.03057876,0.84095615,0.00009448308,0.0013583348,0.0001970844,0.0005390992,0.07924257,0.042097453,0.0007976744,0.0023719869,0.00009947741],"about_ca_topic_score_codex":0.0045846845,"about_ca_topic_score_gemma":0.016439391,"teacher_disagreement_score":0.015188386,"about_ca_system_score_codex":0.00071040867,"about_ca_system_score_gemma":0.0020915014,"threshold_uncertainty_score":0.08032477},"labels":[],"label_agreement":null},{"id":"W2079215292","doi":"10.1016/j.fishres.2012.07.002","title":"Linking size and age at sexual maturation to body growth, productivity and recruitment of Atlantic cod stocks spanning the North Atlantic","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"European Cooperation in Science and Technology","keywords":"Sexual maturity; Fishery; Productivity; Atlantic cod; Biology; Oceanography; Ecology; Economics; Geology; Fish ","score_opus":0.08544981601960165,"score_gpt":0.3211438789611611,"score_spread":0.23569406294155942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079215292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99977976,0.000037515805,0.000020004727,0.000016010834,0.0000011848673,6.4354106e-7,0.000045449357,4.3177167e-7,0.00009907361],"genre_scores_gemma":[0.9996076,0.00003031438,0.000028571958,0.000013894907,0.0000016978568,0.0000015772276,0.00010847232,8.4435953e-7,0.00020708496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976355,0.00005541812,0.00002386975,0.00006789957,0.000038833838,0.000050458006],"domain_scores_gemma":[0.99748564,0.0008421941,0.0007391741,0.00019250334,0.0003224292,0.000417985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088606495,0.00014171169,0.00018029546,0.0004935024,0.00036165246,0.00048260007,0.0004047696,0.00042163098,0.0009982222],"category_scores_gemma":[0.0035540455,0.00024831507,0.000316749,0.00038586877,0.00043169488,0.0004065981,0.0005021928,0.00038386567,0.00013870647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051989773,0.0000147757955,0.99823195,0.0000021350593,0.000047783993,0.000025857971,0.000118488475,0.00006781625,0.0005455043,0.0000120105515,0.000020606947,0.0008610677],"study_design_scores_gemma":[9.565988e-7,0.00000814847,0.9997795,7.752612e-7,0.000007851051,0.000015678259,0.00008653037,0.000052600073,0.000017996017,0.000007998916,0.000021264677,7.229372e-7],"about_ca_topic_score_codex":0.046564363,"about_ca_topic_score_gemma":0.12987036,"teacher_disagreement_score":0.046564363,"about_ca_system_score_codex":0.0003939288,"about_ca_system_score_gemma":0.00046950407,"threshold_uncertainty_score":0.092586696},"labels":[],"label_agreement":null},{"id":"W2085437594","doi":"10.1016/j.fishres.2014.10.009","title":"Assessing the use of different marine growth zones of adult Atlantic salmon scales for studying marine trophic ecology with stable isotope analysis","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; University of Waterloo","funders":"Fisheries and Oceans Canada; Department for Environment, Food and Rural Affairs, UK Government; Pinngortitaleriffik","keywords":"Trophic level; Ecology; Isotope analysis; Stable isotope ratio; Environmental science; Oceanography; Fishery; Biology; Geology","score_opus":0.05499839290334605,"score_gpt":0.30633775696316934,"score_spread":0.25133936405982327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085437594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964678,0.00019876385,0.0023945665,0.000016953985,0.0000034172022,0.000012346632,0.00013262327,0.000013645365,0.0007598162],"genre_scores_gemma":[0.9936522,0.00009985471,0.0057592993,0.000018806139,0.0000033460203,0.000021971284,0.00011885825,0.000011552266,0.00031403828],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994766,0.00017221857,0.00004901516,0.00013439565,0.000120887984,0.000046876154],"domain_scores_gemma":[0.9982993,0.0007245768,0.00035957177,0.00017661547,0.00033370548,0.00010637343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013555179,0.00040814196,0.00028685736,0.00086087687,0.0003237163,0.0008422173,0.00037446243,0.00039074486,0.0004755104],"category_scores_gemma":[0.0024661513,0.0002133893,0.00036760166,0.00051991234,0.0003294544,0.00047178444,0.0005953341,0.00022177579,0.00012763948],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006499979,0.00008924326,0.84808517,0.000081672166,0.00038781975,0.00006148944,0.00041333822,0.0010439894,0.10150029,0.00013431002,0.00010942427,0.04744333],"study_design_scores_gemma":[0.00001548378,0.0003385042,0.9834516,0.000013121029,0.00017254663,0.00010693625,0.0003716097,0.003851321,0.011187709,0.00010411556,0.00036827463,0.00001882209],"about_ca_topic_score_codex":0.007061451,"about_ca_topic_score_gemma":0.031218672,"teacher_disagreement_score":0.007061451,"about_ca_system_score_codex":0.0002616377,"about_ca_system_score_gemma":0.00024639748,"threshold_uncertainty_score":0.014040709},"labels":[],"label_agreement":null},{"id":"W2086762600","doi":"10.1016/j.fishres.2014.02.012","title":"Reconstructed catches and trends for mainland Portugal fisheries between 1938 and 2009: implications for sustainability, domestic fish supply and imports","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Pew Charitable Trusts","keywords":"Fishery; Geography; Marine fisheries; Fisheries management; Recreational fishing; Range (aeronautics); Fishing; Biology","score_opus":0.039000157675583264,"score_gpt":0.33087249525760865,"score_spread":0.29187233758202535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086762600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111736,0.0004883574,0.00027872407,0.00007883959,0.000017007807,0.0000035521202,0.005776641,0.000019948226,0.002219541],"genre_scores_gemma":[0.9933188,0.00033973533,0.00047308722,0.000009907637,0.000010713005,0.000006424822,0.004657856,0.000018006987,0.0011655261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998128,0.000020865435,0.000028146573,0.0000661542,0.000028536533,0.00004358296],"domain_scores_gemma":[0.9992454,0.00012086555,0.00032827887,0.00009711681,0.00014686315,0.00006150572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061346573,0.00036084917,0.0002113023,0.0016260683,0.00030998423,0.0008234826,0.00034444872,0.00036959985,0.0030347],"category_scores_gemma":[0.0019110788,0.00026744942,0.0009596322,0.0020549127,0.00036364226,0.0006255222,0.00058810774,0.0002913431,0.00080126926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036324613,0.000023675226,0.9791647,0.000099199526,0.00022963947,0.00026956096,0.00061092415,0.0032945403,0.0007644221,0.0006314475,0.0008411992,0.0137074385],"study_design_scores_gemma":[0.000003933388,0.000014765413,0.99686193,0.000028145007,0.00003001829,0.00012455211,0.0002911708,0.0010268491,0.00013978247,0.000081828526,0.0013899491,0.000007170255],"about_ca_topic_score_codex":0.029042829,"about_ca_topic_score_gemma":0.053289924,"teacher_disagreement_score":0.029042829,"about_ca_system_score_codex":0.0009938201,"about_ca_system_score_gemma":0.0004161794,"threshold_uncertainty_score":0.057747602},"labels":[],"label_agreement":null},{"id":"W2087374809","doi":"10.1016/j.fishres.2014.05.010","title":"Connectivity of capelin (Mallotus villosus) between regions and spawning habitats in Newfoundland inferred from otolith chemistry","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Ciência sem Fronteiras; Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration","keywords":"Capelin; Fishery; Otolith; Bay; Habitat; Mallotus; Forage fish; Biology; Population; Halibut; Fishing; Ecology; Oceanography; Fish ; Predation; Geology","score_opus":0.04898305917038139,"score_gpt":0.30253473314598645,"score_spread":0.2535516739756051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087374809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996032,0.00003590395,0.000017342702,0.00000904004,6.716472e-7,9.827542e-7,0.00012403383,0.0000011987607,0.00020765202],"genre_scores_gemma":[0.999491,0.000024613511,0.00006584518,0.00001237743,7.9199117e-7,0.000002256543,0.00015742413,0.0000012760502,0.00024441996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998419,0.000016717273,0.000010399421,0.000053034742,0.000012732186,0.00006513246],"domain_scores_gemma":[0.9992987,0.00009920364,0.0002968296,0.000036605197,0.00010789743,0.00016065128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015579403,0.00013482207,0.00020744077,0.0010522162,0.00065164076,0.00054185046,0.00033104408,0.00022328518,0.0014873559],"category_scores_gemma":[0.0007285693,0.00023512663,0.00015903043,0.00089871744,0.00066079694,0.00036265436,0.0007464678,0.00019604634,0.00014698583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054825105,0.000009282342,0.9963607,0.000008547014,0.000036945483,0.00006890585,0.00043310234,0.000098693745,0.001316737,0.00003782162,0.00013999907,0.0014343705],"study_design_scores_gemma":[4.9958544e-7,0.0000026730083,0.99973494,0.0000015701731,0.0000035290543,0.000011572449,0.00015503402,0.000036108715,0.000012253544,0.000002798736,0.000038124734,7.693919e-7],"about_ca_topic_score_codex":0.6436026,"about_ca_topic_score_gemma":0.9104521,"teacher_disagreement_score":0.3563974,"about_ca_system_score_codex":0.0020699638,"about_ca_system_score_gemma":0.0007464539,"threshold_uncertainty_score":0.71699256},"labels":[],"label_agreement":null},{"id":"W2087415551","doi":"10.1016/j.fishres.2007.11.005","title":"Stock structure and seasonal distribution patterns of American lobster, Homarus americanus, inferred through movement analyses","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"Fisheries and Oceans Canada","keywords":"Homarus; American lobster; Stock (firearms); Biological dispersal; Fishery; Abundance (ecology); Geography; Ecology; Habitat; Population; Seasonality; Oceanography; Biology; Crustacean; Geology; Demography","score_opus":0.06850581110461618,"score_gpt":0.3752255945907463,"score_spread":0.3067197834861301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087415551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99979633,0.000011727887,0.000040573632,0.000003161929,2.0911364e-7,7.338833e-7,0.000059632155,0.0000010479101,0.0000865074],"genre_scores_gemma":[0.99950814,0.000020372923,0.00015055505,0.0000021203152,7.7238553e-7,0.000002270752,0.00016167163,9.446082e-7,0.00015327505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999373,0.000014922986,0.0000054977295,0.000020479909,0.000008408225,0.000013327103],"domain_scores_gemma":[0.99960107,0.00010665821,0.0001512893,0.00003495746,0.00005814783,0.000047827452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024528714,0.00013113904,0.00009303728,0.001118485,0.00021395016,0.00022777516,0.00016792856,0.00012471768,0.0008095013],"category_scores_gemma":[0.0008286491,0.00014152075,0.00010943312,0.0007155982,0.00019983808,0.0002467247,0.0001708288,0.000096832526,0.000120866935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096768534,0.000019879533,0.9923999,0.000003808605,0.00003160905,0.000020825228,0.00014372329,0.00035913126,0.0021156892,0.000039945924,0.000051024417,0.004717728],"study_design_scores_gemma":[0.0000023056039,0.000014219573,0.9989472,0.0000010775173,0.000013155797,0.00002485485,0.00008381267,0.00076901447,0.000081644816,0.000022902579,0.000038497375,0.0000013685194],"about_ca_topic_score_codex":0.024155496,"about_ca_topic_score_gemma":0.06752301,"teacher_disagreement_score":0.024155496,"about_ca_system_score_codex":0.00025745403,"about_ca_system_score_gemma":0.0001506856,"threshold_uncertainty_score":0.04802978},"labels":[],"label_agreement":null},{"id":"W2087985533","doi":"10.1016/s0165-7836(02)00086-3","title":"Swimming behaviour of winter flounder (Pleuronectes americanus) on natural fishing grounds as observed by an underwater video camera","year":2003,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Pleuronectes; Winter flounder; Flounder; Fishery; Fishing; Seabed; Oceanography; Environmental science; Fish ; Geology; Biology","score_opus":0.0557289842602753,"score_gpt":0.30357985487167444,"score_spread":0.24785087061139915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087985533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996246,0.000009746933,0.00005430284,0.000001894139,0.0000010382886,0.0000026552573,0.00009143077,0.000002394786,0.00021184077],"genre_scores_gemma":[0.99784184,0.00004332106,0.00041188477,0.000011885443,0.0000020182574,0.000010414658,0.0003471422,0.0000033059182,0.0013282046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99996245,0.0000047285193,0.0000024187054,0.000012316431,0.000005389684,0.0000127816575],"domain_scores_gemma":[0.9998311,0.00002970448,0.000033832694,0.000007387186,0.00003591162,0.000062099505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088959954,0.00016002236,0.00014201632,0.000453893,0.0002037121,0.000116601914,0.0001213515,0.00018329473,0.0015816317],"category_scores_gemma":[0.00026843062,0.0001225849,0.00010564342,0.00015854443,0.00012446784,0.00018427924,0.00020607912,0.00013569457,0.00028461858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012245906,0.00035391477,0.5868341,0.00008072869,0.00006572492,0.0005267017,0.0013788528,0.00063919823,0.38330674,0.00006766706,0.00074807485,0.024773793],"study_design_scores_gemma":[0.0000072814055,0.00033477508,0.9949699,0.000004660179,0.000017415387,0.00017717488,0.00024864034,0.00072808954,0.003315963,0.0000070093743,0.0001841012,0.0000051086768],"about_ca_topic_score_codex":0.0051954323,"about_ca_topic_score_gemma":0.014321782,"teacher_disagreement_score":0.0051954323,"about_ca_system_score_codex":0.00013980048,"about_ca_system_score_gemma":0.00012806045,"threshold_uncertainty_score":0.010330379},"labels":[],"label_agreement":null},{"id":"W2089865728","doi":"10.1016/s0165-7836(03)00059-6","title":"Effects of landing net mesh type on injury and mortality in a freshwater recreational fishery","year":2003,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Lepomis; Fishery; Biology; Lepomis macrochirus; Fishing; Fish fin; Mortality rate; Catch and release; Fish ; Toxicology; Recreational fishing; Medicine; Surgery","score_opus":0.03776693085830241,"score_gpt":0.31533784564601264,"score_spread":0.27757091478771023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089865728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998882,0.0000069580806,0.0000054787015,0.000007798487,9.450088e-7,8.332693e-7,0.000018056202,6.5682025e-7,0.00007117109],"genre_scores_gemma":[0.9996872,0.00001660273,0.000027215843,0.000011917444,0.0000022471495,0.0000025540392,0.00004247944,9.234146e-7,0.00020890498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998385,0.00005311681,0.000017346438,0.000018374403,0.000020499556,0.000052095853],"domain_scores_gemma":[0.9984097,0.00051077706,0.00034426065,0.000065492524,0.00010280748,0.000567025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047435865,0.00027908958,0.0002167932,0.0005472372,0.00054937677,0.00033531434,0.0003238126,0.00040328063,0.002000005],"category_scores_gemma":[0.0020992814,0.00019511,0.0003257916,0.00041217706,0.000480145,0.00034189428,0.00037906138,0.00034480487,0.00021731181],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030144525,0.0005432124,0.9888588,0.0000099077915,0.00007587078,0.00046974322,0.00015176684,0.00025556306,0.0032378049,0.000018413812,0.00012145387,0.003243108],"study_design_scores_gemma":[0.0000092456885,0.00043658202,0.9989747,0.0000013944931,0.000011321586,0.0000884979,0.00015588656,0.00018536633,0.00010775541,0.000012846679,0.00001374116,0.000002691878],"about_ca_topic_score_codex":0.015266812,"about_ca_topic_score_gemma":0.047991544,"teacher_disagreement_score":0.015266812,"about_ca_system_score_codex":0.0005089064,"about_ca_system_score_gemma":0.0003891581,"threshold_uncertainty_score":0.03035587},"labels":[],"label_agreement":null},{"id":"W2090340370","doi":"10.1016/j.fishres.2012.08.005","title":"Simulation-based evaluation of the accuracy in indirectly estimating gillnet selectivity","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Michigan State University","keywords":"Estimator; Statistics; Selection (genetic algorithm); Fishing; Efficiency; Mathematics; Sample size determination; Model selection; Curve fitting; Sample (material); Fishery; Computer science; Biology; Physics","score_opus":0.10641056086023286,"score_gpt":0.4066779658566262,"score_spread":0.3002674049963933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090340370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96840435,0.00021568786,0.02995103,0.00012470086,0.000030022373,0.000040972052,0.00024337691,0.00017439289,0.0008155356],"genre_scores_gemma":[0.9906121,0.000034361903,0.008952319,0.00001573705,0.0000044841313,0.000016472295,0.00020381183,0.000014357515,0.00014645378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969067,0.001995271,0.00022926564,0.00036004523,0.00034332956,0.00016538349],"domain_scores_gemma":[0.92234975,0.06988235,0.0016743513,0.0021290397,0.003514382,0.00045004123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009631915,0.0008750632,0.0008846123,0.00085350545,0.0004740748,0.0009178223,0.0012014015,0.0019238474,0.0010044982],"category_scores_gemma":[0.035048734,0.0004813734,0.00074372586,0.0006920093,0.00078341225,0.0009876122,0.00085424667,0.0008059031,0.00013754993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030245397,0.00035843882,0.037656654,0.0000753556,0.00027588705,0.000047134163,0.00006377294,0.94421166,0.0016487588,0.0005193572,0.00017261342,0.011945866],"study_design_scores_gemma":[0.000076381686,0.0002260746,0.0044031655,0.000007701244,0.000046722056,0.000028180619,0.000013988414,0.993922,0.0010792062,0.00014675363,0.00003840914,0.000011491958],"about_ca_topic_score_codex":0.03439801,"about_ca_topic_score_gemma":0.018239299,"teacher_disagreement_score":0.03439801,"about_ca_system_score_codex":0.0015379355,"about_ca_system_score_gemma":0.0015235693,"threshold_uncertainty_score":0.068395615},"labels":[],"label_agreement":null},{"id":"W2093975176","doi":"10.1016/j.fishres.2013.10.020","title":"Trade-offs in experimental designs for estimating post-release mortality in containment studies","year":2013,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"U.S. Geological Survey; National Science Foundation","keywords":"Container (type theory); Fish ; Containment (computer programming); Code (set theory); Computer science; Statistics; Environmental science; Fishery; Biology; Mathematics; Engineering","score_opus":0.14267636532015057,"score_gpt":0.39042309782194984,"score_spread":0.24774673250179927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093975176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1470751,0.007882622,0.82678807,0.0022772257,0.0012879241,0.006427524,0.0007099148,0.0013853713,0.0061662137],"genre_scores_gemma":[0.5296758,0.0008500288,0.44313946,0.0015112818,0.00039203162,0.02042733,0.00056567154,0.0006654332,0.002773031],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.39636374,0.52459294,0.034795657,0.01803498,0.024292521,0.0019202072],"domain_scores_gemma":[0.12127601,0.8097175,0.020814648,0.040248435,0.0067100716,0.001233267],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.36153156,0.0026525536,0.0044744466,0.0024962195,0.0021480864,0.0035953324,0.0049762335,0.0063687917,0.004129222],"category_scores_gemma":[0.6179021,0.0037766476,0.0057962826,0.0026024946,0.0059855534,0.0072654877,0.003823966,0.006529335,0.00082247733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.18212692,0.009442751,0.07255993,0.007089466,0.021527344,0.00070423534,0.0044347947,0.07267655,0.039034843,0.048531845,0.00421191,0.5376594],"study_design_scores_gemma":[0.03868916,0.08012827,0.25421652,0.0039804364,0.024602892,0.0018427303,0.0011627902,0.2746952,0.05980133,0.2335123,0.025781011,0.0015873283],"about_ca_topic_score_codex":0.0007868381,"about_ca_topic_score_gemma":0.0015524272,"teacher_disagreement_score":0.63846844,"about_ca_system_score_codex":0.003758919,"about_ca_system_score_gemma":0.00132716,"threshold_uncertainty_score":0.7873453},"labels":[],"label_agreement":null},{"id":"W2095414287","doi":"10.1016/j.fishres.2014.02.029","title":"Fish surgery – A dirty business? Comments to a letter submitted by D. Mulcahy and C.A. Harms","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fish ; Fishery; Medicine; Biology","score_opus":0.1757606231124257,"score_gpt":0.47735425706174917,"score_spread":0.3015936339493235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095414287","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033894123,0.00054659473,0.000047791422,0.9854521,0.012553781,0.000016400078,0.00003266803,0.000016131644,0.0009956029],"genre_scores_gemma":[0.0023054252,0.00080292235,0.00012737366,0.9805313,0.011324847,0.000024205356,0.000014563483,0.00001997084,0.004849387],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99415874,0.0013616596,0.00090159435,0.00071132055,0.002129477,0.0007371832],"domain_scores_gemma":[0.9632253,0.020658696,0.0017573112,0.0005776356,0.009598818,0.004182222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009255381,0.0010005459,0.0013189644,0.00085257436,0.006759502,0.004132875,0.0033786623,0.05898242,0.008370782],"category_scores_gemma":[0.049734943,0.0011518971,0.001519041,0.0009587065,0.0033571892,0.0042294883,0.001961669,0.03799288,0.005327003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038920993,0.000020839483,0.00031658163,0.00006048316,0.000008554228,0.0009961827,0.00042560435,0.000037660076,0.00017446988,0.00060661574,0.9946032,0.0027108379],"study_design_scores_gemma":[0.00004497624,0.000084858635,0.0018473032,0.0003254832,0.000030521907,0.0016686089,0.002651074,0.00019925422,0.00035395907,0.0018267324,0.9908661,0.00010113325],"about_ca_topic_score_codex":0.015370125,"about_ca_topic_score_gemma":0.022192199,"teacher_disagreement_score":0.05898242,"about_ca_system_score_codex":0.0056865136,"about_ca_system_score_gemma":0.00813404,"threshold_uncertainty_score":0.048947692},"labels":[],"label_agreement":null},{"id":"W2097956487","doi":"10.1016/j.fishres.2005.06.007","title":"Sea lice on adult Pacific salmon in the coastal waters of Central British Columbia, Canada","year":2005,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"British Columbia Innovation Council","keywords":"Chinook wind; Fishery; Lepeophtheirus; Biology; Oncorhynchus; Fish ; Aquaculture","score_opus":0.020712443722092758,"score_gpt":0.3000801634904015,"score_spread":0.27936771976830876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097956487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886984,0.000110590416,0.0000071869654,0.000038890514,0.0000032426863,0.000005410874,0.00032692228,0.0000012566253,0.00063665526],"genre_scores_gemma":[0.99787354,0.00022914573,0.000029113196,0.000036292477,0.0000023848481,0.000005983547,0.00034110443,0.0000011879083,0.0014812445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978906,0.00002518922,0.000008954296,0.000024300962,0.000063778134,0.00008881255],"domain_scores_gemma":[0.9989718,0.00007616347,0.00015161699,0.000020749107,0.00043923198,0.00034053074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019756593,0.0002705609,0.00028975503,0.0007024632,0.0014304564,0.00070879544,0.00044429098,0.00039866203,0.001492526],"category_scores_gemma":[0.0008855134,0.0002447559,0.00023675643,0.00126607,0.00077602046,0.00029446092,0.00058384775,0.00047976966,0.00026007483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018852515,0.00004436066,0.99364555,0.000023781195,0.000034005458,0.00012414267,0.0013754991,0.00008726527,0.0005525664,0.000019043686,0.0005132409,0.003392063],"study_design_scores_gemma":[0.0000017877791,0.000020336885,0.9985483,0.0000066376174,0.0000051342477,0.000014386629,0.0012072551,0.000027530348,0.000017370807,0.0000029024798,0.00014592554,0.0000023129203],"about_ca_topic_score_codex":0.96464866,"about_ca_topic_score_gemma":0.9921095,"teacher_disagreement_score":0.035351336,"about_ca_system_score_codex":0.006610356,"about_ca_system_score_gemma":0.0047689313,"threshold_uncertainty_score":0.07111901},"labels":[],"label_agreement":null},{"id":"W2098196349","doi":"10.1016/j.fishres.2011.11.001","title":"The influence of hook size, type, and location on hook retention and survival of angled bonefish (Albula vulpes)","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Hook; Vulpes; Biology; Fish ; Predation; Fishery; Ecology; Zoology; Medicine","score_opus":0.047242922376929335,"score_gpt":0.2749061855261526,"score_spread":0.22766326314922325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098196349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99982834,0.00003406133,0.000012546653,0.000008959167,0.0000013021016,6.402824e-7,0.000026663594,8.445387e-7,0.000086597756],"genre_scores_gemma":[0.99968183,0.0000247793,0.000034746125,0.00001463897,0.0000020676423,0.0000017702625,0.000052804662,0.0000019132838,0.00018542855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998043,0.00005509923,0.000015164128,0.000047614245,0.000027789807,0.000050076356],"domain_scores_gemma":[0.9979881,0.000859703,0.00046934924,0.00009913279,0.000101744634,0.00048196968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032982964,0.0002777173,0.00017984683,0.00033558696,0.00023412399,0.00040348366,0.00032885815,0.0003862585,0.0015388107],"category_scores_gemma":[0.0015774498,0.00025361346,0.00028928358,0.00023891727,0.0006060916,0.00035567654,0.00032052494,0.00045392028,0.0002243954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021684514,0.00032252693,0.97486204,0.000016546173,0.00013981014,0.00028349043,0.00012246365,0.00020054515,0.016766397,0.00002610457,0.000113722526,0.0049777804],"study_design_scores_gemma":[0.0000066046323,0.0002445955,0.9991773,8.973784e-7,0.000017049588,0.00007179417,0.00006369413,0.00009462048,0.00028842886,0.000010375979,0.000022674702,0.0000020085424],"about_ca_topic_score_codex":0.007061612,"about_ca_topic_score_gemma":0.025260804,"teacher_disagreement_score":0.007061612,"about_ca_system_score_codex":0.00037262545,"about_ca_system_score_gemma":0.00027727336,"threshold_uncertainty_score":0.014041007},"labels":[],"label_agreement":null},{"id":"W2103157239","doi":"10.1016/j.fishres.2006.02.003","title":"A regional database management system—the fisheries resource information system and tools (FiRST): Its design, utility and future directions","year":2006,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Demersal zone; Resource (disambiguation); Fishing; Fisheries management; Fishery; Environmental resource management; Biomass (ecology); Geography; Resource management (computing); Database; Business; Environmental science; Computer science; Oceanography","score_opus":0.05445162613369167,"score_gpt":0.26149769759108354,"score_spread":0.20704607145739187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103157239","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017187726,0.0042567267,0.78811264,0.0056565558,0.0008524949,0.0017655863,0.0402393,0.11129575,0.030633183],"genre_scores_gemma":[0.11307799,0.0042993864,0.73870426,0.0023494412,0.0011228431,0.0018452015,0.10696514,0.010029231,0.021606533],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932922,0.0019059606,0.0017975091,0.0011607761,0.0015159934,0.0003276534],"domain_scores_gemma":[0.96252054,0.007883692,0.0026460579,0.013541558,0.010134597,0.003273515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019788867,0.0009051537,0.0024236192,0.008965249,0.0014502696,0.012001645,0.0047276216,0.0012033301,0.011081619],"category_scores_gemma":[0.031417497,0.0009302868,0.0011956926,0.008444361,0.00076705986,0.010890979,0.0032821298,0.0019689202,0.00991926],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010535583,0.00029377837,0.015317017,0.0011279793,0.00041336997,0.00022064341,0.0011084224,0.003804112,0.009149162,0.041724145,0.1973171,0.7284707],"study_design_scores_gemma":[0.00045075853,0.0005608114,0.017906332,0.0008508998,0.0009317918,0.0013287456,0.00091976294,0.05336681,0.025476031,0.02172939,0.8759171,0.0005615561],"about_ca_topic_score_codex":0.019915024,"about_ca_topic_score_gemma":0.0074024433,"teacher_disagreement_score":0.019915024,"about_ca_system_score_codex":0.002323231,"about_ca_system_score_gemma":0.007747707,"threshold_uncertainty_score":0.10465473},"labels":[],"label_agreement":null},{"id":"W2103450449","doi":"10.1016/j.fishres.2015.02.002","title":"Considerations for the design and interpretation of fishing release mortality estimates","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Wilfrid Laurier University; Carleton University; University of Waterloo; University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fishing; Cage; Fish ; Fishery; Animal science; Biology; Captivity; Range (aeronautics); Catch and release; Recreational fishing; Zoology; Mathematics; Materials science","score_opus":0.19621236793083205,"score_gpt":0.373509436692738,"score_spread":0.17729706876190596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103450449","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023992568,0.005319052,0.9010423,0.0442848,0.0039631776,0.0038816703,0.0013388217,0.0012952023,0.01488241],"genre_scores_gemma":[0.12857306,0.0015516188,0.8494204,0.010460107,0.0017730717,0.0049916226,0.00032034016,0.00061533676,0.0022942496],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7130858,0.23745465,0.02144752,0.0061812815,0.02035779,0.0014729634],"domain_scores_gemma":[0.36713305,0.53418463,0.0162956,0.023192393,0.056930367,0.0022639742],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.33375216,0.0020940069,0.0036479814,0.0057069245,0.004024412,0.010774764,0.0067247087,0.0071712574,0.004338203],"category_scores_gemma":[0.6737209,0.0024715636,0.0025535722,0.0061121467,0.006207269,0.006801892,0.004209945,0.0075042145,0.0023927405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047156904,0.0011283279,0.08135641,0.0052503436,0.0029586065,0.0024185078,0.015759956,0.03164271,0.013844017,0.12463561,0.08418239,0.6321074],"study_design_scores_gemma":[0.0023911092,0.0044648293,0.17013495,0.014665127,0.0030912003,0.006779702,0.013093049,0.120442845,0.02494364,0.39412,0.24416421,0.0017094046],"about_ca_topic_score_codex":0.013853156,"about_ca_topic_score_gemma":0.02854585,"teacher_disagreement_score":0.33375216,"about_ca_system_score_codex":0.0037135596,"about_ca_system_score_gemma":0.0059245788,"threshold_uncertainty_score":0.8216022},"labels":[],"label_agreement":null},{"id":"W2104782730","doi":"10.1016/j.fishres.2009.11.006","title":"Inferring shark population trends from generalized linear mixed models of pelagic longline catch and effort data","year":2009,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Marine Fisheries Service","keywords":"Carcharhinus; Fishery; Pelagic zone; Catch per unit effort; Bycatch; Population; Context (archaeology); Logbook; Geography; Biology; Abundance (ecology); Ecology; Fishing; Demography","score_opus":0.11527110928626065,"score_gpt":0.35392290527788134,"score_spread":0.23865179599162067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104782730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9637471,0.00013806326,0.034741484,0.00010127575,0.000021013011,0.00001530659,0.0007252773,0.00025288787,0.00025760624],"genre_scores_gemma":[0.9809646,0.00008123504,0.016461171,0.000028713619,0.000025425785,0.000020741274,0.002018524,0.000032781943,0.000366793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903035,0.0004026821,0.000069539914,0.00032806455,0.00006556775,0.000103733204],"domain_scores_gemma":[0.9942253,0.0038140598,0.000685149,0.000727434,0.00033197808,0.00021600886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042217197,0.00077830994,0.00089170894,0.0016385401,0.00046836757,0.0010995374,0.00084431656,0.0008016014,0.0006045823],"category_scores_gemma":[0.010451131,0.0012305821,0.0015123348,0.001195893,0.0004076271,0.0013790171,0.0007139283,0.0008014582,0.00033784655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007674018,0.00029901572,0.73854685,0.00006759677,0.0012445232,0.0001634489,0.00032788678,0.18818542,0.0042942045,0.0008198975,0.00091159693,0.06437216],"study_design_scores_gemma":[0.000048801878,0.00017097441,0.11288548,0.00001495667,0.000302898,0.00009000537,0.00014342084,0.88308823,0.00089301885,0.00201442,0.00031784305,0.000029950463],"about_ca_topic_score_codex":0.021168657,"about_ca_topic_score_gemma":0.040460624,"teacher_disagreement_score":0.021168657,"about_ca_system_score_codex":0.00072429545,"about_ca_system_score_gemma":0.0009960681,"threshold_uncertainty_score":0.042090893},"labels":[],"label_agreement":null},{"id":"W2108431125","doi":"10.1016/j.fishres.2008.05.006","title":"Practical stakeholder-driven harvest policies for groundfish fisheries in British Columbia, Canada","year":2008,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Simon Fraser University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Groundfish; Stock (firearms); Stock assessment; Stakeholder; Fishery; Fisheries management; Business; Environmental resource management; Environmental science; Fishing; Economics; Geography","score_opus":0.155056823719683,"score_gpt":0.3225927836506176,"score_spread":0.16753595993093462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108431125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7836327,0.0014695626,0.0061428864,0.045720458,0.00015056731,0.0010490672,0.0012822864,0.00016653111,0.16038583],"genre_scores_gemma":[0.97475195,0.00045291468,0.0034440807,0.0024736926,0.0000131920315,0.00015862574,0.00018089561,0.000017082148,0.018507542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9956981,0.0008685895,0.00017231176,0.00022603733,0.00092554605,0.0021093534],"domain_scores_gemma":[0.9935161,0.0022743356,0.00021898672,0.00016234092,0.0024726272,0.001355703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005816316,0.00038063616,0.0004111951,0.001213674,0.0065041063,0.005682756,0.001958915,0.0036870753,0.0059645283],"category_scores_gemma":[0.012826997,0.0005058706,0.00032280406,0.0013452126,0.0016351327,0.0018075197,0.0017227386,0.0021836886,0.00019885882],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001210657,0.0012322485,0.13531762,0.0009882951,0.00036589996,0.0029759547,0.015178967,0.20194407,0.0072749616,0.27512667,0.15739276,0.20099188],"study_design_scores_gemma":[0.000909602,0.000568636,0.4364246,0.0013635029,0.00049284234,0.000365133,0.07720323,0.17305887,0.0038546706,0.12587515,0.17924482,0.0006389671],"about_ca_topic_score_codex":0.9757308,"about_ca_topic_score_gemma":0.9943479,"teacher_disagreement_score":0.073048234,"about_ca_system_score_codex":0.073048234,"about_ca_system_score_gemma":0.18255325,"threshold_uncertainty_score":0.5300045},"labels":[],"label_agreement":null},{"id":"W2118714469","doi":"10.1016/s0165-7836(00)00137-5","title":"Reevaluation of the interpretation of annuli from otoliths of a long-lived fish, Anoplopoma fimbria","year":2000,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishery; Fish ; Biology; Zoology; Maturity (psychological); Law","score_opus":0.04717602079661529,"score_gpt":0.32235579805629555,"score_spread":0.27517977725968024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118714469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96940774,0.0038662867,0.019501561,0.001319744,0.00014081397,0.000016093956,0.00019006415,0.00018118742,0.005376476],"genre_scores_gemma":[0.9814213,0.00088897394,0.01565513,0.00021510155,0.000051633087,0.000006871266,0.00013472424,0.00007349943,0.0015529196],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99977547,0.000040998424,0.000028824297,0.000048955153,0.00007550363,0.000030141131],"domain_scores_gemma":[0.9977969,0.0007091597,0.0002642198,0.00035027828,0.0007688153,0.000110596004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015333731,0.0003729021,0.0002045851,0.0011352547,0.0009055876,0.0014472696,0.0012185321,0.0009679395,0.0011200487],"category_scores_gemma":[0.007970082,0.00020824219,0.00026229833,0.0004257906,0.0013874407,0.0011020792,0.0007548745,0.0009004077,0.00048481324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065362797,0.00005411614,0.20207411,0.00081441615,0.00018472195,0.0031983135,0.0064745136,0.0018946651,0.40931645,0.0049626385,0.0016221423,0.36875033],"study_design_scores_gemma":[0.000019698957,0.0002271042,0.8492791,0.00043583216,0.00031262494,0.0090054115,0.0051022284,0.013730904,0.06104759,0.006719606,0.0539863,0.00013363072],"about_ca_topic_score_codex":0.0067665363,"about_ca_topic_score_gemma":0.018490793,"teacher_disagreement_score":0.0067665363,"about_ca_system_score_codex":0.00053323316,"about_ca_system_score_gemma":0.00072387425,"threshold_uncertainty_score":0.013454258},"labels":[],"label_agreement":null},{"id":"W2121048404","doi":"10.1016/s0165-7836(00)00231-9","title":"Cooperative versus non-cooperative management of shared linefish stocks in South Africa: an assessment of alternative management strategies for geelbek (Atractoscion aequidens)","year":2001,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fisheries Society of the British Isles","keywords":"Stock (firearms); Sustainability; Fisheries management; Business; Recreation; Government (linguistics); Distribution (mathematics); Environmental resource management; Natural resource economics; Management strategy; Marine protected area; Stock assessment; Common-pool resource; Fishery; Geography; Fishing; Economics; Ecology; Habitat","score_opus":0.11048110516370127,"score_gpt":0.40121365829626376,"score_spread":0.2907325531325625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121048404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999275,0.00012169463,0.000110246314,0.000077482204,0.0000017681051,0.000028094542,0.000010838748,8.45e-7,0.0003740977],"genre_scores_gemma":[0.99915075,0.00017310775,0.00041139114,0.000020349524,0.0000010636013,0.000025193094,0.000011397122,4.4925082e-7,0.00020619393],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902844,0.00044124742,0.000052607396,0.00007946821,0.00016063725,0.00023754031],"domain_scores_gemma":[0.9984843,0.00050448504,0.0005331336,0.000041045132,0.00016160263,0.00027536316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020083266,0.00037740867,0.00024901045,0.0006636682,0.0007836281,0.0005770579,0.0008236632,0.0005368602,0.0012770924],"category_scores_gemma":[0.0035280387,0.000165532,0.00030324736,0.0005179348,0.00069592515,0.0009967012,0.0009948394,0.0002719466,0.000066108856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007173551,0.0029099565,0.6878923,0.0010345741,0.0007888132,0.0024268213,0.009786267,0.010784556,0.036111735,0.003167675,0.00060240773,0.23732139],"study_design_scores_gemma":[0.00055326545,0.013447815,0.94955736,0.00028202307,0.0005444007,0.0006609576,0.018310174,0.008937554,0.0040727,0.0010001751,0.0025850479,0.000048571488],"about_ca_topic_score_codex":0.045700565,"about_ca_topic_score_gemma":0.21336377,"teacher_disagreement_score":0.045700565,"about_ca_system_score_codex":0.003061418,"about_ca_system_score_gemma":0.0025889382,"threshold_uncertainty_score":0.09086907},"labels":[],"label_agreement":null},{"id":"W2122526865","doi":"10.1016/j.fishres.2005.08.009","title":"Monitoring small-scale marine fisheries: An example from Thailand's Ko Chang archipelago","year":2005,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Research Council of Thailand; University of Victoria","keywords":"Fishery; Fishing; Archipelago; Fisheries management; Stock assessment; Geography; Marine protected area; Scale (ratio); Fisheries science; Sustainability; Overfishing; Environmental resource management; Environmental science; Ecology; Biology","score_opus":0.1230534411846849,"score_gpt":0.29631867617482566,"score_spread":0.17326523499014074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122526865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99601316,0.00011166428,0.00029650787,0.00017856056,0.0000048183033,0.00003333786,0.00036353077,0.00001206745,0.0029862444],"genre_scores_gemma":[0.9964301,0.00025913393,0.0016974165,0.00006983494,0.000008846956,0.000023846995,0.00028212275,0.000007750569,0.0012211128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997695,0.00006871936,0.000018132192,0.00003474964,0.000056401488,0.000052556323],"domain_scores_gemma":[0.9988945,0.00027949916,0.00012203184,0.00007615939,0.00037388568,0.00025392565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005190849,0.00036900892,0.00016455252,0.0010263436,0.0014285328,0.0006702346,0.00042871817,0.0005448262,0.0006877787],"category_scores_gemma":[0.00082783104,0.00013137434,0.00022223385,0.0022899027,0.0005744655,0.00040501723,0.000755613,0.0004316169,0.00012940125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028186644,0.00016867458,0.93478996,0.00017227439,0.000112205365,0.009636152,0.0072602304,0.0013717071,0.014899171,0.00023081218,0.0012501016,0.029826852],"study_design_scores_gemma":[0.000024613348,0.00018725518,0.97173136,0.00004136779,0.00009348559,0.0021234064,0.019052478,0.0014552918,0.0022608808,0.00019799698,0.0028078314,0.000024025348],"about_ca_topic_score_codex":0.15396719,"about_ca_topic_score_gemma":0.36486155,"teacher_disagreement_score":0.15396719,"about_ca_system_score_codex":0.00080992107,"about_ca_system_score_gemma":0.0009188999,"threshold_uncertainty_score":0.30614203},"labels":[],"label_agreement":null},{"id":"W2127087885","doi":"10.1016/j.fishres.2009.04.001","title":"Habitat, distribution, and abundance of the commercial octopus (Octopus insularis) in a tropical oceanic island, Brazil: Information for management of an artisanal fishery inside a marine protected area","year":2009,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Pró-Reitoria de Pesquisa, Universidade Federal do Rio Grande do Sul; Universidade Federal do Rio Grande do Norte; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Abundance (ecology); Intertidal zone; Fishery; octopus (software); Habitat; Archipelago; Population; Geography; Ecology; Relative species abundance; Distribution (mathematics); National park; Oceanography; Biology; Geology","score_opus":0.02652519954577292,"score_gpt":0.2800460034792475,"score_spread":0.2535208039334746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127087885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983895,0.00011639417,0.000038491737,0.000021162292,0.0000011650187,0.000007772998,0.0006026507,0.0000017042457,0.0008212178],"genre_scores_gemma":[0.9990201,0.00014928941,0.00014958269,0.000010295027,0.0000012903272,0.000006836854,0.00043988286,0.0000012819011,0.00022143226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990356,0.000013863251,0.000016019232,0.000022248138,0.000019154855,0.000025141318],"domain_scores_gemma":[0.99958736,0.000057657457,0.00016246019,0.000023370396,0.000076239914,0.00009289407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017331314,0.0001931638,0.00013721222,0.0010065065,0.0003070781,0.0002635565,0.00021279277,0.00014266756,0.0011117853],"category_scores_gemma":[0.00057327177,0.00014859968,0.00023048079,0.0008738859,0.0002445707,0.00022739301,0.00033874472,0.00011942946,0.00016295271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031754356,0.000019048863,0.9944977,0.000017842502,0.00001895597,0.00012453135,0.00041694005,0.00004148554,0.0011255263,0.000022419801,0.000121291414,0.0035624567],"study_design_scores_gemma":[0.0000012977213,0.000013910579,0.9992016,0.0000050994586,0.000008645861,0.00011737393,0.00040060305,0.000056114888,0.00003703867,0.0000056214108,0.00015121471,0.0000016391471],"about_ca_topic_score_codex":0.1195526,"about_ca_topic_score_gemma":0.27157205,"teacher_disagreement_score":0.1195526,"about_ca_system_score_codex":0.00049850263,"about_ca_system_score_gemma":0.00035160934,"threshold_uncertainty_score":0.23771346},"labels":[],"label_agreement":null},{"id":"W2130763242","doi":"10.1016/j.fishres.2013.12.014","title":"Evaluating methods for setting catch limits in data-limited fisheries","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":264,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Oceanic and Atmospheric Administration","keywords":"Overfishing; Stock assessment; Fishing; Fish stock; Stock (firearms); Sustainability; Fishery; Fisheries management; Environmental resource management; Computer science; Environmental science; Geography; Ecology","score_opus":0.32730405708132176,"score_gpt":0.5098403870866368,"score_spread":0.18253633000531505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130763242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25978136,0.004628776,0.7262973,0.0008800412,0.00015717355,0.0021395527,0.00094675756,0.00063625735,0.0045327605],"genre_scores_gemma":[0.47361067,0.00073119975,0.5222992,0.0001988861,0.00004418547,0.0017536406,0.00077351707,0.00009900847,0.00048971333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.93393457,0.04713487,0.0053311354,0.0031460344,0.009805651,0.00064777926],"domain_scores_gemma":[0.4527393,0.49163508,0.020965427,0.014809009,0.018520823,0.00133046],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.10896663,0.0017991499,0.0013308941,0.0049006552,0.0009957474,0.0034223837,0.0031132305,0.0025753703,0.0012736346],"category_scores_gemma":[0.3542756,0.00089784997,0.0016821905,0.0024992942,0.0020141916,0.005775521,0.004347341,0.0015122225,0.00024086668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020610564,0.0009719484,0.095887356,0.0024160435,0.0016884343,0.00020339976,0.0013016872,0.55176103,0.002517819,0.02090465,0.0014852646,0.31880125],"study_design_scores_gemma":[0.0003271564,0.0017713819,0.020533698,0.0011531049,0.00043946103,0.0002614754,0.000769188,0.9304488,0.006128342,0.03490935,0.0030620792,0.00019593952],"about_ca_topic_score_codex":0.0072300043,"about_ca_topic_score_gemma":0.0053340946,"teacher_disagreement_score":0.89103335,"about_ca_system_score_codex":0.003194271,"about_ca_system_score_gemma":0.0029788667,"threshold_uncertainty_score":0.5762775},"labels":[],"label_agreement":null},{"id":"W2134511859","doi":"10.1016/j.fishres.2011.08.014","title":"Physiological impairment of adult sockeye salmon in fresh water after simulated capture-and-release across a range of temperatures","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Fisheries and Oceans Canada; Carleton University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Environmental science; Catch and release; Stressor; Fishery; Range (aeronautics); Chinook wind; Fish ; Ecology; Biology; Oncorhynchus; Recreational fishing","score_opus":0.032479974634056274,"score_gpt":0.28678475517728824,"score_spread":0.25430478054323197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134511859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998857,0.000007353526,0.000012648714,0.0000039947236,0.0000019515348,0.0000023218674,0.000048975824,9.532233e-7,0.000036129146],"genre_scores_gemma":[0.9996834,0.000014110725,0.000016973176,0.000008871661,0.0000014077625,0.00000766555,0.00012367453,7.0801195e-7,0.00014322613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999112,0.000013407245,0.000006761282,0.000024968398,0.000011118559,0.000032494572],"domain_scores_gemma":[0.9996662,0.000052925036,0.000065555694,0.000029685989,0.00005302906,0.00013258739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019800458,0.00032077223,0.00026333923,0.0001323069,0.00026535525,0.00038193417,0.00014920096,0.00030040462,0.00092452735],"category_scores_gemma":[0.0006582164,0.00019210878,0.00026906942,0.00013050559,0.00043578094,0.0002470319,0.0003158877,0.00037689164,0.00014676341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01812096,0.0009817492,0.85505617,0.000076826014,0.00030717018,0.00047572542,0.0010164,0.0007585504,0.117722996,0.000039463455,0.0004405163,0.0050034835],"study_design_scores_gemma":[0.000019863513,0.0014605667,0.9962153,0.0000018796669,0.000026868644,0.00007238735,0.0002841652,0.0002839902,0.0015733201,0.0000087861645,0.000047477813,0.000005333568],"about_ca_topic_score_codex":0.014199159,"about_ca_topic_score_gemma":0.027786508,"teacher_disagreement_score":0.014199159,"about_ca_system_score_codex":0.00043932165,"about_ca_system_score_gemma":0.00037696998,"threshold_uncertainty_score":0.028233051},"labels":[],"label_agreement":null},{"id":"W2135432213","doi":"10.1016/j.fishres.2012.08.019","title":"Northern pike bycatch in an inland commercial hoop net fishery: Effects of water temperature and net tending frequency on injury, physiology, and survival","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ministry of Natural Resources and Forestry; Fisheries and Oceans Canada; Carleton University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Pike; Bycatch; Esox; Fishery; Fishing; Environmental science; Fish kill; Catch and release; Fish ; Recreational fishing; Biology; Ecology; Algal bloom","score_opus":0.022646616233440102,"score_gpt":0.2908104608355242,"score_spread":0.2681638446020841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135432213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9999087,0.000007658741,0.000007896763,0.0000097344955,0.0000018517477,0.0000024809412,0.000012750535,7.0557473e-7,0.000048137365],"genre_scores_gemma":[0.999521,0.000016604055,0.000025694457,0.00002486116,0.000003933389,0.0000064474766,0.00006329368,0.0000010714716,0.00033702605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998357,0.000046162557,0.0000097522,0.00002834467,0.00002318582,0.000056770084],"domain_scores_gemma":[0.9996289,0.000042101412,0.000058714722,0.00002172157,0.000037321563,0.00021120324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003547448,0.00031922307,0.00037020832,0.00030034306,0.00078219303,0.00036336726,0.0002318033,0.00050268666,0.00080398633],"category_scores_gemma":[0.0005699359,0.00033179886,0.00027951723,0.0002812583,0.0005160654,0.0003379248,0.0004084568,0.00051602087,0.0001661747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026162404,0.0013322385,0.98581076,0.000009545909,0.00012451371,0.0007908382,0.00042502742,0.00011989026,0.006991884,0.000023060964,0.00021176737,0.001544279],"study_design_scores_gemma":[0.000012148353,0.00054557255,0.99865484,9.566132e-7,0.000019495832,0.00014355742,0.00024642728,0.00017654884,0.00014868291,0.000009944733,0.000039045415,0.0000027251167],"about_ca_topic_score_codex":0.032386184,"about_ca_topic_score_gemma":0.11587923,"teacher_disagreement_score":0.032386184,"about_ca_system_score_codex":0.00090166065,"about_ca_system_score_gemma":0.0005657632,"threshold_uncertainty_score":0.06439537},"labels":[],"label_agreement":null},{"id":"W2138276399","doi":"10.1016/j.fishres.2009.02.005","title":"Physiological and behavioural consequences of catch-and-release angling on northern pike (Esox lucius L.)","year":2009,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":121,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Deutscher Akademischer Austauschdienst; Ministry of Natural Resources","keywords":"Esox; Pike; Stressor; Catch and release; Blood lactate; Physiological stress; Fishing; Medicine; Ecology; Biology; Fish ; Physiology; Heart rate; Fishery; Internal medicine; Recreational fishing; Blood pressure","score_opus":0.0713354326416046,"score_gpt":0.3138431620208064,"score_spread":0.24250772937920184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138276399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998012,0.000011600411,0.000011507864,0.0000117514555,0.0000020033804,0.0000025775555,0.000037646067,0.000001800878,0.00011988027],"genre_scores_gemma":[0.9983803,0.00003134641,0.000043660402,0.000048310932,0.0000034062095,0.000016133994,0.00016028491,0.0000034027132,0.0013130964],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998702,0.00002567697,0.000006385838,0.000034246266,0.000017767272,0.000045688932],"domain_scores_gemma":[0.9995455,0.000041085856,0.000112181864,0.000019237243,0.000033845652,0.00024821106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015709436,0.00031830408,0.00032696902,0.0002659725,0.00042590164,0.00041538625,0.00016772293,0.0003986447,0.0014009158],"category_scores_gemma":[0.00035695534,0.00025500133,0.00022301264,0.00013358844,0.0005035863,0.0002455752,0.00048378357,0.0008402894,0.00036676956],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014013617,0.0038290368,0.4229133,0.00011124646,0.00024548522,0.0012398243,0.0015862163,0.0003404356,0.5462613,0.000090848,0.00087668176,0.008491968],"study_design_scores_gemma":[0.000013074427,0.001261655,0.995557,0.0000025316822,0.000021759988,0.00009214994,0.00049034134,0.0001242826,0.002343091,0.00001216048,0.00007360446,0.00000831939],"about_ca_topic_score_codex":0.009066662,"about_ca_topic_score_gemma":0.03083986,"teacher_disagreement_score":0.009066662,"about_ca_system_score_codex":0.0005785236,"about_ca_system_score_gemma":0.00027621633,"threshold_uncertainty_score":0.018027782},"labels":[],"label_agreement":null},{"id":"W2138639358","doi":"10.1016/j.fishres.2012.02.029","title":"Determinants of income diversification among fishing communities in Western Kenya","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Government of New Brunswick","funders":"University of Guelph","keywords":"Diversification (marketing strategy); Fishing; Poverty; Kenya; Geography; Developing country; Socioeconomics; Fishery; Development economics; Economic growth; Economics; Business; Ecology; Biology","score_opus":0.09924341027869292,"score_gpt":0.3770513351913366,"score_spread":0.27780792491264367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138639358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99964,0.000038191592,0.0000069375847,0.000029924056,3.81791e-7,0.0000028319653,0.00003851728,1.9194546e-7,0.00024314992],"genre_scores_gemma":[0.9997936,0.000040329942,0.000021968328,0.0000061136393,7.059889e-7,0.0000037814693,0.000031501866,1.89336e-7,0.00010175193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968326,0.00007659297,0.000021903672,0.0000379804,0.000027237289,0.00015296268],"domain_scores_gemma":[0.99904066,0.0001403,0.00041254875,0.000024092125,0.0000896763,0.00029272563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042482853,0.00019946194,0.00019760831,0.0012051723,0.0015034211,0.00051581924,0.000359588,0.00028465822,0.0024170624],"category_scores_gemma":[0.0014202786,0.00019895782,0.00017667538,0.001518652,0.0007519026,0.0005553955,0.0011813664,0.00043045756,0.00014986112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038990336,0.000043982356,0.99627066,0.000008206496,0.000015045364,0.00009639687,0.0016175779,0.00003141662,0.00021528022,0.000151471,0.00005357042,0.001457403],"study_design_scores_gemma":[0.0000017377238,0.0000211111,0.99553853,0.0000125067445,0.000006714845,0.000045268727,0.004150815,0.00006491183,0.000021887916,0.000043059084,0.00009113271,0.00000215185],"about_ca_topic_score_codex":0.08341787,"about_ca_topic_score_gemma":0.22813466,"teacher_disagreement_score":0.08341787,"about_ca_system_score_codex":0.0009592679,"about_ca_system_score_gemma":0.0010321465,"threshold_uncertainty_score":0.16586465},"labels":[],"label_agreement":null},{"id":"W2140620784","doi":"10.1016/j.fishres.2007.05.002","title":"Bait loss and its potential effects on fishing power in pelagic longline fisheries","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Killam Trusts; Pew Charitable Trusts","keywords":"Pelagic zone; Tuna; Fishing; Fishery; Abundance (ecology); Hook; Environmental science; Squid; Swordfish; Oceanography; Biology; Fish ; Geology","score_opus":0.02423165836948668,"score_gpt":0.2993099385234036,"score_spread":0.2750782801539169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140620784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968988,0.0011311136,0.00015410373,0.00023698196,0.000009820511,0.0000043512396,0.00012705385,0.0000062583667,0.0014315051],"genre_scores_gemma":[0.9992987,0.00025163507,0.000048335267,0.00002526892,0.0000125951265,0.0000022347122,0.00004415455,0.0000019768663,0.0003151053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996302,0.0001420135,0.000036080353,0.000042351145,0.000069412396,0.000079893936],"domain_scores_gemma":[0.9959966,0.0022605238,0.0009806227,0.00014434422,0.00027289666,0.00034511174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010961174,0.00026231233,0.00032549415,0.00068555016,0.00043439193,0.0008699189,0.0004881509,0.0007542213,0.0025821934],"category_scores_gemma":[0.009934373,0.0001944963,0.00046359727,0.000691026,0.0008491125,0.0010507826,0.00048893626,0.00042516805,0.0002942095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006817631,0.0008945276,0.9399628,0.00010662473,0.00037473324,0.0009137696,0.00025354943,0.007172127,0.0039280728,0.0009105231,0.00059003703,0.038075525],"study_design_scores_gemma":[0.00002665307,0.0007696092,0.9927972,0.000010284241,0.00010587356,0.0005552818,0.00019955898,0.004336146,0.00046465098,0.0005091069,0.00021560995,0.000010065015],"about_ca_topic_score_codex":0.008718639,"about_ca_topic_score_gemma":0.0130554335,"teacher_disagreement_score":0.008718639,"about_ca_system_score_codex":0.0010261153,"about_ca_system_score_gemma":0.00036241536,"threshold_uncertainty_score":0.017335773},"labels":[],"label_agreement":null},{"id":"W2140911802","doi":"10.1016/j.fishres.2014.01.018","title":"Short-term survival of discarded target fish and non-target invertebrate species in the “eurocutter” beam trawl fishery of the southern North Sea","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Fishery; Invertebrate; Fish ; Term (time); Marine invertebrates; Oceanography; Geography; Biology; Environmental science; Geology; Physics","score_opus":0.033323895365598905,"score_gpt":0.25623171134333594,"score_spread":0.22290781597773704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140911802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99988806,0.000024391278,0.000002993181,0.0000039074084,0.000001027015,3.3559698e-7,0.00004015582,1.7256497e-7,0.000038905586],"genre_scores_gemma":[0.9993787,0.000029085706,0.0000069824005,0.000008585747,0.0000013615884,0.0000014764574,0.00017962274,4.0458133e-7,0.00039385195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999012,0.000012249401,0.00000809044,0.000024867368,0.000015942609,0.000037644408],"domain_scores_gemma":[0.9992761,0.00009659126,0.0002352839,0.000028213679,0.00008577407,0.00027804638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034795929,0.00020844559,0.00014331903,0.00034542408,0.0002929804,0.0003076143,0.00027978225,0.00039820187,0.0009562697],"category_scores_gemma":[0.0008372535,0.00012537673,0.00025421966,0.00023703223,0.00031344788,0.0004423123,0.0003370336,0.00036379794,0.00018522929],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083477737,0.00008395576,0.9959096,0.000007723093,0.000045493547,0.000109023174,0.00025428235,0.00012571778,0.0012181639,0.000013753442,0.000083195715,0.0013142789],"study_design_scores_gemma":[0.0000016408,0.0000918867,0.99958354,0.0000015950599,0.000008976471,0.000024361721,0.00016213485,0.000053093852,0.00004488646,0.0000040298614,0.000022121498,0.0000015790708],"about_ca_topic_score_codex":0.04264987,"about_ca_topic_score_gemma":0.11053044,"teacher_disagreement_score":0.04264987,"about_ca_system_score_codex":0.00062213803,"about_ca_system_score_gemma":0.000336926,"threshold_uncertainty_score":0.08480322},"labels":[],"label_agreement":null},{"id":"W2147846088","doi":"10.1016/j.fishres.2008.06.019","title":"Exploitation of specialised fisheries resources: The importance of hook size in recreational angling for large common carp (Cyprinus carpio L.)","year":2008,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ontario Ministry of Research and Innovation","keywords":"Fishing; Cyprinus; Fishery; Catch and release; Hook; Carp; Common carp; Recreational fishing; Context (archaeology); Biology; Fish ","score_opus":0.07096633272256199,"score_gpt":0.3116916382959141,"score_spread":0.24072530557335214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147846088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996075,0.000066288,0.000012818654,0.000027646129,9.435613e-7,9.3458146e-7,0.000023857923,5.807815e-7,0.00025946242],"genre_scores_gemma":[0.99952555,0.00006276124,0.00004759398,0.00001515276,0.000003553632,0.0000021069939,0.00003434398,0.0000011374306,0.00030771198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990237,0.000025495181,0.000007717774,0.000027799664,0.000015063906,0.000021605067],"domain_scores_gemma":[0.9990337,0.00019138986,0.00041294974,0.000053304248,0.000083564446,0.00022515263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029745494,0.00017603103,0.00010613263,0.0005116533,0.00022003707,0.00036358507,0.0002617415,0.000469955,0.0020254306],"category_scores_gemma":[0.0012295212,0.00015189378,0.00015833534,0.00027755473,0.0004894067,0.00043802868,0.0003571902,0.00028441055,0.00022855723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000465245,0.000102932216,0.9886868,0.000023171293,0.000027908523,0.00016078405,0.00027892148,0.00007703733,0.0032903543,0.00003454192,0.00014714902,0.0067051463],"study_design_scores_gemma":[6.276883e-7,0.000027092146,0.9997094,0.0000024090266,0.0000034723282,0.00005354851,0.000085593616,0.000046879075,0.000040563256,0.000007301069,0.00002177133,0.0000012785681],"about_ca_topic_score_codex":0.01228244,"about_ca_topic_score_gemma":0.05320182,"teacher_disagreement_score":0.01228244,"about_ca_system_score_codex":0.00029754118,"about_ca_system_score_gemma":0.0002437538,"threshold_uncertainty_score":0.02442187},"labels":[],"label_agreement":null},{"id":"W2149455865","doi":"10.1016/j.fishres.2015.10.028","title":"Stilt fisher knowledge in southern Sri Lanka as an expert system: A strategy towards co-management","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Sri lanka; Geography; Management strategy; Environmental resource management; Knowledge management; Business; Computer science; Environmental planning; Environmental science; Business administration","score_opus":0.1483903200429507,"score_gpt":0.38210252974270453,"score_spread":0.23371220969975384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149455865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96304065,0.00054095837,0.0072020274,0.0052564335,0.00003193123,0.0002549941,0.00032898434,0.00016679216,0.023177309],"genre_scores_gemma":[0.9830505,0.0003312054,0.010490071,0.0003098553,0.000026652684,0.00007200371,0.0003389152,0.000012555041,0.005368325],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99746716,0.0013971342,0.00023798927,0.00027587003,0.00034909789,0.00027283703],"domain_scores_gemma":[0.99017185,0.004663415,0.0008083885,0.0010468959,0.0020987547,0.001210719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006961389,0.00031514143,0.00031849317,0.0024513635,0.0016182362,0.0033604442,0.0015472914,0.0010548196,0.0048161456],"category_scores_gemma":[0.014004996,0.00022619357,0.0003551314,0.0010965796,0.00080525794,0.004517416,0.0028718463,0.0008084852,0.0005676819],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093297084,0.0016522249,0.4008149,0.00078610756,0.0003488155,0.0032177398,0.035340574,0.015619405,0.008857625,0.006762593,0.013123961,0.512543],"study_design_scores_gemma":[0.0003144248,0.0017812444,0.50766754,0.0013525544,0.001100918,0.0022072173,0.17588907,0.19931212,0.013332205,0.015703043,0.0809196,0.00042005212],"about_ca_topic_score_codex":0.08294202,"about_ca_topic_score_gemma":0.1741885,"teacher_disagreement_score":0.08294202,"about_ca_system_score_codex":0.0021963948,"about_ca_system_score_gemma":0.007838659,"threshold_uncertainty_score":0.16491848},"labels":[],"label_agreement":null},{"id":"W2150284207","doi":"10.1016/j.fishres.2007.06.002","title":"Evaluation of the interactive effects of air exposure duration and water temperature on the condition and survival of angled and released fish","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":165,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Carleton University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Fish ; Environmental science; Lepomis macrochirus; Animal science; Air temperature; Toxicology; Fish mortality; Fishing; Biology; Ecology; Fishery; Meteorology; Geography","score_opus":0.022209701083911966,"score_gpt":0.29458353812961785,"score_spread":0.2723738370457059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150284207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996935,0.000058442645,0.000076253535,0.000006110312,0.0000035254805,0.000005203266,0.000049131766,0.000002229587,0.00010557194],"genre_scores_gemma":[0.99883765,0.000070033384,0.00027719908,0.000015511374,0.00001103707,0.000019541549,0.00013980315,0.000005644769,0.0006235924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994313,0.00022787105,0.000036710113,0.0001208099,0.00008473298,0.00009859155],"domain_scores_gemma":[0.9963133,0.0026222882,0.00034141904,0.00011146669,0.00016035275,0.00045111947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070069847,0.00064549694,0.000509772,0.0003428462,0.00041377754,0.0006062317,0.00038781427,0.0004728693,0.0019897579],"category_scores_gemma":[0.0013804757,0.00029667126,0.0007956397,0.00031980977,0.00060997286,0.0005532441,0.00041124804,0.0007126776,0.00016087222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.10126768,0.009394442,0.4757567,0.0002797604,0.0014988354,0.0007375036,0.00065810035,0.0023445997,0.37827757,0.00017000527,0.00020021945,0.029414589],"study_design_scores_gemma":[0.0002206639,0.021197973,0.9456235,0.000004834589,0.0005658572,0.0001907239,0.00029698559,0.0016613348,0.029869048,0.00006315854,0.00027498102,0.00003095396],"about_ca_topic_score_codex":0.0031968032,"about_ca_topic_score_gemma":0.008142955,"teacher_disagreement_score":0.0031968032,"about_ca_system_score_codex":0.00047033836,"about_ca_system_score_gemma":0.00049447006,"threshold_uncertainty_score":0.0066564083},"labels":[],"label_agreement":null},{"id":"W2152014192","doi":"10.1016/j.fishres.2011.03.023","title":"The elasticity of fishing effort response and harvest outcomes to altered regulatory policies in eel (Anguilla anguilla) recreational angling","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Bundesministerium für Bildung und Forschung","keywords":"Fishing; Recreational fishing; Fishery; Recreation; Welfare; Business; Fisheries management; Anguillidae; Economics; Ecology; Fish ; Biology","score_opus":0.2774364343678637,"score_gpt":0.3055597656923766,"score_spread":0.02812333132451289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152014192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99968123,0.000008034904,0.000027183802,0.000022184002,6.1179185e-7,8.1442084e-7,0.00003265807,8.225763e-7,0.00022659749],"genre_scores_gemma":[0.99963176,0.000009550225,0.000014584187,0.000014839532,0.0000010508819,0.0000015772973,0.000059987477,0.0000010719583,0.0002654661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977356,0.00007375017,0.000020048015,0.000045609555,0.000018219627,0.00006880154],"domain_scores_gemma":[0.99677086,0.0017115095,0.0008180447,0.0001987479,0.00018339766,0.00031754735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089933636,0.000112416936,0.00014549945,0.00038097726,0.00020229217,0.0008279123,0.0002392681,0.0005649294,0.00291463],"category_scores_gemma":[0.0041693435,0.00026849515,0.00026759223,0.00026590354,0.000486853,0.0004659009,0.0004934328,0.0006848162,0.00030987107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005411079,0.00020472627,0.9900475,0.000008444737,0.00008322679,0.00013125504,0.00027311273,0.0035973988,0.0024079373,0.0004178541,0.00011633145,0.002171106],"study_design_scores_gemma":[0.0000026433688,0.000028381244,0.9974873,0.0000014108322,0.000006385131,0.000023367671,0.00024984442,0.0019521312,0.0000753695,0.00014238381,0.00002634451,0.0000043953182],"about_ca_topic_score_codex":0.026023936,"about_ca_topic_score_gemma":0.03445581,"teacher_disagreement_score":0.026023936,"about_ca_system_score_codex":0.0008861472,"about_ca_system_score_gemma":0.00023759768,"threshold_uncertainty_score":0.05174488},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2157349754","doi":"10.1016/j.fishres.2011.01.011","title":"Testing a new acoustic telemetry technique to quantify long-term, fine-scale movements of aquatic animals","year":2011,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":275,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vemco (Canada)","funders":"California State University Long Beach","keywords":"Synchronizing; Telemetry; Transmitter; Multilateration; Tracking (education); Computer science; Term (time); Scale (ratio); Synchronization (alternating current); Real-time computing; Range (aeronautics); Ranging; Simulation; Acoustics; Telecommunications; Engineering; Cartography; Physics; Geography","score_opus":0.1299435568602216,"score_gpt":0.34932726208650255,"score_spread":0.21938370522628095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157349754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91119325,0.00037168575,0.08549062,0.00016540822,0.0002582606,0.00033295143,0.00030078192,0.0001947105,0.0016923607],"genre_scores_gemma":[0.84545934,0.0005411615,0.14896008,0.00045177175,0.00012000101,0.00056355644,0.0003476309,0.00007202145,0.0034843497],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988519,0.00020057219,0.0000724159,0.00045406786,0.0003607615,0.000060214024],"domain_scores_gemma":[0.99631655,0.0020718502,0.00040339192,0.00025427056,0.00077824155,0.00017579447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001317666,0.00066345104,0.00033650256,0.0006105394,0.00032066123,0.00039797174,0.000793393,0.0014409133,0.0018714962],"category_scores_gemma":[0.0034248908,0.00041978856,0.0004500686,0.00041704037,0.0004889395,0.0014633617,0.0004932713,0.00056821696,0.0007099184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012539891,0.0019407701,0.054186888,0.00027814557,0.0001904891,0.0001111253,0.00042678282,0.00095448055,0.8260291,0.00018795053,0.0002668484,0.11417335],"study_design_scores_gemma":[0.0010031828,0.039459422,0.37090617,0.0000962853,0.0013835799,0.0038275367,0.0011050072,0.07257209,0.5016384,0.0008233896,0.006941106,0.00024375532],"about_ca_topic_score_codex":0.0020810864,"about_ca_topic_score_gemma":0.0035832555,"teacher_disagreement_score":0.0020810864,"about_ca_system_score_codex":0.00021438328,"about_ca_system_score_gemma":0.00043081882,"threshold_uncertainty_score":0.006968558},"labels":[],"label_agreement":null},{"id":"W2162468973","doi":"10.1016/j.fishres.2007.01.013","title":"The development of the northern European fishery for north Atlantic bluefin tuna Thunnus thynnus during 1900–1950","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Tuna; Fishery; Thunnus; Bycatch; Scombridae; Geography; Herring; Fishing; Biology; Fish ","score_opus":0.04081623078229686,"score_gpt":0.2789143905047302,"score_spread":0.23809815972243337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162468973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99282926,0.0009431107,0.00017287525,0.00014799883,0.000021482085,0.000005391834,0.00075587345,0.00000547243,0.005118482],"genre_scores_gemma":[0.99526054,0.00060256943,0.0002640518,0.000061752115,0.000016643957,0.000007410348,0.0008247297,0.000004840343,0.0029574446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978787,0.00002022239,0.000022066764,0.000064783955,0.000035652065,0.00006942427],"domain_scores_gemma":[0.9993901,0.000049854756,0.00019216185,0.00003131092,0.00020240668,0.00013408663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075782026,0.00026967964,0.00016911121,0.00142922,0.00074453605,0.0007860426,0.00029625552,0.0004561626,0.0021414836],"category_scores_gemma":[0.0012861493,0.00021893525,0.00028104224,0.00091328955,0.0006273782,0.00084340706,0.0009845387,0.00031671187,0.00038741],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003102097,0.00007253292,0.95365393,0.00013719797,0.00012498703,0.00057482906,0.002365583,0.00060977374,0.005004543,0.0018997266,0.0013907714,0.03385595],"study_design_scores_gemma":[0.0000014902331,0.000017074639,0.9964799,0.000013294976,0.000007974859,0.000094393225,0.00019150985,0.00008360862,0.00019250376,0.000046399775,0.0028686933,0.0000031953255],"about_ca_topic_score_codex":0.071896635,"about_ca_topic_score_gemma":0.18887015,"teacher_disagreement_score":0.071896635,"about_ca_system_score_codex":0.0017563492,"about_ca_system_score_gemma":0.0009739858,"threshold_uncertainty_score":0.14295632},"labels":[],"label_agreement":null},{"id":"W2163155274","doi":"10.1016/j.fishres.2014.03.016","title":"Do community supported fisheries (CSFs) improve sustainability?","year":2014,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Stanford University; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Sustainability; Fishing; Carbon footprint; Ecological footprint; Business; Stock (firearms); Fishery; Environmental resource management; Trophic level; Environmental impact assessment; Environmental science; Natural resource economics; Geography; Ecology; Greenhouse gas; Economics","score_opus":0.04308801487318647,"score_gpt":0.3322320174767249,"score_spread":0.2891440026035384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163155274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79081905,0.012511052,0.0019055973,0.11285368,0.0014108717,0.00017457025,0.0005681878,0.000092398615,0.079664625],"genre_scores_gemma":[0.9895811,0.0030740805,0.0015486411,0.0032649837,0.00023432997,0.00004394301,0.00006937001,0.000014647495,0.0021689371],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99551183,0.0025480103,0.00016619408,0.00026985558,0.00077713706,0.0007270456],"domain_scores_gemma":[0.9772872,0.009316129,0.0038351656,0.0017871144,0.004372007,0.0034024653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01235037,0.00039028507,0.00035412563,0.0012001998,0.0011543966,0.0030041472,0.0009829665,0.0024035184,0.010952943],"category_scores_gemma":[0.03503884,0.00016734115,0.00044978535,0.0017264098,0.0029804842,0.0042826612,0.0025631823,0.0008239006,0.00057111535],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008569121,0.0023429557,0.16544421,0.0010920161,0.00061249716,0.00023483232,0.0019501909,0.0008581609,0.0012931031,0.039300516,0.015726643,0.77028793],"study_design_scores_gemma":[0.0008811248,0.0042364895,0.681527,0.0055705113,0.0008954107,0.0005661388,0.031798087,0.0028600085,0.0034357484,0.14410615,0.12399464,0.00012866185],"about_ca_topic_score_codex":0.009120034,"about_ca_topic_score_gemma":0.030667983,"teacher_disagreement_score":0.01235037,"about_ca_system_score_codex":0.0017729738,"about_ca_system_score_gemma":0.006593712,"threshold_uncertainty_score":0.06531578},"labels":[],"label_agreement":null},{"id":"W2170379159","doi":"10.1016/j.fishres.2013.01.020","title":"No effect from rare-earth metal deterrent on shark bycatch in a commercial pelagic longline trial","year":2013,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Wildlife Fund Canada; Dalhousie University","funders":"Government of Canada","keywords":"Bycatch; Swordfish; Fishery; Pelagic zone; Fishing; Tuna; Environmental science; Biology; Fish ","score_opus":0.0413377625040702,"score_gpt":0.31535872346701704,"score_spread":0.2740209609629468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170379159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997551,0.000009042257,0.000013552785,0.000022882772,0.0000114047225,0.000013917514,0.000039713115,0.0000030916588,0.0001312651],"genre_scores_gemma":[0.99597895,0.00004724701,0.00014898862,0.00011826502,0.000025529524,0.00007871735,0.00018515196,0.0000107468495,0.0034064048],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9994199,0.00023031143,0.000047330417,0.00013497926,0.00006388153,0.0001036605],"domain_scores_gemma":[0.9965449,0.0006488386,0.00028185404,0.0003550478,0.00035643487,0.0018129218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008436301,0.0006851632,0.0009151232,0.00017415448,0.0010562832,0.00048343925,0.0006492603,0.0015830541,0.0039058435],"category_scores_gemma":[0.0026720136,0.00043083358,0.0004298614,0.00011703736,0.0010761855,0.00061350694,0.00055510254,0.0013220513,0.00046773785],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.6471141,0.03505488,0.06888051,0.00027952963,0.0009661184,0.0005262407,0.001197198,0.0007319512,0.22411044,0.00023047454,0.0016404006,0.019268218],"study_design_scores_gemma":[0.0144397225,0.6392888,0.28544062,0.00005227863,0.00092909345,0.00021493516,0.001128369,0.0022263722,0.053346086,0.0003351119,0.0024828643,0.000115752926],"about_ca_topic_score_codex":0.010838245,"about_ca_topic_score_gemma":0.034342516,"teacher_disagreement_score":0.010838245,"about_ca_system_score_codex":0.0006837936,"about_ca_system_score_gemma":0.0011382235,"threshold_uncertainty_score":0.021550298},"labels":[],"label_agreement":null},{"id":"W2170657694","doi":"10.1016/j.fishres.2012.08.003","title":"Movement and home range of introduced Nile perch (Lates niloticus) in Lake Nabugabo, Uganda: Implications for ecological divergence and fisheries management","year":2012,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lates; Fishery; Perch; Ecology; Wetland; Geography; Shore; Range (aeronautics); Ecotone; Fishing; Habitat; Fisheries management; Biology; Fish ","score_opus":0.05865990652631657,"score_gpt":0.2890720317623259,"score_spread":0.2304121252360093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170657694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999851,0.000017787426,0.000009423706,0.0000073535307,4.849569e-7,7.7737195e-7,0.000019857904,3.8846787e-7,0.00009282716],"genre_scores_gemma":[0.9996898,0.000027131277,0.000049305916,0.0000065245417,6.0176035e-7,0.000004324662,0.00003386116,4.781952e-7,0.00018788064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991524,0.000026689522,0.0000063268512,0.000018390612,0.000008536017,0.000024805588],"domain_scores_gemma":[0.99982977,0.000026717238,0.000058329162,0.000006703527,0.000025068,0.000053498854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016729695,0.00011667343,0.00012667892,0.000642439,0.0005922435,0.00032065055,0.00018960981,0.0002410176,0.0008553194],"category_scores_gemma":[0.00042879666,0.00014672297,0.000107532855,0.00040663627,0.00041264328,0.0003164942,0.0006122482,0.00020248108,0.00013929576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018786048,0.00006795925,0.98352814,0.000027554157,0.000030306623,0.00035250877,0.0065339007,0.00008666336,0.0030895532,0.00008207776,0.00019097069,0.0058224667],"study_design_scores_gemma":[0.0000030953343,0.000050121707,0.9953199,0.000007655147,0.000007724957,0.00016660553,0.004050229,0.000112541464,0.00006344177,0.000019302182,0.000195643,0.0000036166803],"about_ca_topic_score_codex":0.018921422,"about_ca_topic_score_gemma":0.078161485,"teacher_disagreement_score":0.018921422,"about_ca_system_score_codex":0.00047973898,"about_ca_system_score_gemma":0.00020002051,"threshold_uncertainty_score":0.03762257},"labels":[],"label_agreement":null},{"id":"W2171632154","doi":"10.1016/j.fishres.2006.12.009","title":"Rise and fall of fishing and marine resource use in the Wadden Sea, southern North Sea","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fishery; Overfishing; Fishing; Geography; Overexploitation; Marine ecosystem; Habitat; Commercial fishing; Ecosystem; Ecology; Biology","score_opus":0.04970496418948144,"score_gpt":0.2848661155328296,"score_spread":0.23516115134334814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171632154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99947006,0.000060323215,0.000010029066,0.000040781397,0.0000029551245,7.180056e-7,0.00008041327,0.0000012879202,0.00033343758],"genre_scores_gemma":[0.9990301,0.00006316313,0.000026970656,0.000025426825,0.000004308014,0.0000021656085,0.00019370153,0.0000018602653,0.00065226306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998373,0.000028339793,0.000022987544,0.000038511953,0.000029710416,0.000043194854],"domain_scores_gemma":[0.99938285,0.00014765383,0.00019393317,0.00002699086,0.00009124135,0.00015724596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036918043,0.00015986146,0.00026756877,0.0008410572,0.0006779769,0.0008177949,0.00036128785,0.0006842473,0.0015492965],"category_scores_gemma":[0.0013701937,0.0002866761,0.0003534376,0.001127195,0.0009132618,0.00082128803,0.0006734713,0.0005441679,0.00028534813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004066797,0.00003821856,0.9937336,0.000022663406,0.000048240963,0.00023879972,0.0013557352,0.00033545762,0.0009114459,0.00013254877,0.0002034964,0.0025732294],"study_design_scores_gemma":[0.0000027815468,0.000023494238,0.99874485,0.0000036663757,0.0000053719255,0.000030637617,0.0008040679,0.00011469878,0.000034583434,0.00003625526,0.00019719062,0.0000024120884],"about_ca_topic_score_codex":0.1410764,"about_ca_topic_score_gemma":0.3546933,"teacher_disagreement_score":0.1410764,"about_ca_system_score_codex":0.0008927836,"about_ca_system_score_gemma":0.00067360705,"threshold_uncertainty_score":0.2805105},"labels":[],"label_agreement":null},{"id":"W2215052854","doi":"10.1016/j.fishres.2015.09.010","title":"The adaptation of acoustic data from commercial fishing vessels in resource assessment and ecosystem monitoring","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishing; Adaptation (eye); Commercial fishing; Fishery; Resource (disambiguation); Ecosystem; Environmental science; Environmental resource management; Oceanography; Geography; Ecology; Computer science; Geology; Biology","score_opus":0.301320434558839,"score_gpt":0.40003069111529377,"score_spread":0.09871025655645477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215052854","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27587083,0.3091278,0.23429117,0.040817104,0.0054559372,0.0015890521,0.011355138,0.00093398767,0.12055894],"genre_scores_gemma":[0.62067056,0.18615489,0.16557235,0.0069523198,0.0047571845,0.0011104494,0.004697999,0.00028010822,0.009804173],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.989407,0.005022502,0.0009626077,0.0018403281,0.0024070241,0.0003605124],"domain_scores_gemma":[0.9566229,0.021752803,0.0033076238,0.0036458839,0.013892614,0.00077824405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029935153,0.0013343908,0.00078784314,0.006148937,0.00039257095,0.003636619,0.0018888282,0.0019146384,0.00152812],"category_scores_gemma":[0.032621857,0.0006935459,0.001159513,0.00577352,0.0012920421,0.005172072,0.002796945,0.0020484584,0.000754304],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020094836,0.00012985874,0.13158768,0.0015774664,0.00065378804,0.000086882406,0.00055464916,0.0028023138,0.00511659,0.0027682374,0.005065661,0.8494559],"study_design_scores_gemma":[0.000077566765,0.0011864909,0.72285986,0.0052658925,0.001724756,0.0015984216,0.003702376,0.011640719,0.009994027,0.013718339,0.22785138,0.0003802126],"about_ca_topic_score_codex":0.011747822,"about_ca_topic_score_gemma":0.021905767,"teacher_disagreement_score":0.029935153,"about_ca_system_score_codex":0.001306638,"about_ca_system_score_gemma":0.0016916904,"threshold_uncertainty_score":0.15831411},"labels":[],"label_agreement":null},{"id":"W2255122052","doi":"10.1016/j.fishres.2016.01.002","title":"An integrated stock assessment for red spiny lobster (Panulirus penicillatus) from the Galapagos Marine Reserve","year":2016,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Spiny lobster; Fishery; Fishing; Stock assessment; Marine reserve; Geography; Fisheries management; Population; Stock (firearms); Biology; Crustacean","score_opus":0.07885653422043415,"score_gpt":0.35988363389827493,"score_spread":0.2810270996778408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255122052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882704,0.00004369281,0.00007808676,0.000020495874,0.0000014808925,0.000008177848,0.0005494439,0.00000464156,0.0004669736],"genre_scores_gemma":[0.99812347,0.00004180971,0.00029955248,0.000016149916,0.000001633738,0.000009096214,0.0010531379,0.0000019497793,0.0004530434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999841,0.000025226516,0.000015117379,0.000036967343,0.00004921133,0.00003248634],"domain_scores_gemma":[0.99960655,0.000036107038,0.00007590692,0.000035160832,0.00014321963,0.00010305792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050390465,0.00036008918,0.00024672635,0.0020977596,0.00024509756,0.0006091537,0.00049647706,0.00029493828,0.00072816416],"category_scores_gemma":[0.00065066834,0.00015963602,0.0002298387,0.001031678,0.00019692068,0.00044902685,0.0009240928,0.00016772165,0.00013158434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018024827,0.00007053342,0.9816421,0.000023549655,0.00019921224,0.0002624886,0.00027504296,0.0019892692,0.0024706216,0.00007481453,0.0003461542,0.012465986],"study_design_scores_gemma":[0.00001490901,0.000065000684,0.99587977,0.000010826817,0.00008282061,0.000072332274,0.0004846358,0.002671922,0.0002743242,0.0000363262,0.0004021007,0.000005049363],"about_ca_topic_score_codex":0.0961005,"about_ca_topic_score_gemma":0.18636021,"teacher_disagreement_score":0.0961005,"about_ca_system_score_codex":0.0009906117,"about_ca_system_score_gemma":0.00063227216,"threshold_uncertainty_score":0.1910823},"labels":[],"label_agreement":null},{"id":"W2396477456","doi":"10.1016/j.fishres.2016.04.018","title":"Best practices for catch-and-release recreational fisheries – angling tools and tactics","year":2016,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":285,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Institute of Food and Agriculture; Academy of Finland; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fishing; Recreation; Catch and release; Recreational fishing; Fishery; Best practice; Fisheries management; Business; Diversity (politics); Bycatch; Environmental resource management; Ecology; Environmental science; Economics; Biology; Political science","score_opus":0.17594402650701552,"score_gpt":0.37374096645383925,"score_spread":0.19779693994682374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396477456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60585153,0.052687194,0.09256866,0.04800005,0.0013272426,0.0011080139,0.00060449255,0.0006685315,0.19718432],"genre_scores_gemma":[0.822683,0.011333335,0.15217607,0.0014662571,0.0001722679,0.00044486878,0.0002692238,0.00011240205,0.0113425525],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.988306,0.00509724,0.0009609049,0.0007895193,0.004070753,0.0007755252],"domain_scores_gemma":[0.98966086,0.0029163004,0.0018052355,0.0016142337,0.002984388,0.0010189655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011345529,0.0007080333,0.00039659694,0.0030253788,0.0022318636,0.003080195,0.0025874353,0.0014940447,0.004274136],"category_scores_gemma":[0.018537834,0.00034953456,0.0005135341,0.0016599915,0.0012455685,0.0030162956,0.0020294974,0.0012970633,0.0012215822],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018366361,0.00104609,0.033672787,0.0008958971,0.0001374221,0.0002696551,0.0042520505,0.0019624622,0.0033256833,0.0051713437,0.006774498,0.94230855],"study_design_scores_gemma":[0.00025294977,0.0044999975,0.47502038,0.016623743,0.0011004263,0.0052969707,0.06374924,0.009128321,0.022440929,0.05926098,0.34209538,0.0005307392],"about_ca_topic_score_codex":0.00820379,"about_ca_topic_score_gemma":0.039451603,"teacher_disagreement_score":0.011345529,"about_ca_system_score_codex":0.0022861464,"about_ca_system_score_gemma":0.0041202395,"threshold_uncertainty_score":0.06000167},"labels":[],"label_agreement":null},{"id":"W2439615872","doi":"10.1016/j.fishres.2016.06.001","title":"Assessing population recovery inside British Columbia’s Rockfish Conservation Areas with a remotely operated vehicle","year":2016,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rockfish; Demersal fish; Fishery; Groundfish; Fishing; Demersal zone; Population; Marine reserve; Marine protected area; Geography; Overfishing; Habitat; Transect; Ecology; Fisheries management; Biology; Fish ; Demography","score_opus":0.04777799955575227,"score_gpt":0.28677746084838296,"score_spread":0.2389994612926307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2439615872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892694,0.000013524677,0.00006473415,0.000023998877,0.0000015179072,0.000010826658,0.00009357961,0.0000035617506,0.00086133234],"genre_scores_gemma":[0.9987264,0.000018389586,0.0002055444,0.000010119121,0.0000011335595,0.000010178393,0.0001957736,0.0000015260739,0.0008307636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943584,0.000118867945,0.000020924472,0.00009707929,0.00017404389,0.00015314635],"domain_scores_gemma":[0.99895895,0.0001777438,0.0002450704,0.000093991,0.00035970387,0.00016451678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058762275,0.0002312662,0.00018202524,0.000690426,0.0010794762,0.00063030474,0.00085541955,0.00040321314,0.00105478],"category_scores_gemma":[0.0022732378,0.00020462686,0.00018404359,0.000747838,0.000561729,0.00050430617,0.0007367897,0.00045833105,0.00021314305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003753116,0.00028533742,0.9641706,0.000021003587,0.00011872874,0.000262899,0.001265943,0.0043904847,0.0012622493,0.00010823352,0.0012153777,0.026523896],"study_design_scores_gemma":[0.000009623301,0.00011788438,0.9930934,0.000009699535,0.000027854734,0.00003729815,0.002296431,0.0037337316,0.00020125533,0.000026263255,0.0004394492,0.000007031908],"about_ca_topic_score_codex":0.80314195,"about_ca_topic_score_gemma":0.93261003,"teacher_disagreement_score":0.19685805,"about_ca_system_score_codex":0.003935314,"about_ca_system_score_gemma":0.0025259098,"threshold_uncertainty_score":0.39603472},"labels":[],"label_agreement":null},{"id":"W2478773429","doi":"10.1016/j.fishres.2016.07.012","title":"Evaluating the consequences of catch-and-release recreational angling on golden dorado (Salminus brasiliensis) in Salta, Argentina","year":2016,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Catch and release; Fish ; Animal science; Fishery; Recreational fishing; Toxicology; Biology","score_opus":0.125160834418534,"score_gpt":0.3826325800333358,"score_spread":0.2574717456148018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478773429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995359,0.00001733026,0.000022052094,0.000014016055,0.0000014768066,0.0000039311303,0.00007225564,7.5114707e-7,0.00033240134],"genre_scores_gemma":[0.99932015,0.000045273755,0.00008095387,0.000012453418,0.0000011515095,0.000006632676,0.00012885158,7.813134e-7,0.00040368477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998147,0.000036507765,0.00001045961,0.00004145157,0.000041554642,0.00005531382],"domain_scores_gemma":[0.9996375,0.000045615263,0.000120117766,0.000015602649,0.000077348006,0.000103826445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002673102,0.00024087404,0.00018057246,0.000339471,0.00041475633,0.00029194594,0.0002698504,0.0002699469,0.00068267103],"category_scores_gemma":[0.00053488556,0.000099903635,0.000174758,0.0002531921,0.00035779158,0.0001620163,0.00034247444,0.00016763885,0.00008888687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017887128,0.00014958074,0.99130356,0.000022304484,0.000045281977,0.00035403986,0.0003594451,0.00049616717,0.0028278725,0.000055734177,0.00018495134,0.0040221214],"study_design_scores_gemma":[0.0000028562729,0.0000975569,0.9983271,0.0000039084916,0.000012043998,0.000030093273,0.00091393554,0.00035467825,0.00010082816,0.000015372942,0.00013976486,0.0000020090374],"about_ca_topic_score_codex":0.20179033,"about_ca_topic_score_gemma":0.6419371,"teacher_disagreement_score":0.20179033,"about_ca_system_score_codex":0.0015680762,"about_ca_system_score_gemma":0.0006663767,"threshold_uncertainty_score":0.4012316},"labels":[],"label_agreement":null},{"id":"W2479235919","doi":"10.1016/j.fishres.2016.06.023","title":"Predicting changes in the catchability coefficient through effort sorting as less skilled fishers exit the fishery during stock declines","year":2016,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Forests; University of British Columbia; Ministry of Environment","funders":"Natural Sciences and Engineering Research Council of Canada; Freshwater Fisheries Society of British Columbia; University of Calgary","keywords":"Fishing; Fishery; Catch per unit effort; Stock assessment; Stock (firearms); Fisheries management; Sorting; Fish stock; Bycatch; Recreational fishing; sort; Environmental science; Geography; Computer science; Biology","score_opus":0.06271146142701123,"score_gpt":0.3261282198009376,"score_spread":0.26341675837392636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2479235919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999724,0.00000609939,0.00010401333,0.000008525526,0.0000011222768,0.0000016730411,0.00005758219,0.0000019393128,0.000095093106],"genre_scores_gemma":[0.9992889,0.000011330915,0.00020278456,0.000006608168,0.0000014728457,0.0000026874297,0.00024963132,0.0000015953623,0.00023496112],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.00003614134,0.000014586973,0.000042988544,0.000020904201,0.000047459485],"domain_scores_gemma":[0.9969193,0.0015570534,0.0007122856,0.00015686938,0.00031508645,0.00033943137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009584305,0.00026523106,0.0001989821,0.00087319507,0.00023697823,0.00063642557,0.00031963998,0.0005201039,0.0011091316],"category_scores_gemma":[0.0052086287,0.00023725562,0.0003316961,0.0005203449,0.00017715344,0.00053223537,0.00031724587,0.0005092184,0.0003155178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046800997,0.000029414508,0.9977276,0.0000011498971,0.000015624833,0.000008545705,0.000024134506,0.00074597984,0.00014378212,0.000011778023,0.000032753975,0.0012124914],"study_design_scores_gemma":[0.0000028445236,0.00005097164,0.9919966,0.000002029631,0.000011938239,0.000016869897,0.00011293195,0.0075960276,0.00012956184,0.00003508362,0.000042608066,0.0000025522668],"about_ca_topic_score_codex":0.030020041,"about_ca_topic_score_gemma":0.044433407,"teacher_disagreement_score":0.030020041,"about_ca_system_score_codex":0.0003076759,"about_ca_system_score_gemma":0.00026359368,"threshold_uncertainty_score":0.059690595},"labels":[],"label_agreement":null},{"id":"W2526999781","doi":"10.1016/j.fishres.2016.09.008","title":"Multi-scale quantification of the effects of temperature on size at maturity in the American lobster ( Homarus americanus )","year":2016,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huntsman Marine Science Centre","funders":"","keywords":"Homarus; American lobster; Maturity (psychological); Fishery; Scale (ratio); Environmental science; Biology; Oceanography; Geography; Crustacean; Geology; Cartography; Psychology","score_opus":0.027540009000000108,"score_gpt":0.3029107988823815,"score_spread":0.2753707898823814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526999781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946374,0.000040725645,0.00031091672,0.0000040511677,0.0000012851993,0.0000014773142,0.000052926935,0.0000059334934,0.00011889303],"genre_scores_gemma":[0.9995223,0.000017963343,0.00025918387,0.000006415339,0.0000017062771,0.0000052263194,0.00006919679,0.000004985367,0.00011312382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999167,0.00001482571,0.0000031146515,0.000037480062,0.000016591548,0.000011372904],"domain_scores_gemma":[0.9995189,0.0001791325,0.00014702669,0.00004579893,0.00005736688,0.00005182231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020103484,0.00013985434,0.00019478601,0.0003481466,0.00016505932,0.0002392323,0.00017864277,0.00021637625,0.0003769975],"category_scores_gemma":[0.00046008546,0.00016967588,0.00020063538,0.00017035594,0.00020504794,0.00028414925,0.00037115804,0.0002747843,0.00010252232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010298651,0.0001766413,0.5676754,0.00005872389,0.00019088225,0.000072019146,0.00028905214,0.0041480176,0.40776095,0.0000898781,0.00018203101,0.018326541],"study_design_scores_gemma":[0.0000017850163,0.000048790134,0.9960634,0.0000010433725,0.0000146671255,0.000020026526,0.00003832271,0.0013631473,0.00239454,0.000014633914,0.000035983485,0.0000036458912],"about_ca_topic_score_codex":0.0033601837,"about_ca_topic_score_gemma":0.008261532,"teacher_disagreement_score":0.0033601837,"about_ca_system_score_codex":0.00023654796,"about_ca_system_score_gemma":0.000093312,"threshold_uncertainty_score":0.0066812634},"labels":[],"label_agreement":null},{"id":"W2538531048","doi":"10.1016/j.fishres.2016.10.001","title":"Influence of hook type and live bait on the hooking performance of inline spinners in the context of catch-and-release brook trout Salvelinus fontinalis fishing in lakes","year":2016,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Carleton University","funders":"National Institute of Food and Agriculture; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Ministry of Natural Resources and Forestry; New York State Department of Environmental Conservation","keywords":"Hook; Fontinalis; Fishing; Salvelinus; Catch and release; Fishery; Trout; Biology; Ecology; Fish ; Medicine","score_opus":0.02921309460363381,"score_gpt":0.2733338262833345,"score_spread":0.24412073167970072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538531048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9999348,0.000010298549,0.0000026321586,0.0000034439345,5.50948e-7,2.5818477e-7,0.000007235741,2.1599357e-7,0.000040584673],"genre_scores_gemma":[0.9997615,0.000012034441,0.000009622944,0.0000060572497,0.0000014220277,7.20808e-7,0.000022471975,6.12228e-7,0.00018550806],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983776,0.000047779915,0.0000139593285,0.000034505087,0.000018713006,0.000047266745],"domain_scores_gemma":[0.999131,0.00017904745,0.0002613957,0.000029660534,0.00006141833,0.00033733467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003107678,0.00018230351,0.00018673234,0.00018940869,0.00027843178,0.00043602797,0.00017597161,0.00026056328,0.0013149864],"category_scores_gemma":[0.00096035015,0.00015521115,0.00022228048,0.0001384859,0.00033590896,0.00026125507,0.0002576974,0.00027757118,0.00014774757],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014540256,0.00023180417,0.9887474,0.000014637723,0.000086640204,0.00018516288,0.00032806463,0.00012943549,0.0073561943,0.000019309047,0.000050948795,0.0013964344],"study_design_scores_gemma":[0.0000025814156,0.00018492548,0.99931896,0.0000010499841,0.000016627157,0.000023377204,0.00019921018,0.000083025894,0.00015133189,0.0000048464362,0.00001249062,0.0000015951076],"about_ca_topic_score_codex":0.01279659,"about_ca_topic_score_gemma":0.05074966,"teacher_disagreement_score":0.01279659,"about_ca_system_score_codex":0.0005085645,"about_ca_system_score_gemma":0.0003349252,"threshold_uncertainty_score":0.02544421},"labels":[],"label_agreement":null},{"id":"W2563043316","doi":"10.1016/j.fishres.2016.12.004","title":"Reconciling catch differences from multiple fishery independent gill net surveys","year":2016,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"U.S. Geological Survey","keywords":"Fishery; Stock assessment; Netting; Fishing; Ecology; Environmental science; Geography; Biology","score_opus":0.08670291697158121,"score_gpt":0.2879139215722334,"score_spread":0.20121100460065217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563043316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98552656,0.0008735882,0.010473925,0.00052101613,0.00016552789,0.000017440858,0.0007140335,0.000076268014,0.0016316527],"genre_scores_gemma":[0.9959008,0.00008560819,0.0027525339,0.00015231097,0.000039158458,0.000010405081,0.0007282254,0.00004131554,0.00028951987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99212134,0.0040590377,0.00056204275,0.0014209492,0.0011227757,0.0007139302],"domain_scores_gemma":[0.98005277,0.010838732,0.002917319,0.003124968,0.002616515,0.00044971972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01091486,0.0008208346,0.0008970637,0.0018084007,0.0005513589,0.0017416195,0.001233976,0.0012713925,0.0010497766],"category_scores_gemma":[0.033117488,0.0005648365,0.0009733541,0.0018588364,0.0005228357,0.0014534247,0.0018845012,0.0007943802,0.00036159402],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008470984,0.00008244659,0.9533913,0.00009204804,0.003238094,0.00029365814,0.00043334244,0.0025638063,0.0069912854,0.0008284687,0.0014053315,0.029833084],"study_design_scores_gemma":[0.000040513496,0.00014383883,0.9840571,0.000036329257,0.0011095946,0.0004091398,0.00058946817,0.0077636754,0.0021735043,0.002253471,0.0013884628,0.00003488949],"about_ca_topic_score_codex":0.0037105584,"about_ca_topic_score_gemma":0.011119396,"teacher_disagreement_score":0.01091486,"about_ca_system_score_codex":0.00066908484,"about_ca_system_score_gemma":0.00047063327,"threshold_uncertainty_score":0.057724},"labels":[],"label_agreement":null},{"id":"W2593528434","doi":"10.1016/j.fishres.2017.02.014","title":"Spatial synchronicity in recruitment of Atlantic cod ( Gadus morhua ) stocks off Newfoundland and Labrador and the Flemish Cap","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"","keywords":"Gadus; Flemish; Synchronicity; Atlantic cod; Fishery; Geography; Oceanography; Geology; Biology; Fish ; Archaeology","score_opus":0.06915901499534718,"score_gpt":0.3350224529308374,"score_spread":0.26586343793549017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593528434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99966455,0.000025280777,0.000019920031,0.000017379532,0.000001481552,7.3568975e-7,0.000081297025,0.000001242171,0.0001881269],"genre_scores_gemma":[0.99972004,0.000011409763,0.000019526402,0.000005330453,0.0000015454442,0.0000012880827,0.00010170748,0.0000010677064,0.00013809757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997937,0.00003006761,0.00001575796,0.00007022836,0.000021714546,0.000068590205],"domain_scores_gemma":[0.9985172,0.0003406177,0.0004909191,0.000115515606,0.0002906245,0.00024508307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040358596,0.000084431456,0.00020072455,0.00097383786,0.00048725551,0.00066241896,0.00039877737,0.00025146978,0.0013948824],"category_scores_gemma":[0.0018192944,0.00022215673,0.0001759191,0.0007792023,0.00081191503,0.0003788202,0.00072644284,0.00022621923,0.00014756215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016030455,0.000014778787,0.9948821,0.000008055618,0.000045433655,0.000048669575,0.0005571544,0.0003376457,0.0017025108,0.0000818121,0.00014645827,0.0020150982],"study_design_scores_gemma":[0.0000012249925,0.0000058115543,0.9996012,0.0000012790443,0.0000040277077,0.0000086289365,0.000217721,0.000092514834,0.00002251887,0.000005761678,0.0000384193,0.0000010190266],"about_ca_topic_score_codex":0.3184824,"about_ca_topic_score_gemma":0.6349568,"teacher_disagreement_score":0.6815176,"about_ca_system_score_codex":0.0016283102,"about_ca_system_score_gemma":0.0009131495,"threshold_uncertainty_score":0.63325727},"labels":[],"label_agreement":null},{"id":"W2600530559","doi":"10.1016/j.fishres.2017.01.008","title":"When does fishing forage species affect their predators?","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of Washington","keywords":"Forage fish; Trophic level; Forage; Fishing; Predation; Abundance (ecology); Biology; Fishery; Ecosystem-based management; Ecology; Trophic cascade; Predatory fish; Ecosystem; Food web","score_opus":0.07645994269493976,"score_gpt":0.32469961275310405,"score_spread":0.24823967005816427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600530559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982144,0.002153917,0.0005706011,0.0033211114,0.00005335919,0.000012223985,0.00033276583,0.000009961752,0.0114020575],"genre_scores_gemma":[0.997988,0.0006003431,0.00016585618,0.00032531773,0.00002729247,0.0000042306797,0.000059966613,0.0000036889382,0.000825386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995845,0.00014893564,0.000023710802,0.000090418405,0.000059113827,0.00009337236],"domain_scores_gemma":[0.9970239,0.0013536634,0.00078091555,0.00014990511,0.00034629906,0.00034535056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099211,0.00015360721,0.0003879224,0.00046539336,0.00048954785,0.0012915141,0.00037510306,0.0007853635,0.004196774],"category_scores_gemma":[0.006640176,0.00019224692,0.00030749055,0.0004550868,0.0005733463,0.0014665799,0.00047690552,0.0004599929,0.00047681326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009089323,0.000042162545,0.9740946,0.00006986453,0.00017408688,0.0002165534,0.00051246624,0.00040158126,0.0007861451,0.0013172543,0.0010256957,0.021268634],"study_design_scores_gemma":[0.0000026655237,0.00003032185,0.99490875,0.000025845506,0.000047955116,0.000110462934,0.0010689228,0.0005954299,0.00013013554,0.0020021691,0.0010701192,0.000007096968],"about_ca_topic_score_codex":0.01465698,"about_ca_topic_score_gemma":0.02605008,"teacher_disagreement_score":0.01465698,"about_ca_system_score_codex":0.0008735367,"about_ca_system_score_gemma":0.00034378606,"threshold_uncertainty_score":0.029143333},"labels":[],"label_agreement":null},{"id":"W2611680650","doi":"10.1016/j.fishres.2017.04.004","title":"Bomb radiocarbon analyses validate and inform age determination of longnose skate (Raja rhina) and big skate (Beringraja binoculata) in the north Pacific Ocean","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Marine Fisheries Service; Fisheries and Oceans Canada; North Pacific Research Board","keywords":"Skate; Raja; Otolith; Fishery; Oceanography; Radiocarbon dating; Bay; Geography; Archaeology; Geology; Biology; Fish ; Paleontology","score_opus":0.115832089062487,"score_gpt":0.36170892771286056,"score_spread":0.24587683865037357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611680650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940999,0.0002707147,0.00067237666,0.000041174804,0.000020806861,0.000012324954,0.00057738443,0.000014802559,0.004290438],"genre_scores_gemma":[0.9947448,0.00032408463,0.0018617102,0.00008113141,0.000012109423,0.00001755748,0.00090895244,0.00002816594,0.0020215283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993699,0.00010205423,0.00007528582,0.00015183212,0.0001809711,0.00011996817],"domain_scores_gemma":[0.997141,0.00032651678,0.00083884393,0.0002954594,0.0011888485,0.00020934852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011694195,0.0004001872,0.00026460062,0.0020131012,0.0009886567,0.0010865704,0.00055906817,0.0003885912,0.0012022703],"category_scores_gemma":[0.0030266922,0.0003681421,0.00021591606,0.0009521382,0.00082870113,0.0010328714,0.0012347308,0.00041431296,0.0007880608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006783641,0.000020407577,0.97881776,0.000024365509,0.000051906783,0.00004791175,0.00085453445,0.00020349247,0.0057219407,0.00009779331,0.0002197074,0.013872415],"study_design_scores_gemma":[0.0000021601866,0.000018404766,0.99627703,0.000011197249,0.00003334396,0.000045194774,0.00096192793,0.0002650472,0.000818662,0.0000555254,0.0015059889,0.0000055402816],"about_ca_topic_score_codex":0.11354025,"about_ca_topic_score_gemma":0.39926162,"teacher_disagreement_score":0.11354025,"about_ca_system_score_codex":0.0008765323,"about_ca_system_score_gemma":0.0012003697,"threshold_uncertainty_score":0.22575873},"labels":[],"label_agreement":null},{"id":"W2617279873","doi":"10.1016/j.fishres.2017.05.012","title":"Prevalence and description of Ichthyophonus sp. in yellowtail flounder (Limanda ferruginea) from a seasonal survey on Georges Bank","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Limanda; Fishery; Flounder; Biology; Parasite hosting; Zoology; Fish ; Flatfish","score_opus":0.12391152663174626,"score_gpt":0.3914125161966819,"score_spread":0.2675009895649356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617279873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994117,0.000054524142,0.000011518453,0.0000096373815,0.0000012457762,0.000007896618,0.00020807963,0.0000013000022,0.00029417567],"genre_scores_gemma":[0.9989166,0.00015834927,0.00009335545,0.00002117405,0.000002540943,0.000012103794,0.00033500715,6.273927e-7,0.00046032525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999118,0.000008423959,0.000010040276,0.000021470689,0.0000205197,0.000027831786],"domain_scores_gemma":[0.9997712,0.000013771132,0.00009348468,0.000008506931,0.000042608466,0.000070453585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015129245,0.00022869412,0.0001241266,0.001235016,0.0004235911,0.00025962567,0.00017143876,0.00024079804,0.00062968413],"category_scores_gemma":[0.00023793521,0.00018921106,0.00015458462,0.0005648502,0.0004756573,0.0001907393,0.0003124141,0.00015796829,0.00014578513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016089376,0.000012255733,0.9937163,0.000012909129,0.000008097062,0.0001931763,0.0005058317,0.000013172455,0.004231146,0.000009343485,0.000078379075,0.0012033033],"study_design_scores_gemma":[2.8866114e-7,0.000019221221,0.99943334,0.000002809386,0.0000021481476,0.000096072115,0.00029211934,0.000007212125,0.000074936084,0.0000010831272,0.00007011232,6.9507547e-7],"about_ca_topic_score_codex":0.08094985,"about_ca_topic_score_gemma":0.23754145,"teacher_disagreement_score":0.08094985,"about_ca_system_score_codex":0.0005590237,"about_ca_system_score_gemma":0.00048131926,"threshold_uncertainty_score":0.16095734},"labels":[],"label_agreement":null},{"id":"W2659458587","doi":"10.1016/j.fishres.2017.06.005","title":"Distributional performance of a territorial use rights and co-managed small-scale fishery","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Fishing; Fishery; Revenue; Equity (law); Spiny lobster; Index (typography); Distribution (mathematics); Business; Economics; Geography; Finance; Biology","score_opus":0.06611528008378696,"score_gpt":0.30037324233639295,"score_spread":0.23425796225260598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2659458587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998035,0.0000029910643,0.000009351353,0.0000048314673,6.42194e-7,5.8850895e-7,0.000012918312,5.7579626e-7,0.00016466183],"genre_scores_gemma":[0.9995845,0.00000268157,0.000014747299,0.0000032393605,7.8326156e-7,0.0000017212286,0.000036928122,6.1725416e-7,0.00035475366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971694,0.00007449292,0.000022006732,0.00006876649,0.000040388742,0.000077311815],"domain_scores_gemma":[0.9983463,0.0005384864,0.00036092915,0.0001653821,0.00017239037,0.00041633594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006915573,0.00013996108,0.00025667806,0.00040645234,0.00030481114,0.00051564723,0.0003464131,0.0003619591,0.0030400713],"category_scores_gemma":[0.002546316,0.00009485988,0.00024002211,0.00023992213,0.0004711387,0.0006628395,0.00077421404,0.00021955486,0.00028583905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040074545,0.0011964557,0.9692665,0.000013275434,0.00019544606,0.00025166833,0.00040643464,0.005599378,0.0075639887,0.0007507062,0.00040417133,0.010344389],"study_design_scores_gemma":[0.000033900527,0.0012583412,0.9880896,0.0000027874794,0.000047803303,0.000082347695,0.0006091711,0.008494072,0.0009027761,0.00025344518,0.00021477183,0.000011042066],"about_ca_topic_score_codex":0.013899935,"about_ca_topic_score_gemma":0.02313275,"teacher_disagreement_score":0.013899935,"about_ca_system_score_codex":0.0005638185,"about_ca_system_score_gemma":0.00027788177,"threshold_uncertainty_score":0.027638018},"labels":[],"label_agreement":null},{"id":"W2759611740","doi":"10.1016/j.fishres.2017.09.017","title":"A multispecies catch-ratio estimator of relative stock depletion","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fisheries and Oceans Canada","keywords":"Estimator; Stock assessment; Stock (firearms); Fishing; Econometrics; Ratio estimator; Statistics; Efficiency; Environmental science; Bias of an estimator; Mathematics; Minimum-variance unbiased estimator; Fishery; Biology; Geography","score_opus":0.10203413906069395,"score_gpt":0.36624988807776193,"score_spread":0.264215749017068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759611740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6724016,0.001246058,0.31930232,0.0002096304,0.00011775179,0.00013836127,0.001925097,0.0005572557,0.0041019223],"genre_scores_gemma":[0.92838836,0.00019244393,0.06895089,0.00006971831,0.00008678571,0.000080268255,0.00087498035,0.000036082223,0.0013205801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984819,0.0006646836,0.00013940527,0.00037418632,0.0002812183,0.000058607322],"domain_scores_gemma":[0.9953306,0.0024227921,0.00087557297,0.00058936095,0.00063825096,0.00014358175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042927978,0.00054176344,0.0008600414,0.0038631929,0.0002824019,0.00085620285,0.0007696794,0.0006295347,0.0013327587],"category_scores_gemma":[0.012133371,0.0002974765,0.00070951314,0.0014350633,0.0002956207,0.0013924643,0.00089454744,0.00042605045,0.00041425374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007521272,0.00025462147,0.69221556,0.0001616448,0.0018925904,0.00013961788,0.0001370316,0.022189183,0.01492453,0.003493683,0.0016814446,0.2621579],"study_design_scores_gemma":[0.00006344074,0.000790778,0.59737164,0.000078720055,0.0006869694,0.0014613079,0.00027574092,0.38181672,0.007602535,0.0069253207,0.0027763725,0.00015053508],"about_ca_topic_score_codex":0.0014305837,"about_ca_topic_score_gemma":0.0022495762,"teacher_disagreement_score":0.0042927978,"about_ca_system_score_codex":0.0003069373,"about_ca_system_score_gemma":0.00027239654,"threshold_uncertainty_score":0.022702754},"labels":[],"label_agreement":null},{"id":"W2763992705","doi":"10.1016/j.fishres.2017.09.001","title":"Mixed-origins of channel catfish in a large-river tributary","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Institute of Agriculture and Natural Resources; University of Southern Mississippi","keywords":"Tributary; Catfish; Otolith; Ictalurus; Population; Channel (broadcasting); Fishery; Geography; Habitat; Drainage basin; Fish migration; Environmental science; Ecology; Biology; Fish ; Cartography","score_opus":0.07317649176205977,"score_gpt":0.3264170416428501,"score_spread":0.25324054988079037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763992705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998423,0.00001679901,0.000026274525,0.000011733517,7.522965e-7,0.0000023584641,0.000020684545,4.8269084e-7,0.00007865496],"genre_scores_gemma":[0.9996019,0.000022667902,0.0000806753,0.000011464758,0.0000012578665,0.0000045313327,0.000049042348,0.0000018807384,0.00022654557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994717,0.00014334092,0.000037331036,0.00015227657,0.00005153889,0.00014383704],"domain_scores_gemma":[0.998808,0.0002255569,0.00021982334,0.00011646306,0.00026883843,0.0003612621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004221979,0.00029880705,0.0003212203,0.0013973608,0.0018238896,0.00096015475,0.00071052415,0.00040148065,0.002084698],"category_scores_gemma":[0.0014288226,0.00035978225,0.00024741917,0.0015753043,0.0009596623,0.00062763353,0.0012671931,0.0004720841,0.00022820925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014124255,0.00007300489,0.9889854,0.00000629735,0.000027471011,0.00042485434,0.0053896154,0.000023994004,0.0024650844,0.00011311489,0.00004876475,0.0023010983],"study_design_scores_gemma":[0.000006527587,0.000053209566,0.98723525,0.000008123287,0.000015201894,0.00046997616,0.011536329,0.00021955886,0.00015132906,0.00006337204,0.00023335239,0.000007766649],"about_ca_topic_score_codex":0.10305569,"about_ca_topic_score_gemma":0.28498203,"teacher_disagreement_score":0.10305569,"about_ca_system_score_codex":0.0009482283,"about_ca_system_score_gemma":0.0008716763,"threshold_uncertainty_score":0.20491165},"labels":[],"label_agreement":null},{"id":"W2766352905","doi":"10.1016/j.fishres.2017.10.001","title":"Evaluating the condition and discard mortality of winter skate, Leucoraja ocellata, following capture and handling in the Atlantic monkfish (Lophius americanus) sink gillnet fishery","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Fisheries and Oceans Canada","funders":"","keywords":"Skate; Bycatch; Fishery; Fishing; Otter; Biology; Sink (geography); Fisheries management; Commercial fishing; Ecology; Geography","score_opus":0.12320374552796187,"score_gpt":0.4073916727417549,"score_spread":0.28418792721379305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766352905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999915,0.000005310216,0.000004869235,0.0000014857693,4.5041457e-7,6.118935e-7,0.000020655554,2.1836158e-7,0.00005136161],"genre_scores_gemma":[0.99960107,0.000017872,0.000024584575,0.000005207486,8.868683e-7,0.0000018387594,0.00012009289,3.7664628e-7,0.00022825252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999038,0.000011849189,0.00000993851,0.00001783071,0.000026571885,0.000030078434],"domain_scores_gemma":[0.99955267,0.000046174668,0.00020140281,0.00001407696,0.00007345636,0.00011231156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030554403,0.00020209013,0.0001413581,0.00044571122,0.0004094318,0.0003246515,0.0001691438,0.0002835666,0.0006194837],"category_scores_gemma":[0.0007061407,0.00011912601,0.00025709343,0.00023328084,0.00025838724,0.00029844034,0.0002302236,0.00022500685,0.00017147619],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003450437,0.000089211666,0.99584925,0.000005041577,0.000025479283,0.0000938041,0.00015057248,0.00006920434,0.002344424,0.0000061343844,0.000030361572,0.0009913968],"study_design_scores_gemma":[9.769764e-7,0.00015055286,0.9994079,9.115057e-7,0.0000073045494,0.000044182332,0.00016865446,0.00006363572,0.00013413571,0.0000024817757,0.00001817344,0.0000010858746],"about_ca_topic_score_codex":0.026389625,"about_ca_topic_score_gemma":0.0971138,"teacher_disagreement_score":0.026389625,"about_ca_system_score_codex":0.00061570917,"about_ca_system_score_gemma":0.0004036495,"threshold_uncertainty_score":0.052472055},"labels":[],"label_agreement":null},{"id":"W2766607601","doi":"10.1016/j.fishres.2017.10.023","title":"A method to address the non-random spatial distribution of on-board observer data to map landings and discards","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Association Nationale de la Recherche et de la Technologie; W. Garfield Weston Foundation","keywords":"Discards; Fishing; Marine spatial planning; On board; Spatial distribution; Geography; Computer science; Statistics; Environmental science; Econometrics; Environmental resource management; Mathematics; Fishery; Remote sensing","score_opus":0.19597064072742817,"score_gpt":0.365714853636634,"score_spread":0.1697442129092058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766607601","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0088511165,0.00004994816,0.9895672,0.00013081983,0.000082891114,0.00009470598,0.0003365598,0.00041773324,0.00046904123],"genre_scores_gemma":[0.10539956,0.00007754483,0.8890085,0.000104627776,0.00011123758,0.0005346313,0.0010682272,0.00013303915,0.0035625626],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746287,0.0010977245,0.00012848018,0.00069047854,0.00047837038,0.00014199303],"domain_scores_gemma":[0.98955244,0.005329963,0.00077868724,0.0024460084,0.001699487,0.00019338772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005102536,0.00051953236,0.0007395814,0.0024679478,0.0009161863,0.0013368484,0.0022560263,0.001532045,0.003895457],"category_scores_gemma":[0.019084675,0.0005541581,0.0012615199,0.003311804,0.0007093675,0.0014004449,0.0014451403,0.0011892125,0.0011691371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004668847,0.00050777,0.079904355,0.00036769707,0.0009862209,0.00038145104,0.0010954055,0.040433947,0.02301642,0.08257394,0.015971955,0.754294],"study_design_scores_gemma":[0.00020981651,0.00015773448,0.028294569,0.00007837818,0.0002472797,0.00092042785,0.0004049906,0.8695091,0.011375186,0.05728197,0.031382147,0.00013834261],"about_ca_topic_score_codex":0.008175095,"about_ca_topic_score_gemma":0.012926926,"teacher_disagreement_score":0.008175095,"about_ca_system_score_codex":0.00057254656,"about_ca_system_score_gemma":0.001742277,"threshold_uncertainty_score":0.026985109},"labels":[],"label_agreement":null},{"id":"W2775126001","doi":"10.1016/j.fishres.2017.11.027","title":"Game theory and fisheries","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishery; Fisheries science; Game theory; Fishing; Fisheries management; Economics; Biology; Mathematical economics","score_opus":0.0705952429358679,"score_gpt":0.34903927322163747,"score_spread":0.2784440302857696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775126001","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054655638,0.048339237,0.14559355,0.058253538,0.0017252637,0.000070027614,0.00034606148,0.00007021097,0.6909465],"genre_scores_gemma":[0.9039034,0.016359022,0.007274914,0.0029360084,0.000799851,0.000116371586,0.00013130848,0.00003867718,0.06844041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992737,0.000423362,0.000026996793,0.00008215991,0.00011782766,0.00007592146],"domain_scores_gemma":[0.99760026,0.0019406445,0.00012434708,0.000093622584,0.00015616084,0.00008495315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012456551,0.00068651675,0.0007087718,0.0010998013,0.00081310386,0.0034026334,0.0008022151,0.0021945783,0.0110852],"category_scores_gemma":[0.0043912,0.00024220512,0.00044480077,0.0014310606,0.0051613883,0.0040792865,0.00097916,0.0018425384,0.00075599435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033590861,0.000009563744,0.00011584757,0.000025298745,0.0000064540814,0.000014768158,0.00008255844,0.0016059489,0.000022444656,0.9917035,0.0024956192,0.0039146137],"study_design_scores_gemma":[0.0000020344658,0.0000023455739,0.00007952842,0.000015365973,0.000002462864,0.000012145704,0.00007711336,0.0011402617,0.000007461993,0.9925567,0.006102601,0.0000018616415],"about_ca_topic_score_codex":0.005964562,"about_ca_topic_score_gemma":0.0035646781,"teacher_disagreement_score":0.0110852,"about_ca_system_score_codex":0.0022937374,"about_ca_system_score_gemma":0.0012046369,"threshold_uncertainty_score":0.037083745},"labels":[],"label_agreement":null},{"id":"W2790922012","doi":"10.1016/j.fishres.2018.02.024","title":"Estimating fishing effort from remote traffic counters: Opportunities and challenges","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Environment; University of British Columbia","funders":"Ministry of Forests, Lands and Natural Resource Operations; Freshwater Fisheries Society of British Columbia","keywords":"Fishing; Shore; Environmental science; Computer science; Fishery; Commercial fishing; Geography","score_opus":0.16731849033872576,"score_gpt":0.32252552399893275,"score_spread":0.155207033660207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790922012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89097327,0.014236068,0.07319488,0.002211056,0.00035197457,0.00017149077,0.0031614713,0.0004042438,0.015295569],"genre_scores_gemma":[0.93796843,0.00416776,0.052406628,0.00043441067,0.0005337839,0.00014398765,0.0020054013,0.00009775573,0.0022418986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99628025,0.0018521762,0.0002672349,0.00064804795,0.00074823265,0.0002040576],"domain_scores_gemma":[0.98436445,0.008828372,0.0018985114,0.0016482413,0.0028790971,0.0003813062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061371904,0.0018787537,0.0020658288,0.0033581068,0.00077805115,0.0034080741,0.0038433284,0.0023087196,0.0019214344],"category_scores_gemma":[0.019742887,0.00094052934,0.00064718054,0.004361363,0.00067954464,0.004571004,0.0020632069,0.0012321738,0.0009673665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017668794,0.00029235033,0.73907816,0.00065641024,0.0007993271,0.00020534665,0.0008084555,0.010795868,0.005463873,0.0009654248,0.0022092357,0.23854895],"study_design_scores_gemma":[0.00004936686,0.00042977295,0.8760035,0.00060989795,0.0007064665,0.0015904118,0.004551206,0.08726252,0.0039331154,0.014612893,0.010063572,0.00018733946],"about_ca_topic_score_codex":0.017343309,"about_ca_topic_score_gemma":0.042950504,"teacher_disagreement_score":0.017343309,"about_ca_system_score_codex":0.00041864702,"about_ca_system_score_gemma":0.0007025767,"threshold_uncertainty_score":0.034484744},"labels":[],"label_agreement":null},{"id":"W2800739673","doi":"10.1016/j.fishres.2018.04.017","title":"When are estimates of spawning stock biomass for small pelagic fishes improved by taking spatial structure into account?","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Parks Canada; Fisheries and Oceans Canada; University of Waterloo","funders":"Simon Fraser University; University of Washington; Natural Sciences and Engineering Research Council of Canada; Pew Charitable Trusts; David and Lucile Packard Foundation","keywords":"Stock assessment; Clupea; Hindcast; Environmental science; Stock (firearms); Pelagic zone; Spatial variability; Biomass (ecology); Fishery; Herring; Statistics; Fishing; Oceanography; Geography; Meteorology; Mathematics; Biology; Geology","score_opus":0.0513783240467407,"score_gpt":0.3179151329443272,"score_spread":0.2665368088975865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800739673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8806457,0.020105673,0.070761405,0.015190396,0.0012915519,0.000098503915,0.0042907367,0.00048563187,0.007130359],"genre_scores_gemma":[0.93993837,0.0036532932,0.05149437,0.0014083048,0.000506815,0.00008014447,0.0016813299,0.00011324494,0.0011240307],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947954,0.002719467,0.0006060168,0.0010334398,0.0005596548,0.00028609758],"domain_scores_gemma":[0.94350713,0.03508755,0.0062437584,0.0059416927,0.008400421,0.00081938686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020728672,0.00079228275,0.00169713,0.0019773298,0.0006959795,0.0026308119,0.0020731655,0.0027150046,0.0017907524],"category_scores_gemma":[0.10862777,0.0011059922,0.0019383378,0.0028203884,0.0012481468,0.008173231,0.0013368789,0.00089151954,0.00084433943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000315711,0.0000484273,0.88481015,0.00042115056,0.0016216784,0.00009373617,0.00030454993,0.009275763,0.0011439688,0.00068555895,0.002993749,0.09828558],"study_design_scores_gemma":[0.00006744391,0.00013678083,0.96476835,0.00032905527,0.0011316028,0.00022568925,0.0010345888,0.021492066,0.001597675,0.004946764,0.004193003,0.00007692008],"about_ca_topic_score_codex":0.02405075,"about_ca_topic_score_gemma":0.05890159,"teacher_disagreement_score":0.02405075,"about_ca_system_score_codex":0.00072247686,"about_ca_system_score_gemma":0.0013230426,"threshold_uncertainty_score":0.10962504},"labels":[],"label_agreement":null},{"id":"W2806123537","doi":"10.1016/j.fishres.2018.05.007","title":"Post-release behaviour and survival of recreationally-angled arapaima (Arapaima cf. arapaima) assessed with accelerometer biologgers","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Catch and release; Fishery; Fishing; Endangered species; Recreation; Biology; Environmental science; Recreational fishing; Habitat; Ecology","score_opus":0.06338842153543883,"score_gpt":0.32739442407483993,"score_spread":0.2640060025394011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806123537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995968,0.000015604188,0.000019859615,0.000003955385,0.0000012963291,0.0000026946566,0.00009134665,0.0000018306503,0.00026668978],"genre_scores_gemma":[0.99858105,0.00004977811,0.000150258,0.000011393948,0.0000027134715,0.000015652866,0.00024309302,0.0000014792914,0.0009445307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999075,0.000014228085,0.000005862294,0.000032620508,0.000017042647,0.000022757307],"domain_scores_gemma":[0.9995117,0.000055451528,0.00022321066,0.000027436257,0.0000723098,0.000109862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015294674,0.00035216808,0.00018823071,0.00051680574,0.00033338842,0.0002873865,0.00023560216,0.00025706133,0.001348117],"category_scores_gemma":[0.00048067461,0.00023026949,0.0001866905,0.00030136158,0.0002511796,0.00034248212,0.00030611554,0.00039204123,0.0005332194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040615958,0.00037849983,0.97113144,0.000025242503,0.000042914795,0.00024158032,0.0012165303,0.00008207967,0.018150719,0.000020977164,0.00022340185,0.0080804145],"study_design_scores_gemma":[0.0000019057242,0.00022820848,0.99910223,0.0000020475095,0.000006441912,0.000047366124,0.000314653,0.00006148249,0.00014489125,0.0000032936473,0.00008520968,0.000002238686],"about_ca_topic_score_codex":0.009670581,"about_ca_topic_score_gemma":0.03977168,"teacher_disagreement_score":0.009670581,"about_ca_system_score_codex":0.00023214235,"about_ca_system_score_gemma":0.00011363557,"threshold_uncertainty_score":0.019228578},"labels":[],"label_agreement":null},{"id":"W2889520311","doi":"10.1016/j.fishres.2018.08.006","title":"Perceptions regarding the need for broad sustainability assessments of Australian fisheries","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Svenska Forskningsrådet Formas; Fisheries Research and Development Corporation","keywords":"Sustainability; Business; Corporate governance; Government (linguistics); Legislation; Process (computing); Fishery; Environmental resource management; Environmental planning; Political science; Geography; Economics; Ecology; Finance; Computer science","score_opus":0.08807288545213303,"score_gpt":0.40642643603190054,"score_spread":0.3183535505797675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889520311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6358153,0.003814653,0.0025937275,0.29236302,0.00076835946,0.00018603806,0.0001897088,0.00003579166,0.064233415],"genre_scores_gemma":[0.97755164,0.0019683503,0.0022261075,0.014720565,0.00020437362,0.00006772768,0.00006425004,0.000008461007,0.0031886348],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.983594,0.0055500334,0.00156693,0.00062157866,0.006695774,0.0019716935],"domain_scores_gemma":[0.9270609,0.026519684,0.008375185,0.0017398668,0.023957692,0.012346578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03965521,0.00021148572,0.0003113155,0.0019313617,0.0044323173,0.0045695873,0.0010651584,0.0027708074,0.0045796386],"category_scores_gemma":[0.07150248,0.00039890173,0.0005029799,0.0013249929,0.004983863,0.0039300034,0.006488303,0.00577429,0.00038135206],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050295476,0.00031386965,0.26533538,0.0028445658,0.00025484947,0.003099779,0.2792575,0.0018203285,0.011316488,0.056905463,0.073841594,0.30450717],"study_design_scores_gemma":[0.000037518552,0.00038387394,0.47161794,0.0027655084,0.00014065547,0.00111343,0.31495112,0.0013771972,0.0011621265,0.029286005,0.1769425,0.00022210139],"about_ca_topic_score_codex":0.04925849,"about_ca_topic_score_gemma":0.08014902,"teacher_disagreement_score":0.04925849,"about_ca_system_score_codex":0.0067172986,"about_ca_system_score_gemma":0.013873594,"threshold_uncertainty_score":0.2097193},"labels":[],"label_agreement":null},{"id":"W2896747528","doi":"10.1016/j.fishres.2018.10.003","title":"The importance of distinguishing pufferfish species (Lagocephalus spp.) in the Mediterranean Sea for ensuring public health: Evaluation of the genetic databases reliability in supporting species identification","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Health, British Columbia","keywords":"Identification (biology); Reliability (semiconductor); Species identification; Mediterranean sea; Fishery; Mediterranean climate; Environmental resource management; Geography; Biology; Ecology; Zoology; Environmental science","score_opus":0.3163539249290471,"score_gpt":0.43955322593439045,"score_spread":0.12319930100534332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896747528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99042165,0.00047762084,0.005708229,0.0003607744,0.000029975425,0.000042381922,0.00095506635,0.00004455609,0.0019597728],"genre_scores_gemma":[0.9868466,0.00022306004,0.01156447,0.00009258601,0.000016736476,0.000032621356,0.0008879323,0.000008173082,0.00032779516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99568474,0.0018328144,0.00059419667,0.0007900105,0.00086431287,0.00023395386],"domain_scores_gemma":[0.98324686,0.0066557243,0.0035292725,0.0018215124,0.00413115,0.00061549194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00934521,0.00036380507,0.00029921927,0.0028473309,0.0007456736,0.0014049154,0.0007681893,0.00069927017,0.0010837477],"category_scores_gemma":[0.021296535,0.0001922176,0.0002552465,0.0012561512,0.00071264396,0.0016712061,0.0010991744,0.0003045169,0.00038929255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028062944,0.000051241994,0.9125959,0.00018700513,0.0001318915,0.00011524283,0.0010785059,0.00080935936,0.012454205,0.00044000585,0.000558654,0.07129736],"study_design_scores_gemma":[0.000025105004,0.0002920836,0.9688074,0.0002202829,0.00016060792,0.00047004846,0.0036221885,0.009437232,0.010103,0.0024930122,0.004333123,0.00003591023],"about_ca_topic_score_codex":0.011528068,"about_ca_topic_score_gemma":0.02256927,"teacher_disagreement_score":0.011528068,"about_ca_system_score_codex":0.00061216357,"about_ca_system_score_gemma":0.0013766702,"threshold_uncertainty_score":0.04942274},"labels":[],"label_agreement":null},{"id":"W2900777812","doi":"10.1016/j.fishres.2018.11.008","title":"The effects of inter- and intra-population variability on the use of adipose fin-muscle tissue comparisons for stable isotope studies of sockeye salmon","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia; Fisheries and Oceans Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; Fisheries and Oceans Canada; University of Waterloo; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Trophic level; Biology; Muscle tissue; Oncorhynchus; Population; Adipose tissue; δ15N; δ13C; Stable isotope ratio; Zoology; Ecology; Fishery; Anatomy; Fish ; Endocrinology; Demography","score_opus":0.09443903607181121,"score_gpt":0.3604140607108458,"score_spread":0.2659750246390346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900777812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95053786,0.0011872497,0.04146116,0.0002907397,0.00019310525,0.00011848329,0.00076421566,0.00017537938,0.005271775],"genre_scores_gemma":[0.98025894,0.00017073499,0.017033378,0.00025224526,0.00006723862,0.00017462873,0.0005902326,0.00038037225,0.0010722661],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.93458927,0.04734749,0.004540139,0.006510157,0.0062317555,0.00078117894],"domain_scores_gemma":[0.87070066,0.09225896,0.0075411946,0.018502958,0.010394385,0.0006018123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.042425685,0.0005323468,0.0006544561,0.0012793258,0.001500477,0.002043567,0.0012143962,0.0013848005,0.0006027699],"category_scores_gemma":[0.06960456,0.00069954986,0.0012785255,0.0016643807,0.0017061358,0.0010729873,0.0015919101,0.001321137,0.0004474886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002835517,0.00047958214,0.71762097,0.0003429883,0.0054949066,0.00046535928,0.004543575,0.01098614,0.1561852,0.0024500818,0.0019446905,0.09665108],"study_design_scores_gemma":[0.000048821916,0.00078067696,0.94518846,0.000065460415,0.000841948,0.0005818676,0.00057060015,0.011641171,0.035363186,0.0012855302,0.0035314811,0.000100853205],"about_ca_topic_score_codex":0.0053359675,"about_ca_topic_score_gemma":0.024385935,"teacher_disagreement_score":0.042425685,"about_ca_system_score_codex":0.0009675642,"about_ca_system_score_gemma":0.00050521526,"threshold_uncertainty_score":0.22437114},"labels":[],"label_agreement":null},{"id":"W2901397942","doi":"10.1016/j.fishres.2018.10.027","title":"Recruitment synchrony in spatially structured Newfoundland and Labrador populations of American plaice (Hippoglossoides platessoides)","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Ocean Frontier Institute; Memorial University of Newfoundland","keywords":"Stock (firearms); Fishery; Stock assessment; Research vessel; Geography; Fishing; Oceanography; Biology; Geology; Archaeology","score_opus":0.10075262195681184,"score_gpt":0.3630436843041295,"score_spread":0.26229106234731764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901397942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998585,0.000012498902,0.000012246775,0.0000043319515,4.3683485e-7,6.250255e-7,0.00003762844,9.1905144e-7,0.00007287934],"genre_scores_gemma":[0.99975663,0.0000055384317,0.00002340228,0.000006361372,6.1283083e-7,0.0000024779088,0.00007874954,0.000001074434,0.0001251024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999747,0.000037854952,0.000013234991,0.00010961928,0.0000178764,0.0000744228],"domain_scores_gemma":[0.99822754,0.00036494352,0.00072999357,0.00014748158,0.00019427639,0.00033564237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044105592,0.00012987667,0.0002596893,0.00074104074,0.0006823783,0.000621275,0.00055585225,0.0003020139,0.0013053867],"category_scores_gemma":[0.0016262153,0.00028803083,0.00019521496,0.0004797031,0.001021986,0.0003741771,0.0008465049,0.00022210632,0.00017272466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002379963,0.000029803135,0.9929086,0.000011139167,0.000060906794,0.000049277565,0.0010844467,0.00037382718,0.0035304688,0.000041288826,0.00012660578,0.0015455332],"study_design_scores_gemma":[0.0000014226566,0.0000074552613,0.9995963,0.0000011456785,0.000005547698,0.000009271456,0.00022619199,0.00010380355,0.000027169961,0.0000039177185,0.000016568796,0.0000011753535],"about_ca_topic_score_codex":0.25731817,"about_ca_topic_score_gemma":0.66392833,"teacher_disagreement_score":0.74268186,"about_ca_system_score_codex":0.001936785,"about_ca_system_score_gemma":0.00082351285,"threshold_uncertainty_score":0.5116408},"labels":[],"label_agreement":null},{"id":"W2901807390","doi":"10.1016/j.fishres.2018.11.007","title":"Predicting spatial patterns of recreational boating to understand potential impacts to fisheries and aquatic ecosystems","year":2018,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada); Fisheries and Oceans Canada; Ministry of Natural Resources and Forestry","funders":"","keywords":"Fishing; Recreation; Recreational fishing; Fishery; Geography; Ecosystem; Tourism; Biomass (ecology); Commercial fishing; Environmental science; Ecology; Biology","score_opus":0.04189728845186256,"score_gpt":0.2997809751020925,"score_spread":0.2578836866502299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901807390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946038,0.00008477466,0.0028951173,0.000068970956,0.000004741351,0.00001712934,0.0010731475,0.000044180746,0.0012081184],"genre_scores_gemma":[0.9945127,0.00007303574,0.003873195,0.0000081705275,0.0000033964398,0.000015422851,0.0009691196,0.00000674074,0.0005382871],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998691,0.0000446374,0.0000089754385,0.000034372297,0.000014091504,0.000028835797],"domain_scores_gemma":[0.99916434,0.00035817613,0.00014923808,0.00006829327,0.00016329747,0.00009664026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005267446,0.00025648822,0.00020427578,0.001154424,0.0002665028,0.00047496767,0.00037320866,0.0002646642,0.0021286225],"category_scores_gemma":[0.0018358887,0.00018867417,0.0003671591,0.0013547654,0.00018030578,0.00052573264,0.000310929,0.00022788528,0.00040007677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005670649,0.000053585198,0.9731747,0.000015892458,0.00006466302,0.000018884532,0.000070607035,0.015201532,0.00049121265,0.00014609609,0.00040291037,0.010303263],"study_design_scores_gemma":[0.000009126732,0.000079282734,0.8124785,0.000021370737,0.000063646505,0.00005654158,0.00083511847,0.18465303,0.000373776,0.0006784158,0.00074022193,0.00001102655],"about_ca_topic_score_codex":0.07252993,"about_ca_topic_score_gemma":0.20008098,"teacher_disagreement_score":0.07252993,"about_ca_system_score_codex":0.00049019925,"about_ca_system_score_gemma":0.00052953704,"threshold_uncertainty_score":0.14421546},"labels":[],"label_agreement":null},{"id":"W2922894328","doi":"10.1016/j.fishres.2019.03.014","title":"Consequences of winter air exposure on walleye (Sander vitreus) physiology and impairment following a simulated ice-angling event","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Carleton University","funders":"Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources; Natural Sciences and Engineering Research Council of Canada; F. Hoffmann-La Roche","keywords":"Fishery; Fishing; Fish ; Biology; Reflex; Population; Medicine; Environmental health","score_opus":0.024424879485077326,"score_gpt":0.2973235928476163,"score_spread":0.27289871336253896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922894328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998467,0.0000074051964,0.000013562923,0.000004730529,0.000002565232,0.0000032135476,0.000049931503,0.0000013299355,0.000070447546],"genre_scores_gemma":[0.9997489,0.000010620434,0.000019136829,0.000009988818,0.000002401788,0.000006190917,0.000095364485,8.176318e-7,0.00010658957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991953,0.000015736723,0.000005746137,0.000013650206,0.000008204213,0.000037171623],"domain_scores_gemma":[0.9995653,0.000074045274,0.00008403402,0.000019332638,0.00004850579,0.00020875903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018234036,0.00028382085,0.00025249107,0.00017944479,0.0003101013,0.00041494658,0.00013377161,0.000384024,0.00088817044],"category_scores_gemma":[0.0006258001,0.00013335819,0.00021112448,0.000109057975,0.00036211527,0.00017534486,0.00032153586,0.00039371313,0.00013691265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.029682238,0.0023398404,0.8116006,0.00006918438,0.00026497192,0.001540568,0.00056270324,0.001441498,0.147444,0.00006816318,0.0004938238,0.004492457],"study_design_scores_gemma":[0.000013511566,0.0013467039,0.99629825,0.0000029044502,0.000024666551,0.00009296523,0.00019936424,0.0003996997,0.0015572,0.000015020521,0.00004588829,0.000003826766],"about_ca_topic_score_codex":0.008720217,"about_ca_topic_score_gemma":0.012911651,"teacher_disagreement_score":0.008720217,"about_ca_system_score_codex":0.00033597028,"about_ca_system_score_gemma":0.00031882492,"threshold_uncertainty_score":0.017338932},"labels":[],"label_agreement":null},{"id":"W2928748489","doi":"10.1016/j.fishres.2019.03.020","title":"Chromosomal inversions in the Atlantic cod genome: Implications for management of Canada’s Northern cod stock","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland; Fisheries and Oceans Canada; University of New Brunswick","funders":"Fisheries and Oceans Canada; Research and Development Corporation of Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Research Chairs","keywords":"Gadus; Atlantic cod; Panmixia; Stock (firearms); Population; Gene flow; Geography; Fishery; Bay; Biology; Oceanography; Ecology; Genetic variation; Genetics; Geology; Gene; Demography","score_opus":0.041896966052914104,"score_gpt":0.29558845145160356,"score_spread":0.25369148539868946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928748489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910937,0.0011283838,0.0012952487,0.0011862675,0.000023249022,0.000008519664,0.00060715486,0.00001718138,0.004640267],"genre_scores_gemma":[0.99715984,0.00056247157,0.0006581395,0.0001911003,0.000012011139,0.0000031557572,0.00029629996,0.0000069759594,0.001110034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974316,0.000020924757,0.000010982473,0.000070448456,0.0000837201,0.00007085792],"domain_scores_gemma":[0.999361,0.00013413925,0.00016480037,0.000024710496,0.00019135927,0.00012404445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004537031,0.00019494898,0.00021576337,0.0013198603,0.00094620074,0.000930986,0.0005286411,0.000328924,0.0018771295],"category_scores_gemma":[0.0008717556,0.00012796585,0.00026230584,0.0018111186,0.0010199026,0.00028858692,0.00042299533,0.00073492853,0.00011467524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000892909,0.0001380995,0.6179309,0.00012470337,0.00029878187,0.0010233358,0.002605393,0.0041937702,0.2228366,0.0137507245,0.0017854085,0.13441944],"study_design_scores_gemma":[0.000027167915,0.000035492692,0.9867502,0.000030018817,0.00008444508,0.00023318458,0.0014190525,0.0013042894,0.0039782547,0.001512705,0.004597355,0.000027825712],"about_ca_topic_score_codex":0.6326051,"about_ca_topic_score_gemma":0.74296296,"teacher_disagreement_score":0.36739492,"about_ca_system_score_codex":0.00462211,"about_ca_system_score_gemma":0.0050387927,"threshold_uncertainty_score":0.73911715},"labels":[],"label_agreement":null},{"id":"W2942967146","doi":"10.1016/j.fishres.2019.04.002","title":"A review of the fate of southern British Columbia coho salmon over time","year":2019,"lang":"en","type":"review","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"Genome British Columbia; Government of Canada; Genome Canada","keywords":"Oncorhynchus; Hatchery; Fishery; Endangered species; Thriving; Livelihood; Recreational fishing; Geography; Recreation; Fish ; Ecology; Archaeology; Biology; Habitat; Agriculture","score_opus":0.06084269820722135,"score_gpt":0.3295362498682389,"score_spread":0.2686935516610175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942967146","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001301487,0.9993011,0.0000155916,0.0001559015,0.00009093733,0.0000024133303,0.00008305348,0.0000017698213,0.00021901718],"genre_scores_gemma":[0.00034110423,0.99926907,0.000045591496,0.00010636878,0.000034543198,0.0000021255532,0.000042146024,3.748577e-7,0.00015866836],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996037,0.000049277507,0.00010377988,0.00007647295,0.00013169384,0.000035155503],"domain_scores_gemma":[0.9987941,0.00045489628,0.00024822087,0.000026062153,0.00040217282,0.00007444935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012425493,0.0008756354,0.0014954659,0.004369751,0.00045329632,0.0013409455,0.0008890964,0.0010203628,0.0027206903],"category_scores_gemma":[0.0023782596,0.00032824956,0.0007763781,0.008495105,0.0005247536,0.00082716986,0.00073386304,0.0009332084,0.00054171437],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012083707,0.000039782488,0.0016150005,0.06915764,0.0003921421,0.00017140718,0.00019861617,0.00028409428,0.00071413815,0.00079622364,0.051161125,0.8753489],"study_design_scores_gemma":[0.00002088358,0.00014737099,0.01818729,0.056694772,0.0015792119,0.0007465793,0.0004130407,0.00006592863,0.0002087467,0.00066434406,0.9212047,0.000067057605],"about_ca_topic_score_codex":0.097172424,"about_ca_topic_score_gemma":0.22974119,"teacher_disagreement_score":0.90282756,"about_ca_system_score_codex":0.0023628215,"about_ca_system_score_gemma":0.0073667252,"threshold_uncertainty_score":0.19321364},"labels":[],"label_agreement":null},{"id":"W2944864596","doi":"10.1016/j.fishres.2019.05.007","title":"Irregular growth patterns in the otoliths of a short-lived forage fish do not reliably indicate reproductive history","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; University of Manitoba","funders":"","keywords":"Capelin; Otolith; Biology; Mallotus; Fishery; Pelagic zone; Spawn (biology); Reproduction; Forage fish; Fish ; Zoology; Ecology; Predation","score_opus":0.05610182877307348,"score_gpt":0.2904052129854057,"score_spread":0.23430338421233224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944864596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980096,0.00005155752,0.00028198634,0.000016866306,0.000009996816,0.0000043295067,0.00017587401,0.000013259983,0.0014365347],"genre_scores_gemma":[0.9989078,0.000033030887,0.00044954938,0.000020474088,0.000007844086,0.000004426405,0.00019972274,0.00000858894,0.00036857385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998977,0.000017787223,0.000015497462,0.000025791556,0.000026133035,0.000017035023],"domain_scores_gemma":[0.99728644,0.00061419787,0.0011871734,0.0002578643,0.00022942954,0.00042489605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003103953,0.0002256049,0.00018081591,0.0010041054,0.00030424556,0.00030203868,0.00028639226,0.00037114247,0.0021629764],"category_scores_gemma":[0.0026436336,0.0001896818,0.00014825462,0.00040876534,0.00075567776,0.00035501615,0.00036040755,0.00028465388,0.0006131641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024388563,0.00002909866,0.9583838,0.000037526617,0.00003919718,0.0002827291,0.00016213332,0.00009141359,0.034366492,0.00005050553,0.00014781128,0.0061654327],"study_design_scores_gemma":[0.0000018448316,0.00005612806,0.9984102,0.000002925523,0.000006377322,0.00040368544,0.000072565046,0.00009864338,0.00082828786,0.000031662945,0.000084673375,0.0000029776302],"about_ca_topic_score_codex":0.0024233437,"about_ca_topic_score_gemma":0.010066933,"teacher_disagreement_score":0.0024233437,"about_ca_system_score_codex":0.00016534112,"about_ca_system_score_gemma":0.00015150785,"threshold_uncertainty_score":0.007235825},"labels":[],"label_agreement":null},{"id":"W2950928316","doi":"10.1016/j.fishres.2019.04.015","title":"Spatiotemporal variability in Newfoundland capelin (Mallotus villosus) larval abundance and growth: Implications for recruitment","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Capelin; Bay; Mallotus; Otolith; Ichthyoplankton; Larva; Fishery; Biology; Abundance (ecology); Oceanography; Ecology; Predation; Fish ; Geology","score_opus":0.0969828528534952,"score_gpt":0.3536354286585706,"score_spread":0.2566525758050754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950928316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993026,0.0000640994,0.000029965095,0.000029476343,0.0000018374812,0.0000013216138,0.00032557294,0.000001719385,0.00024342744],"genre_scores_gemma":[0.9992945,0.00003843111,0.000056945457,0.000015829977,0.0000017596882,0.0000037154603,0.00024712353,0.0000015123396,0.0003401496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998153,0.000022417958,0.000017320514,0.00006295828,0.000022004575,0.00006005241],"domain_scores_gemma":[0.99891925,0.00018558279,0.0004114502,0.00007938136,0.0002457984,0.0001585564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035937395,0.00010488618,0.00013661846,0.0006792937,0.00042753466,0.00047480018,0.0003241517,0.0002408816,0.0012381378],"category_scores_gemma":[0.0013076288,0.0001540045,0.00013634698,0.00090232276,0.0004992537,0.00030879906,0.0003968055,0.00018298774,0.0001771857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059010163,0.0000115240655,0.9962741,0.000008163436,0.000027009402,0.00005421924,0.00035761978,0.00012109323,0.0010393383,0.000024480116,0.000250372,0.0017732036],"study_design_scores_gemma":[2.3338833e-7,0.0000018966658,0.99979514,0.000001070318,0.000001762342,0.0000070326614,0.00010614583,0.00003744886,0.000010185388,9.762854e-7,0.00003759292,6.0662427e-7],"about_ca_topic_score_codex":0.64382225,"about_ca_topic_score_gemma":0.87201244,"teacher_disagreement_score":0.35617775,"about_ca_system_score_codex":0.0023272042,"about_ca_system_score_gemma":0.0008558852,"threshold_uncertainty_score":0.7165507},"labels":[],"label_agreement":null},{"id":"W2965065257","doi":"10.1016/j.fishres.2019.105332","title":"Influence of sex on growth of juvenile Greenland halibut (Reinhardtius hippoglossoides) in the Estuary and Gulf of St. Lawrence","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Dairy Farmers of Ontario","keywords":"Juvenile; Biology; Halibut; Gonad; Sexual dimorphism; Captivity; Development of the gonads; Sexual maturity; Fishery; Estuary; Zoology; Ecology; Fish ; Endocrinology","score_opus":0.0378365974794506,"score_gpt":0.2775041840690844,"score_spread":0.2396675865896338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965065257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99968624,0.000038317296,0.000008894008,0.000008704681,0.0000014957427,4.2375774e-7,0.00008089183,0.0000013583119,0.00017361894],"genre_scores_gemma":[0.99904686,0.000034202505,0.000022260472,0.000022530005,0.0000011414356,0.0000018984355,0.0001516174,0.0000026687906,0.00071665895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991095,0.00001429591,0.000005768671,0.000026862846,0.000016398519,0.000025662841],"domain_scores_gemma":[0.9994777,0.00010278945,0.00013708259,0.00001510016,0.00010612882,0.00016117533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011607741,0.00021918924,0.00018694362,0.00040857814,0.0003499131,0.00042455565,0.00019566985,0.00018179906,0.00092670135],"category_scores_gemma":[0.0003288362,0.00015669911,0.0001567269,0.00019499935,0.00042466755,0.00015823798,0.00035926845,0.00024266579,0.00015579238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094381126,0.00007192539,0.9423756,0.000022736038,0.00009951114,0.00034590974,0.000488365,0.00028207205,0.05082932,0.000055845077,0.00025680946,0.004228179],"study_design_scores_gemma":[0.000002313359,0.00004658765,0.9988967,0.0000019153615,0.000010182682,0.000021415679,0.00024421242,0.00007589238,0.00062219705,0.0000062668028,0.0000701303,0.0000020802097],"about_ca_topic_score_codex":0.08082866,"about_ca_topic_score_gemma":0.3034937,"teacher_disagreement_score":0.91917133,"about_ca_system_score_codex":0.0010897451,"about_ca_system_score_gemma":0.00056479883,"threshold_uncertainty_score":0.16071635},"labels":[],"label_agreement":null},{"id":"W2973867407","doi":"10.1016/j.fishres.2019.105379","title":"Using harmonized historical catch data to infer the expansion of global tuna fisheries","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of British Columbia; Fisheries and Oceans Canada","funders":"Marisla Foundation; Bloomberg Philanthropies; MAVA Foundation; Oak Foundation; David and Lucile Packard Foundation","keywords":"Tuna; Pelagic zone; Fishery; Fisheries management; Geography; Fisheries science; Exclusive economic zone; Fishing; Fish ; Biology","score_opus":0.2419748837648533,"score_gpt":0.38290894707460077,"score_spread":0.14093406330974748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973867407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911186,0.00019842539,0.003122977,0.00009110361,0.000015472842,0.000011841794,0.0037415747,0.00005748497,0.0016425377],"genre_scores_gemma":[0.9901708,0.000103447754,0.004119124,0.00003144234,0.00001475387,0.000016690448,0.005334109,0.000019182522,0.0001903748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904305,0.00031034692,0.0001276094,0.00030144554,0.00012261092,0.00009494609],"domain_scores_gemma":[0.996747,0.0009900187,0.000878075,0.00078350055,0.0004757288,0.00012562696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025277874,0.00030710324,0.000315258,0.0026142497,0.0003086975,0.0010600468,0.00038742422,0.00047478685,0.00084165967],"category_scores_gemma":[0.0073276507,0.00031538156,0.00048677038,0.003287672,0.00029739708,0.0016569282,0.0009734951,0.00035552352,0.00028974784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116016454,0.00005956607,0.9479317,0.000041364776,0.00074907823,0.00009862767,0.00015117797,0.019427352,0.001172931,0.000479921,0.00094412564,0.028828159],"study_design_scores_gemma":[0.000030543906,0.00005689746,0.94823927,0.000033470948,0.00022754862,0.0001172698,0.00038851035,0.045929424,0.0008954707,0.0008622789,0.0031933559,0.000025953073],"about_ca_topic_score_codex":0.018098336,"about_ca_topic_score_gemma":0.024297062,"teacher_disagreement_score":0.018098336,"about_ca_system_score_codex":0.0006107591,"about_ca_system_score_gemma":0.0006182445,"threshold_uncertainty_score":0.035985947},"labels":[],"label_agreement":null},{"id":"W2985410766","doi":"10.1016/j.fishres.2019.105414","title":"Oceanographic features delineate growth zonation in Northeast Pacific sablefish","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Fisheries and Oceans Canada","funders":"Northwest Fisheries Science Center; National Oceanic and Atmospheric Administration; Joint Institute for the Study of the Atmosphere and Ocean","keywords":"Geology; Oceanography; Pacific ocean","score_opus":0.022466519971405516,"score_gpt":0.2712645025215163,"score_spread":0.24879798255011076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985410766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895763,0.00004228956,0.000056587854,0.000011748316,0.0000011827339,0.0000025527156,0.00010755644,0.000003084609,0.00081737555],"genre_scores_gemma":[0.9993844,0.00004404667,0.00009646097,0.0000047082012,0.0000012139113,0.0000036833706,0.00014574107,0.0000030978897,0.00031665913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998877,0.000014164254,0.0000141743485,0.000028361583,0.000018999363,0.000036652003],"domain_scores_gemma":[0.99933475,0.00012444275,0.00024819587,0.00003563067,0.00014666044,0.00011031643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028720818,0.00018179836,0.00019745783,0.0020433092,0.00057392835,0.0009269888,0.0002357336,0.00023158194,0.001801053],"category_scores_gemma":[0.0012201199,0.00024231576,0.00025826975,0.0013611193,0.00065683026,0.0005721421,0.0012387431,0.00017116778,0.00021358002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001311323,0.000008148462,0.99147695,0.000014767319,0.000019436948,0.00003904114,0.00087696966,0.00022650544,0.0023171261,0.00012683262,0.000059892118,0.0047032307],"study_design_scores_gemma":[0.0000011596168,0.000004642654,0.9992198,0.0000027461076,0.0000028906786,0.0000104783185,0.00048569136,0.00011660211,0.00003803164,0.000024988636,0.00009191311,0.0000010762192],"about_ca_topic_score_codex":0.095828764,"about_ca_topic_score_gemma":0.2388811,"teacher_disagreement_score":0.095828764,"about_ca_system_score_codex":0.0007384644,"about_ca_system_score_gemma":0.0007429612,"threshold_uncertainty_score":0.19054198},"labels":[],"label_agreement":null},{"id":"W2991342404","doi":"10.1016/j.fishres.2019.105452","title":"Blood from a stone: Performance of catch-only methods in estimating stock biomass status","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Fisheries and Oceans Canada","funders":"","keywords":"Fishing; Stock (firearms); Stock assessment; Fisheries management; Computer science; Fishery; Population; Econometrics; Geography; Economics; Biology","score_opus":0.052610792391388946,"score_gpt":0.37535729062954404,"score_spread":0.3227464982381551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991342404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94591266,0.0035504396,0.045145676,0.000280275,0.00027833032,0.00008304635,0.0008828523,0.00021884494,0.0036479393],"genre_scores_gemma":[0.941204,0.002141404,0.050279457,0.00036010455,0.00018426048,0.00012885506,0.0010683351,0.000092282855,0.0045412607],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973762,0.0014755134,0.00015629546,0.00034191043,0.0005719248,0.00007809627],"domain_scores_gemma":[0.9889368,0.007833009,0.00079155795,0.0008520745,0.0012846874,0.00030197256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062243645,0.00062635116,0.00097539043,0.0014177961,0.0004459307,0.0011491813,0.000798467,0.0011182124,0.00093581725],"category_scores_gemma":[0.014351113,0.00040066053,0.00037923918,0.0012098321,0.00034858583,0.0013679777,0.0008223084,0.0005555109,0.00060542993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004213137,0.00017884279,0.7599044,0.0002355658,0.00059254793,0.00015689625,0.00041812676,0.0022110594,0.01194233,0.0003907917,0.0013065233,0.21844973],"study_design_scores_gemma":[0.00032596005,0.003776136,0.81620306,0.00023803733,0.002355305,0.002451485,0.0011584369,0.13867839,0.02481062,0.0027185872,0.007083521,0.000200369],"about_ca_topic_score_codex":0.0033350412,"about_ca_topic_score_gemma":0.009013892,"teacher_disagreement_score":0.0062243645,"about_ca_system_score_codex":0.00023921383,"about_ca_system_score_gemma":0.00043101457,"threshold_uncertainty_score":0.032917976},"labels":[],"label_agreement":null},{"id":"W2995026076","doi":"10.1016/j.fishres.2019.105433","title":"Gillnet catchability of Walleye (Sander vitreus): comparison of North American and provincial standards","year":2019,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Ministry of Natural Resources and Forestry","funders":"Ministère des Forêts, de la Faune et des Parcs; Ontario Ministry of Natural Resources and Forestry","keywords":"Sander; Fishery; Geography; Oceanography; Environmental science; Biology; Geology; Engineering","score_opus":0.02418050265201237,"score_gpt":0.3278123855252638,"score_spread":0.30363188287325144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995026076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987238,0.00002721016,0.00004572189,0.000014283459,0.0000015922508,0.0000018708503,0.0002016323,0.0000038785884,0.0009799106],"genre_scores_gemma":[0.9987207,0.000033737062,0.00009651484,0.0000065454947,0.0000010692444,0.000001941878,0.0004882878,0.000002767324,0.00064833165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948114,0.00007792842,0.00004053748,0.00009345623,0.00021878941,0.00008827154],"domain_scores_gemma":[0.99749446,0.0003369262,0.00066224916,0.00015391844,0.0010749232,0.00027756547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007892118,0.00011751801,0.00014566173,0.0012605896,0.000435391,0.00044870254,0.0003514649,0.00016414726,0.00084893574],"category_scores_gemma":[0.0030049172,0.00015803518,0.00020391478,0.0016846178,0.00033800714,0.00042364703,0.00042810274,0.00019802855,0.00017807033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016581854,0.000023660945,0.9937,0.0000082948645,0.000027929276,0.000023926295,0.0004976661,0.00014121828,0.00075318996,0.00008786648,0.0002065218,0.004363885],"study_design_scores_gemma":[8.056627e-7,0.000017244962,0.9994722,8.8105486e-7,0.0000043766777,0.000009340839,0.00021165279,0.00008360902,0.00008171779,0.000006586702,0.00011049861,0.0000012470164],"about_ca_topic_score_codex":0.4663931,"about_ca_topic_score_gemma":0.75227624,"teacher_disagreement_score":0.4663931,"about_ca_system_score_codex":0.0021040717,"about_ca_system_score_gemma":0.001285718,"threshold_uncertainty_score":0.92735684},"labels":[],"label_agreement":null},{"id":"W2999308675","doi":"10.1016/j.fishres.2020.105484","title":"Comparison of catch per unit effort of invasive European green crab (Carcinus maenas) across four bait types","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador; Marine Environmental Observation Prediction and Response Network","keywords":"Carcinus maenas; Catch per unit effort; Fishery; Biology; Invasive species; Decapoda; Crustacean; Ecology; Fishing","score_opus":0.1604350849576865,"score_gpt":0.3671928590366704,"score_spread":0.20675777407898394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999308675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994041,0.000081667975,0.000031973646,0.0000092343,0.0000022143497,0.0000017214842,0.00018771483,0.000002437058,0.00027884362],"genre_scores_gemma":[0.9990212,0.000058329868,0.000062179875,0.00000959842,0.000001710993,0.0000040624514,0.00023669149,0.0000018966132,0.0006043847],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975675,0.000037950966,0.00002757673,0.0000709321,0.00006018971,0.000046681776],"domain_scores_gemma":[0.9987901,0.00034150077,0.00042182326,0.00005636155,0.00023538577,0.0001548119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040800034,0.00019139974,0.00017237553,0.0007689482,0.00017154569,0.0003622924,0.0001980444,0.00031011782,0.0015824557],"category_scores_gemma":[0.0020789367,0.00012839044,0.00028974205,0.0004641128,0.00019215146,0.00048884074,0.00030951705,0.00012542766,0.00019633422],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015434244,0.00008574567,0.9792932,0.000057339865,0.00028519047,0.000109874,0.0002633803,0.0006444476,0.009533292,0.00007998201,0.00020900152,0.007895134],"study_design_scores_gemma":[0.0000022389218,0.00012821612,0.99925894,0.0000017188081,0.000022442202,0.000029219305,0.00008544292,0.00017328128,0.00022964535,0.000008557214,0.000058356938,0.0000019535187],"about_ca_topic_score_codex":0.0083741555,"about_ca_topic_score_gemma":0.024970014,"teacher_disagreement_score":0.0083741555,"about_ca_system_score_codex":0.0004157787,"about_ca_system_score_gemma":0.00017919927,"threshold_uncertainty_score":0.016650796},"labels":[],"label_agreement":null},{"id":"W2999312739","doi":"10.1016/j.fishres.2020.105502","title":"Impact of retrieval time and hook type on hooking depth in ice-angled northern pike caught on tip-ups","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"University of Winnipeg","keywords":"Pike; Hook; Fishing; Esox; Fishery; Sardine; Catch and release; Fish ; Environmental science; Biology; Medicine; Recreational fishing","score_opus":0.053386220405988304,"score_gpt":0.31681819284173646,"score_spread":0.2634319724357482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999312739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997954,0.00001729734,0.000009062661,0.0000048096367,0.000001757346,8.506581e-7,0.000029374756,7.0109496e-7,0.00014063394],"genre_scores_gemma":[0.99939716,0.00001857448,0.000037026137,0.000015141135,0.0000023070384,0.000001498578,0.000092604685,0.0000023569598,0.00043345263],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961746,0.00009249693,0.00003951412,0.000068814625,0.00005336633,0.00012826113],"domain_scores_gemma":[0.99769515,0.0008126987,0.00065154367,0.00009189548,0.00021511997,0.000533527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006651389,0.00020919263,0.0002758621,0.00039424456,0.00039274932,0.0007182974,0.00026055035,0.00039845362,0.002978109],"category_scores_gemma":[0.0035694675,0.00019894814,0.00045291297,0.0003293357,0.00033831905,0.0004593153,0.00048618775,0.00041034733,0.00037111362],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064796186,0.00007102206,0.99661726,0.0000052064943,0.000059265145,0.00008707973,0.00009004062,0.000057961322,0.0011603618,0.0000057843126,0.00003266658,0.0011652966],"study_design_scores_gemma":[0.0000016134153,0.000081454,0.99962723,0.0000012466105,0.000012041572,0.000026594777,0.00013611533,0.000051463066,0.00004587288,0.0000016923742,0.00001372264,9.53686e-7],"about_ca_topic_score_codex":0.036831513,"about_ca_topic_score_gemma":0.10253107,"teacher_disagreement_score":0.036831513,"about_ca_system_score_codex":0.00057721714,"about_ca_system_score_gemma":0.00040735307,"threshold_uncertainty_score":0.0732342},"labels":[],"label_agreement":null},{"id":"W3024750392","doi":"10.1016/j.fishres.2020.105598","title":"Whale shark-tuna associations, insights from a small pole-and-line fishery from the mid-north Atlantic","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Fundação para a Ciência e a Tecnologia; Fundo Regional para a Ciência e Tecnologia","keywords":"Tuna; Fishery; Whale; Yellowfin tuna; Fishing; Albacore; Skipjack tuna; Cetacea; Geography; Bay; Context (archaeology); Biology; Fish ","score_opus":0.07331723305003683,"score_gpt":0.27518459453544425,"score_spread":0.2018673614854074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024750392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989963,0.000052866373,0.000018446977,0.000066349705,0.0000024676979,0.0000014502422,0.0000564681,4.066205e-7,0.00080517895],"genre_scores_gemma":[0.9986411,0.000110318,0.000057572724,0.00006227744,0.00000375739,0.000002311576,0.00011496171,0.0000011279299,0.0010065708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999007,0.000014793681,0.000005357773,0.000022837048,0.000015197674,0.00004114332],"domain_scores_gemma":[0.9997081,0.000045260032,0.000057825666,0.000016890323,0.000067009125,0.0001049511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029686338,0.00015352902,0.00014729476,0.0007361104,0.0013716853,0.0007279002,0.00026151875,0.00027054726,0.0022205494],"category_scores_gemma":[0.0004885512,0.00011113622,0.00015697877,0.0006466496,0.00054048124,0.00057985674,0.00075259333,0.00027527937,0.00025410383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016935871,0.00008015556,0.9661456,0.000023438943,0.00004833388,0.00082291226,0.012347122,0.00006534306,0.0056103747,0.00030700903,0.0004994253,0.013880972],"study_design_scores_gemma":[0.000001613031,0.0000187609,0.9888278,0.000009202004,0.000010373716,0.000094711235,0.0102114845,0.000045906145,0.00007156779,0.00005465785,0.00065142213,0.0000024779001],"about_ca_topic_score_codex":0.19175658,"about_ca_topic_score_gemma":0.565889,"teacher_disagreement_score":0.19175658,"about_ca_system_score_codex":0.0007710147,"about_ca_system_score_gemma":0.0009426366,"threshold_uncertainty_score":0.38128084},"labels":[],"label_agreement":null},{"id":"W3027317128","doi":"10.1016/j.fishres.2020.105621","title":"Population structure and dynamics of the Atlantic mackerel (Scomber scombrus) in the North Atlantic inferred from otolith chemical and shape signatures","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Scomber; Otolith; Fishery; Population; Stock assessment; Geography; Oceanography; Bay; Scombridae; Mackerel; Stock (firearms); Biology; Geology; Fishing; Tuna; Fish ; Demography","score_opus":0.02546036730368758,"score_gpt":0.26426452617679475,"score_spread":0.23880415887310716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027317128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998627,0.00001173398,0.000013891694,0.000005526878,3.025305e-7,3.420987e-7,0.00002103587,5.6350655e-7,0.00008392934],"genre_scores_gemma":[0.9997712,0.000009868797,0.000038499897,0.0000043370496,7.8484817e-7,0.0000010673007,0.00006804679,6.553238e-7,0.00010544128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998964,0.000018866062,0.00000883899,0.00003679086,0.000017042556,0.000022024165],"domain_scores_gemma":[0.99952984,0.00009736826,0.00017656153,0.00003120017,0.000081261416,0.00008372675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027344076,0.00011784523,0.0001333601,0.00065006583,0.00032311995,0.00037858862,0.00021949396,0.00022805156,0.00086121244],"category_scores_gemma":[0.00077293545,0.0001453745,0.00014445726,0.00033018767,0.00042786956,0.00031383868,0.00036266906,0.00016653427,0.00018484361],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009341211,0.000018772453,0.9900502,0.0000059496997,0.00003593813,0.000042729636,0.00042889203,0.00020733278,0.005720947,0.00004258842,0.000058729496,0.0032945145],"study_design_scores_gemma":[0.0000016283594,0.000012571071,0.9994267,0.000001091739,0.0000049984383,0.000020053294,0.00012964697,0.00033009946,0.00003197785,0.000009078156,0.00003049451,0.0000017008747],"about_ca_topic_score_codex":0.03628582,"about_ca_topic_score_gemma":0.120140284,"teacher_disagreement_score":0.03628582,"about_ca_system_score_codex":0.00049336813,"about_ca_system_score_gemma":0.00021286361,"threshold_uncertainty_score":0.07214922},"labels":[],"label_agreement":null},{"id":"W3034137205","doi":"10.1016/j.fishres.2020.105637","title":"Fukui foldable traps versus fyke nets as options for fishing European green crabs (Carcinus maenas) in soft-bottom habitats: Exploring efficiency and limiting bycatch","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Bycatch; Carcinus maenas; Fishery; Fishing; Biology; Limiting; Environmental science; Decapoda; Crustacean; Engineering","score_opus":0.18535759479541603,"score_gpt":0.32010985335850645,"score_spread":0.13475225856309042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034137205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981914,0.0008658465,0.00015725137,0.00006446245,0.000016044321,0.00002156246,0.000032028365,0.000004640885,0.0006467246],"genre_scores_gemma":[0.99857116,0.00032374967,0.00053312886,0.000040994324,0.000008331887,0.00001540538,0.000022718028,0.0000016656464,0.000482911],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999432,0.00026257898,0.000044891898,0.00008631381,0.000074019736,0.00010009475],"domain_scores_gemma":[0.99890196,0.0005047198,0.0002341087,0.000036372036,0.000053991287,0.00026884116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012187603,0.0005320561,0.00042112765,0.0004869235,0.00032400526,0.0007392869,0.0005745457,0.00084701873,0.0035116267],"category_scores_gemma":[0.002509369,0.00015699373,0.00043916356,0.0001967221,0.0004349598,0.0016393595,0.00048700825,0.00032428524,0.00019698244],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.15824124,0.015911931,0.23799725,0.0019890382,0.001605482,0.0004936664,0.0012752792,0.012294231,0.023124294,0.0016071257,0.0010720949,0.5443883],"study_design_scores_gemma":[0.004262472,0.22887382,0.7028843,0.0010788386,0.002979158,0.0008335144,0.0073155616,0.03268393,0.012645968,0.0021680866,0.0040917154,0.00018252234],"about_ca_topic_score_codex":0.00318211,"about_ca_topic_score_gemma":0.019020272,"teacher_disagreement_score":0.0035116267,"about_ca_system_score_codex":0.00064870116,"about_ca_system_score_gemma":0.00043274183,"threshold_uncertainty_score":0.011747599},"labels":[],"label_agreement":null},{"id":"W3034806721","doi":"10.1016/j.fishres.2020.105646","title":"Detecting fine-scale population structure in the age of genomics: a case study of lake sturgeon in the Great Lakes","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Food and Agriculture; Great Lakes Fishery Trust","keywords":"Sturgeon; Lake sturgeon; Microsatellite; Genetic structure; Population; Biology; Single-nucleotide polymorphism; Fishery; Ecology; Acipenser; Fish ; Genetics; Genetic variation; Allele; Demography","score_opus":0.059118744363886803,"score_gpt":0.3022302690787459,"score_spread":0.24311152471485908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034806721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99918014,0.000021000753,0.0003411505,0.00008871478,7.785488e-7,0.000004390936,0.00002697252,0.000003648743,0.0003330022],"genre_scores_gemma":[0.9990815,0.000016941212,0.0006483695,0.00002889004,0.0000012204514,0.0000041276667,0.00003021541,0.000003067609,0.00018569066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995765,0.0002008889,0.0000122458205,0.00008145243,0.000041684238,0.000087132226],"domain_scores_gemma":[0.9985812,0.0007662021,0.00019722675,0.0001081855,0.00020223357,0.000144958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012240637,0.00019389823,0.00014875094,0.0006478661,0.00087515666,0.00053300883,0.00041944475,0.0006469335,0.0009803949],"category_scores_gemma":[0.0036534206,0.00016365277,0.00022266165,0.00057691213,0.0010149808,0.00066926464,0.0009323192,0.00043868888,0.00007968919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000666751,0.0000675551,0.97845995,0.000017851275,0.000063992826,0.00084073446,0.0043837246,0.0009085722,0.0036230958,0.00048820215,0.0003392646,0.010740362],"study_design_scores_gemma":[0.0000054048382,0.00008728559,0.987965,0.000011893802,0.0000413621,0.00031595098,0.0058074337,0.0040305792,0.00054423534,0.00061381,0.000564525,0.00001255721],"about_ca_topic_score_codex":0.073279,"about_ca_topic_score_gemma":0.21943934,"teacher_disagreement_score":0.073279,"about_ca_system_score_codex":0.00083143235,"about_ca_system_score_gemma":0.0006578812,"threshold_uncertainty_score":0.14570493},"labels":[],"label_agreement":null},{"id":"W3037419830","doi":"10.1016/j.fishres.2020.105671","title":"Seasonal variation in the survival of discarded Nephrops norvegicus in a NW Mediterranean bottom-trawl fishery","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"European Commission","keywords":"Nephrops norvegicus; Fishery; Mediterranean climate; Discards; Mediterranean sea; Fishing; Oceanography; Biology; Ecology; Crustacean; Geology; Decapoda","score_opus":0.08273719546908057,"score_gpt":0.31130632806304215,"score_spread":0.22856913259396158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037419830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99983394,0.000008623146,0.0000068702725,0.0000037512953,7.645277e-7,6.5602904e-7,0.000044705477,6.3272086e-7,0.00009996402],"genre_scores_gemma":[0.9995578,0.000011412862,0.000019664405,0.000009015059,0.000001694414,0.0000028491231,0.00014321305,0.0000011006538,0.00025324876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999175,0.000010891094,0.000006284566,0.000027572645,0.00001303512,0.00002470533],"domain_scores_gemma":[0.9994981,0.000056286997,0.00019529507,0.000024704696,0.00007033345,0.00015530922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022113897,0.00018110492,0.00019734245,0.0006699938,0.00032572576,0.0002775344,0.00026054762,0.00029199242,0.000952317],"category_scores_gemma":[0.00058418926,0.00013674684,0.0001516654,0.00029189972,0.00036108334,0.00025258545,0.00029507358,0.00020616775,0.00021588127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038243443,0.00007991553,0.98867726,0.000007570224,0.000046106583,0.00013108853,0.00033729707,0.00010980162,0.008246432,0.000017660801,0.00011310154,0.0018513714],"study_design_scores_gemma":[7.763338e-7,0.000025240071,0.9997812,5.165672e-7,0.0000028744676,0.000016717135,0.00007352411,0.000048523576,0.000028394012,0.0000026032724,0.00001885335,7.9054115e-7],"about_ca_topic_score_codex":0.018425478,"about_ca_topic_score_gemma":0.057745866,"teacher_disagreement_score":0.018425478,"about_ca_system_score_codex":0.0005338297,"about_ca_system_score_gemma":0.0002143698,"threshold_uncertainty_score":0.036636412},"labels":[],"label_agreement":null},{"id":"W3038441415","doi":"10.1016/j.fishres.2020.105685","title":"Increased catches of snow crab (Chionoecetes opilio) with luminescent-netting pots at long soak times","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Netting; Fishery; Carapace; Bycatch; Snow; Fishing; Environmental science; Catch per unit effort; American lobster; Crustacean; Biology; Geography; Homarus; Business","score_opus":0.043010897239797355,"score_gpt":0.27386532223867754,"score_spread":0.2308544249988802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038441415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996964,0.000022526941,0.00006811298,0.0000048182364,0.0000017541901,0.0000047701337,0.0000269587,0.0000036945485,0.00017103463],"genre_scores_gemma":[0.9979361,0.000058113517,0.0005915824,0.000031864904,0.0000031799896,0.000018528814,0.00012325663,0.0000056249455,0.0012317066],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99982905,0.000014442937,0.000011155019,0.00005312178,0.000048555106,0.000043679036],"domain_scores_gemma":[0.99967074,0.00003423121,0.00013236664,0.000022396041,0.000038829385,0.00010133719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016023642,0.0002868412,0.00022446901,0.0002535245,0.00029580787,0.00037445885,0.00021132105,0.00017915996,0.0011425143],"category_scores_gemma":[0.00032531578,0.00010781027,0.00034719353,0.0001548633,0.00029567958,0.0003591606,0.00028763706,0.00032803247,0.00014573621],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019143361,0.00084650115,0.09042601,0.00023648073,0.00012675211,0.00026261495,0.00054021034,0.00046674456,0.8871549,0.000060735594,0.0001583681,0.017806375],"study_design_scores_gemma":[0.000026489904,0.0048224865,0.93768114,0.00001860285,0.00007528703,0.00013935889,0.00037514855,0.00069050875,0.05502918,0.000021063513,0.0011042814,0.00001650874],"about_ca_topic_score_codex":0.017629238,"about_ca_topic_score_gemma":0.06962892,"teacher_disagreement_score":0.017629238,"about_ca_system_score_codex":0.0009084299,"about_ca_system_score_gemma":0.00035531053,"threshold_uncertainty_score":0.035053253},"labels":[],"label_agreement":null},{"id":"W3040068570","doi":"10.1016/j.fishres.2020.105680","title":"Gone to shell: Removal of a million tonnes of snow crab since cod moratorium in the Newfoundland and Labrador fishery","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishery; Fishing; Gadus; Stock (firearms); Atlantic cod; Overexploitation; Snow; Haddock; Geography; Fish stock; Fish ; Biology; Archaeology","score_opus":0.05729032739054628,"score_gpt":0.3020716410222113,"score_spread":0.244781313631665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040068570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957361,0.00035140372,0.000032149634,0.0012792845,0.000055976983,0.00000361473,0.00085310487,0.0000057157213,0.0016826377],"genre_scores_gemma":[0.9943568,0.00029254655,0.000083454994,0.00055770716,0.000026527747,0.000004198075,0.00082166155,0.0000036546212,0.0038533853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999808,0.000011435681,0.000014097473,0.000022578497,0.00003815105,0.000105809326],"domain_scores_gemma":[0.99948174,0.000027875667,0.00020194704,0.000012540797,0.0001238671,0.00015205445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002793542,0.000132671,0.00012647446,0.00044751656,0.00083365676,0.0006075971,0.00048575207,0.0007609443,0.0029086857],"category_scores_gemma":[0.0008907172,0.00016781029,0.00025965786,0.0003728109,0.00052662817,0.00035877374,0.00072613586,0.00060425943,0.00028158538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015944899,0.000050555704,0.98371226,0.000045629564,0.00006352243,0.00055810437,0.00070490676,0.0001330546,0.00056253426,0.000100709585,0.0048864433,0.009022901],"study_design_scores_gemma":[0.0000010036762,0.000013164224,0.997747,0.0000106558955,0.000009202476,0.000089392764,0.0010154205,0.000029695644,0.00004345949,0.000006497352,0.0010323897,0.00000217764],"about_ca_topic_score_codex":0.7286693,"about_ca_topic_score_gemma":0.91815144,"teacher_disagreement_score":0.2713307,"about_ca_system_score_codex":0.0029018428,"about_ca_system_score_gemma":0.00245402,"threshold_uncertainty_score":0.54585725},"labels":[],"label_agreement":null},{"id":"W3080976578","doi":"10.1016/j.fishres.2020.105719","title":"Effects of 3D seismic surveying on snow crab fishery","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Research Council","keywords":"Snow; Seismic survey; Fishery; Environmental science; Noise (video); Oceanography; Geology; Seismology; Biology; Geomorphology","score_opus":0.08260963514126177,"score_gpt":0.30848896699928346,"score_spread":0.2258793318580217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080976578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986356,0.000053841366,0.000721939,0.000018897594,0.000008602797,0.000014606715,0.00009747431,0.000013725444,0.00043537994],"genre_scores_gemma":[0.9973869,0.00015512932,0.0014725527,0.000050318424,0.000011376851,0.000075151474,0.00019111665,0.0000078375015,0.00064969686],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99965966,0.00006791104,0.000027373382,0.00008061582,0.000106164945,0.000058211994],"domain_scores_gemma":[0.9993456,0.00017440249,0.00023124591,0.00006511279,0.000103541344,0.00008009278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029928403,0.0003345681,0.00022595623,0.0003454142,0.00031142918,0.0003468777,0.00020526665,0.0003019592,0.0014707042],"category_scores_gemma":[0.0007573875,0.00016434318,0.00038665312,0.0002602564,0.00035557756,0.00016876809,0.0006460367,0.0002710644,0.00015364031],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006275734,0.0017171331,0.24010271,0.00040350226,0.00025480418,0.00051691453,0.0018741171,0.0060262536,0.6599838,0.00016836358,0.00041623836,0.08226044],"study_design_scores_gemma":[0.000029583325,0.010315705,0.94915265,0.000026901474,0.00013271079,0.00011104328,0.0011125661,0.0017539222,0.035280593,0.0001044482,0.0019442386,0.00003569901],"about_ca_topic_score_codex":0.005040775,"about_ca_topic_score_gemma":0.017101068,"teacher_disagreement_score":0.005040775,"about_ca_system_score_codex":0.00040616517,"about_ca_system_score_gemma":0.0004045671,"threshold_uncertainty_score":0.010022819},"labels":[],"label_agreement":null},{"id":"W3093049564","doi":"10.1016/j.fishres.2020.105768","title":"Estimating fishing effort across the landscape: A spatially extensive approach using models to integrate multiple data sources","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Wisconsin Department of Natural Resources; National Science Foundation","keywords":"Fishing; Sampling (signal processing); Environmental science; Fishery; Data collection; Geography; Statistics; Computer science; Mathematics","score_opus":0.20953999552173813,"score_gpt":0.35174624104210284,"score_spread":0.1422062455203647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093049564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6690511,0.0004915017,0.3271432,0.0003677865,0.000019172416,0.00010137624,0.0010233833,0.00037309993,0.0014293],"genre_scores_gemma":[0.92448777,0.00019442018,0.073491365,0.000042104377,0.000017716708,0.00012271179,0.0009782902,0.000027596534,0.0006380117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987141,0.00059063,0.000109329674,0.00038632014,0.00012734845,0.000072318544],"domain_scores_gemma":[0.99629587,0.0023546035,0.00046843902,0.00053534005,0.00024038415,0.000105353094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029910025,0.00082217396,0.0011909254,0.00289761,0.0007523029,0.001751923,0.0013276853,0.0011783465,0.0008222348],"category_scores_gemma":[0.008174198,0.001249554,0.001765814,0.0034266817,0.0005073966,0.0025870614,0.0021724498,0.00057817466,0.00014319964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008145899,0.00023217943,0.07953593,0.000055096254,0.0010537505,0.00016512246,0.00018352216,0.8736275,0.00096395804,0.001971096,0.00034761912,0.041782778],"study_design_scores_gemma":[0.000013953799,0.00005235188,0.017839566,0.000017615886,0.00015755917,0.00005436305,0.00011224855,0.9777077,0.0002023206,0.003515797,0.00030207323,0.000024432129],"about_ca_topic_score_codex":0.045426413,"about_ca_topic_score_gemma":0.07316228,"teacher_disagreement_score":0.045426413,"about_ca_system_score_codex":0.001109954,"about_ca_system_score_gemma":0.0013501908,"threshold_uncertainty_score":0.090324044},"labels":[],"label_agreement":null},{"id":"W3117923601","doi":"10.1016/j.fishres.2020.105842","title":"Modeling round goby growth in Lake Michigan and Lake Huron with multi-model inference","year":2020,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"","keywords":"Round goby; Neogobius; Gompertz function; Goby; Fishery; Growth model; Selection (genetic algorithm); Ecology; Fish ; Statistics; Biology; Computer science; Mathematics; Machine learning","score_opus":0.09409785586096409,"score_gpt":0.3089027352370602,"score_spread":0.2148048793760961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117923601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947307,0.00006004364,0.0040001865,0.00028402545,0.000009450277,0.000008704434,0.00036572182,0.000064517146,0.0004766049],"genre_scores_gemma":[0.99708956,0.000022586124,0.0014381502,0.000026829744,0.000005988684,0.000014175491,0.00036915715,0.000014831354,0.0010188222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997811,0.000075576674,0.000010729945,0.000066414745,0.000014257824,0.000051899668],"domain_scores_gemma":[0.9978193,0.0016219156,0.00020549035,0.00006948489,0.00012696891,0.00015688722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012509825,0.0006184805,0.0006353959,0.00046539382,0.0007062905,0.00093776296,0.0011698696,0.00115759,0.0015883],"category_scores_gemma":[0.0043298756,0.0009082457,0.00071330776,0.0004610856,0.00064349425,0.0010402075,0.0007158325,0.0008121313,0.00015802478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012830179,0.000057598423,0.04100978,0.000009695043,0.000085362495,0.000057408954,0.000049829174,0.95508987,0.00021544122,0.00056295935,0.00037017485,0.002363545],"study_design_scores_gemma":[0.0000055107967,0.0000065171716,0.004571568,0.0000011388746,0.000009296681,0.0000029586845,0.000018722945,0.99516195,0.000029866784,0.00015846745,0.000030613628,0.0000033628116],"about_ca_topic_score_codex":0.32718718,"about_ca_topic_score_gemma":0.3831629,"teacher_disagreement_score":0.32718718,"about_ca_system_score_codex":0.0027936262,"about_ca_system_score_gemma":0.0013509485,"threshold_uncertainty_score":0.6505655},"labels":[],"label_agreement":null},{"id":"W3122574357","doi":"10.1016/j.fishres.2021.105881","title":"Physiological effects of catch-and-release angling on freshwater drum (Aplodinotus grunniens)","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada; University of Winnipeg","keywords":"Fishing; Fishery; Freshwater fish; Reflex; Biology; Catch and release; Physiology; Animal science; Medicine; Fish ; Internal medicine; Recreational fishing","score_opus":0.035873637943517785,"score_gpt":0.2867018169346351,"score_spread":0.2508281789911173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122574357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996929,0.00002499544,0.000010526098,0.0000087285225,0.0000036584922,0.0000025019658,0.000060424078,0.0000018886477,0.00019438335],"genre_scores_gemma":[0.9987637,0.000058972582,0.000051999763,0.00005012949,0.000005832109,0.000011633906,0.00019266548,0.0000035109263,0.0008615206],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999341,0.0000114434715,0.000004539189,0.000021441376,0.000008302207,0.000020113266],"domain_scores_gemma":[0.9995134,0.00012101563,0.00010675713,0.000021812344,0.000028140343,0.00020890513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013191222,0.0003861641,0.00020762399,0.00021242931,0.00030215012,0.00030237346,0.00019295211,0.00032430785,0.0020080982],"category_scores_gemma":[0.0005059914,0.0001999677,0.00016409,0.00012249808,0.00026599204,0.00029846994,0.0003113514,0.00056854746,0.00029151898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.033268724,0.0032293177,0.2618998,0.00023099888,0.00024964954,0.0011172262,0.0008107671,0.0007003812,0.67889726,0.00017295704,0.00070524984,0.0187177],"study_design_scores_gemma":[0.000052390682,0.0035574858,0.98790795,0.0000042576735,0.000042710675,0.00011106678,0.00028738228,0.00031043575,0.0075316494,0.00002723717,0.00015593636,0.000011524719],"about_ca_topic_score_codex":0.0034170584,"about_ca_topic_score_gemma":0.010831636,"teacher_disagreement_score":0.0034170584,"about_ca_system_score_codex":0.00033873747,"about_ca_system_score_gemma":0.00018458857,"threshold_uncertainty_score":0.0067943335},"labels":[],"label_agreement":null},{"id":"W3136983124","doi":"10.1016/j.fishres.2021.105920","title":"Parentage-based tagging combined with genetic stock identification is a cost-effective and viable replacement for coded-wire tagging in large-scale assessments of Canadian salmon fisheries","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Genome British Columbia; Government of Canada; Genome Canada","keywords":"Chinook wind; Oncorhynchus; Fishery; Stock assessment; Stock (firearms); Identification (biology); Limiting; Fisheries management; Environmental science; Fish ; Biology; Fishing; Ecology; Geography; Engineering","score_opus":0.03438809782440869,"score_gpt":0.3141190833495378,"score_spread":0.2797309855251291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136983124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8701132,0.001785763,0.11008977,0.0013058401,0.00056510634,0.0015232218,0.00464306,0.0011658526,0.008808122],"genre_scores_gemma":[0.7443311,0.0012955243,0.23861273,0.00072882033,0.00008275792,0.0005975887,0.0034471275,0.00013402085,0.010770306],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976235,0.00065575057,0.00012732968,0.00029632694,0.0011736583,0.00012339391],"domain_scores_gemma":[0.9932104,0.0019765522,0.0009607259,0.0006347867,0.0027915756,0.00042599562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040548407,0.0006066548,0.0006153437,0.0020625796,0.00066901185,0.0010894918,0.0016426469,0.0009270448,0.0027034252],"category_scores_gemma":[0.008644586,0.0004393206,0.00053176784,0.0014328088,0.00046110273,0.0015343495,0.0006241475,0.0004658128,0.0015521907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012712664,0.00068281573,0.4680631,0.00029830963,0.00033324148,0.00038026535,0.00038605664,0.0039183935,0.054111667,0.00040785933,0.008729718,0.46141726],"study_design_scores_gemma":[0.0002695474,0.0024003095,0.9036306,0.00022926161,0.00081047387,0.0012742958,0.0010041909,0.062286377,0.017444799,0.0010116972,0.009249536,0.0003888763],"about_ca_topic_score_codex":0.23691534,"about_ca_topic_score_gemma":0.5965197,"teacher_disagreement_score":0.76308465,"about_ca_system_score_codex":0.0012702516,"about_ca_system_score_gemma":0.0026474698,"threshold_uncertainty_score":0.47107267},"labels":[],"label_agreement":null},{"id":"W3144098011","doi":"10.1016/j.fishres.2021.105956","title":"A gaussian field approach to generating spatial age length keys","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"Canada First Research Excellence Fund","keywords":"Gaussian; Spatial analysis; Statistics; Sampling (signal processing); Population; Spatial variability; Spatial correlation; Computer science; Sample size determination; Spatial ecology; Field (mathematics); Cartography; Geography; Mathematics; Ecology; Demography; Biology","score_opus":0.17346327286312044,"score_gpt":0.30851652585733425,"score_spread":0.1350532529942138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144098011","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071733817,0.00009521165,0.991516,0.0001541412,0.00003059189,0.00003915398,0.00026375544,0.00020418114,0.0005236922],"genre_scores_gemma":[0.37597495,0.00072290126,0.60844076,0.00025135832,0.00020462873,0.00043140436,0.0025873007,0.0002035423,0.011183197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986689,0.00054474495,0.00007315452,0.00034049727,0.00024816443,0.00012455248],"domain_scores_gemma":[0.98909026,0.0075932923,0.0005203345,0.0013970152,0.0011620729,0.00023694543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062754755,0.0004838952,0.0009337398,0.002828804,0.0008010623,0.001321566,0.0026395658,0.0018851649,0.004673868],"category_scores_gemma":[0.01952944,0.00083223765,0.0015461346,0.0033394708,0.0012505238,0.0024150512,0.0016358303,0.0015435618,0.001135423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010254762,0.00009468163,0.005656595,0.00007631507,0.00009179309,0.00014177953,0.00026417998,0.5626762,0.0013526041,0.30693755,0.0049813036,0.117624395],"study_design_scores_gemma":[0.000011052606,0.000015152688,0.00072954444,0.000014256913,0.000011300756,0.000036759262,0.000022879069,0.94018155,0.0002992915,0.05737225,0.0012873068,0.000018724102],"about_ca_topic_score_codex":0.020405158,"about_ca_topic_score_gemma":0.017542498,"teacher_disagreement_score":0.020405158,"about_ca_system_score_codex":0.0014464256,"about_ca_system_score_gemma":0.0019019165,"threshold_uncertainty_score":0.040572822},"labels":[],"label_agreement":null},{"id":"W3152641121","doi":"10.1016/j.fishres.2021.105961","title":"COVID-19 restrictions and recreational fisheries in Ontario, Canada: Preliminary insights from an online angler survey","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Adventure Sports and Sensation Seeking","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; Carleton University","keywords":"Recreation; Fishing; Pandemic; Recreational fishing; Fishery; Geography; Coronavirus disease 2019 (COVID-19); Popularity; Mental health; Business; Environmental resource management; Psychology; Ecology; Economics; Medicine; Biology; Infectious disease (medical specialty)","score_opus":0.20980053247412614,"score_gpt":0.3869652983944695,"score_spread":0.1771647659203434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152641121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98972696,0.00025443253,0.00007611837,0.00040075756,0.000008377123,0.000048809874,0.0015814945,0.0000032870137,0.007899788],"genre_scores_gemma":[0.98795265,0.00072101253,0.00023719757,0.00023844886,0.000007317859,0.000052616575,0.0010457622,0.0000063338034,0.009738767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930465,0.000071236944,0.00003387217,0.000077765224,0.00025753665,0.0002549439],"domain_scores_gemma":[0.9965283,0.00036220005,0.0008014797,0.00010361946,0.0013127485,0.0008916683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000671899,0.00017473151,0.00026030553,0.0010306175,0.0036698752,0.00154613,0.00064329617,0.0003884305,0.004444087],"category_scores_gemma":[0.0023490542,0.0003188757,0.0002500213,0.0031260771,0.00090834167,0.00064787414,0.00083739794,0.000692678,0.00045406414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005537661,0.000088197456,0.9771279,0.000044605975,0.000018730012,0.00008820444,0.012292133,0.00003957335,0.000307773,0.00021369151,0.0017869363,0.007936775],"study_design_scores_gemma":[0.0000020349164,0.000013056115,0.98540014,0.000024574529,0.0000047431454,0.000010781599,0.012520168,0.000036111196,0.000023128383,0.000013820286,0.0019468551,0.000004513415],"about_ca_topic_score_codex":0.99399334,"about_ca_topic_score_gemma":0.9989085,"teacher_disagreement_score":0.0143959625,"about_ca_system_score_codex":0.0143959625,"about_ca_system_score_gemma":0.020119103,"threshold_uncertainty_score":0.104450464},"labels":[],"label_agreement":null},{"id":"W3154774133","doi":"10.1016/j.fishres.2021.105954","title":"Effect of environmental factors and density-dependence on somatic growth of Eastern Georges Bank haddock (Melanogrammus aeglefinus)","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Haddock; Fishery; Salinity; Algal bloom; Abiotic component; Phytoplankton; Oceanography; Population; Biology; Fish ; Environmental science; Ecology; Demography; Geology","score_opus":0.021891875796959004,"score_gpt":0.27192530259115116,"score_spread":0.25003342679419216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154774133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997533,0.000019696708,0.000006623899,0.0000041322746,6.806315e-7,4.5853423e-7,0.000044781962,6.3691715e-7,0.00016974291],"genre_scores_gemma":[0.9994634,0.000016012364,0.000019521296,0.000011333045,0.0000010592325,0.0000019023448,0.00012874832,0.0000012633108,0.00035678718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991953,0.000017074039,0.0000070642777,0.00002482671,0.000012172441,0.00001933687],"domain_scores_gemma":[0.9992804,0.00024151226,0.00015878158,0.000033584372,0.00006718966,0.00021850945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014539876,0.00016959776,0.00016648999,0.00037231526,0.00031692965,0.00036512222,0.0002838352,0.0002007925,0.0019439851],"category_scores_gemma":[0.00059596344,0.00016528374,0.00013136232,0.00018529323,0.00038337856,0.0002741087,0.00039183532,0.00027218653,0.00026994717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015492975,0.00028043948,0.9382678,0.000037922815,0.00013188357,0.0002865177,0.00027198915,0.00038283307,0.05438844,0.00007657296,0.00020541334,0.004120725],"study_design_scores_gemma":[0.0000025774577,0.0000661361,0.99925524,0.0000014619006,0.000009166597,0.000038986414,0.000079584555,0.000118284384,0.0003871022,0.000008186637,0.000031587133,0.0000017355798],"about_ca_topic_score_codex":0.0127190305,"about_ca_topic_score_gemma":0.057326406,"teacher_disagreement_score":0.0127190305,"about_ca_system_score_codex":0.0006434801,"about_ca_system_score_gemma":0.0002464729,"threshold_uncertainty_score":0.025290012},"labels":[],"label_agreement":null},{"id":"W3154899809","doi":"10.1016/j.fishres.2021.105968","title":"Investigating the performance of a roller footgear in the offshore shrimp fishery of Eastern Canada using underwater video","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Ocean Frontier Institute","keywords":"Fishery; Seabed; Shrimp; Oceanography; Trawling; Submarine pipeline; Bottom trawling; Benthic zone; Underwater; Marine engineering; Environmental science; Geology; Fishing; Engineering; Biology","score_opus":0.06862442354571863,"score_gpt":0.2844959244209608,"score_spread":0.21587150087524215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154899809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988532,0.00004693421,0.00015614508,0.000008936535,0.0000024474245,0.0000121715375,0.00013628246,0.0000041359,0.00077964953],"genre_scores_gemma":[0.99640274,0.0001690068,0.0008108935,0.000023005594,0.0000018923406,0.000012559262,0.0003798139,0.0000057066186,0.002194493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975437,0.000014193925,0.0000076672495,0.00004499533,0.00009679891,0.00008207582],"domain_scores_gemma":[0.9993593,0.00006662654,0.00010606536,0.00001247967,0.00036050894,0.000095031595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025108838,0.0003766517,0.00017158988,0.0006085296,0.00062979944,0.0005645986,0.00033381395,0.00022231118,0.0011254166],"category_scores_gemma":[0.0008694329,0.00015563589,0.00015587932,0.0005716577,0.0003250752,0.00020412664,0.00025511585,0.0002368707,0.0003355126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078170083,0.00027593615,0.8067922,0.00022261144,0.000120136254,0.00062446704,0.0034984373,0.0018012895,0.14146034,0.000107480744,0.00061919005,0.043696232],"study_design_scores_gemma":[0.0000028072864,0.00035313543,0.9913455,0.000013098063,0.000025750338,0.000052522624,0.0021190864,0.0010178096,0.0044938438,0.000006791091,0.0005589783,0.000010664869],"about_ca_topic_score_codex":0.6251758,"about_ca_topic_score_gemma":0.8637161,"teacher_disagreement_score":0.37482423,"about_ca_system_score_codex":0.0021747684,"about_ca_system_score_gemma":0.0016586542,"threshold_uncertainty_score":0.75406325},"labels":[],"label_agreement":null},{"id":"W3163401432","doi":"10.1016/j.fishres.2021.105952","title":"Scrabbling around for understanding of natural mortality","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"European Maritime and Fisheries Fund; Nordisk Ministerråd","keywords":"Natural (archaeology); Geography; Archaeology","score_opus":0.5393477255929207,"score_gpt":0.47540939260075576,"score_spread":0.06393833299216489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163401432","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05033651,0.1362412,0.30803353,0.31704286,0.03228959,0.00029021892,0.0013920793,0.0013270422,0.15304697],"genre_scores_gemma":[0.50675166,0.10551932,0.1576006,0.07865201,0.015529174,0.0002936546,0.0012072122,0.0010635714,0.13338281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990275,0.0003760836,0.00007908317,0.00025077438,0.00018847844,0.00007805738],"domain_scores_gemma":[0.9953069,0.0019608566,0.00043020648,0.00090711087,0.0010494153,0.00034538636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031960143,0.0009865646,0.0008487429,0.0016444598,0.0021597103,0.00466973,0.0021616986,0.0020176338,0.03389685],"category_scores_gemma":[0.00966419,0.00041825947,0.0009142246,0.001113068,0.0064784037,0.014789847,0.003123996,0.006211895,0.0070077893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014378662,0.00013666034,0.013773712,0.001625536,0.00012123265,0.00042406056,0.004310704,0.0022667176,0.00626472,0.53737295,0.07963235,0.35392758],"study_design_scores_gemma":[0.000009591383,0.00009747486,0.010171469,0.0015146863,0.00005298267,0.000504678,0.004209613,0.0025379541,0.0015158219,0.6062283,0.37307942,0.00007798197],"about_ca_topic_score_codex":0.009374041,"about_ca_topic_score_gemma":0.0105563095,"teacher_disagreement_score":0.03389685,"about_ca_system_score_codex":0.001293655,"about_ca_system_score_gemma":0.0020244468,"threshold_uncertainty_score":0.11339623},"labels":[],"label_agreement":null},{"id":"W3164872399","doi":"10.1016/j.fishres.2021.106016","title":"A comparison of passive and active gear in fish community assessments in summer versus winter","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Bank of Canada","keywords":"Fish ; Environmental science; Fishery; Oceanography; Geography; Biology; Geology","score_opus":0.17269183613967964,"score_gpt":0.4384861657127387,"score_spread":0.26579432957305904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164872399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969999,0.0003114883,0.0011851413,0.000041003896,0.000021891989,0.000031074072,0.00021202171,0.000011117759,0.0011862059],"genre_scores_gemma":[0.9960204,0.00016884772,0.002578225,0.000042513842,0.000015354704,0.000052411644,0.00021730197,0.000014006428,0.0008910851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771464,0.0011447959,0.0002170274,0.00026324406,0.00041649374,0.00024372112],"domain_scores_gemma":[0.99155676,0.004402178,0.0010428698,0.00035851297,0.0018471905,0.0007925189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068007354,0.00035380994,0.0004994951,0.001266623,0.0005729148,0.0007191285,0.0006047653,0.0005474965,0.001238877],"category_scores_gemma":[0.010335983,0.00028203407,0.0004944736,0.0007312974,0.00028419073,0.001173061,0.00084139674,0.00030992308,0.000291292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009965172,0.00041018616,0.9142543,0.00025676223,0.00028889818,0.000076526674,0.0023598091,0.0005027175,0.014718085,0.00013225776,0.00041140753,0.05662385],"study_design_scores_gemma":[0.00006455296,0.0020486237,0.99255013,0.000051381267,0.00017067541,0.0000878178,0.001636457,0.001108607,0.0014939795,0.00009471447,0.0006786766,0.000014219133],"about_ca_topic_score_codex":0.0092846,"about_ca_topic_score_gemma":0.0627213,"teacher_disagreement_score":0.0092846,"about_ca_system_score_codex":0.0005084019,"about_ca_system_score_gemma":0.00074850715,"threshold_uncertainty_score":0.035966158},"labels":[],"label_agreement":null},{"id":"W3171985947","doi":"10.1016/j.fishres.2021.106034","title":"Hook retention but not hooking injury is associated with behavioral differences in Bluegill","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Hook; Catch and release; Fish ; Fishing; Fish physiology; Fishery; Biology; Recreational fishing; Ecology; Medicine","score_opus":0.09128497159237252,"score_gpt":0.31523997535499865,"score_spread":0.22395500376262611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171985947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998617,0.00001720118,0.000009177883,0.000012562529,0.0000014156668,8.143668e-7,0.000015507136,0.000001504303,0.000080051264],"genre_scores_gemma":[0.9994623,0.000015595024,0.00003436375,0.00004713841,0.0000028922848,0.0000042216593,0.00006733751,0.000002170572,0.0003639515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998497,0.000027387881,0.000010322135,0.00004198596,0.000024790268,0.000045758024],"domain_scores_gemma":[0.99873155,0.00016279084,0.0006542389,0.000059891,0.0000643089,0.00032727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025636892,0.0002770432,0.00019844156,0.00064332166,0.00026239638,0.00036066188,0.00026091802,0.0005756936,0.0025266537],"category_scores_gemma":[0.0011502008,0.0002688112,0.00021375524,0.00026966087,0.00045110783,0.0002827443,0.00035340944,0.00040225888,0.0001904135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006221338,0.00020373988,0.97180295,0.000018384391,0.00007062548,0.00020446241,0.00024101073,0.000043153887,0.024952339,0.000023208418,0.00010669074,0.0017112866],"study_design_scores_gemma":[0.0000015078384,0.000049935894,0.9997954,8.7713295e-7,0.0000025647116,0.000023530909,0.000039424976,0.000020701475,0.000052765456,0.000004564708,0.000008013994,7.7011157e-7],"about_ca_topic_score_codex":0.0079608355,"about_ca_topic_score_gemma":0.016036656,"teacher_disagreement_score":0.0079608355,"about_ca_system_score_codex":0.00030585006,"about_ca_system_score_gemma":0.00021470526,"threshold_uncertainty_score":0.015828967},"labels":[],"label_agreement":null},{"id":"W3180426113","doi":"10.1016/j.fishres.2021.106056","title":"Influence of artificial lure hook type on hooking characteristics, handling, and injury of angled freshwater gamefish","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hook; Micropterus; Bass (fish); Fishery; Catch and release; Esox; Recreational fishing; Fish ; Biology; Pike; Zoology; Medicine","score_opus":0.02996093146381688,"score_gpt":0.29378368106132824,"score_spread":0.26382274959751134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180426113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998921,0.000008000397,0.000013659182,0.000001907049,7.1246944e-7,9.0272675e-7,0.000012483228,5.1057157e-7,0.000069724],"genre_scores_gemma":[0.9996387,0.000010243621,0.00005743759,0.000006840422,9.760098e-7,0.0000024904941,0.000030703046,0.0000010480768,0.00025161004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975187,0.00007662438,0.000027363925,0.00004984123,0.00004425621,0.000050001196],"domain_scores_gemma":[0.9984384,0.000586335,0.00045518315,0.00008860861,0.00013921081,0.00029223852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027961293,0.0002083498,0.00014279861,0.0003159597,0.00015774567,0.0003624178,0.00016528263,0.00022166184,0.0014484616],"category_scores_gemma":[0.0018567939,0.00014238812,0.00021504966,0.0001770253,0.0003854151,0.00020417607,0.00023792955,0.00025865296,0.00014478629],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029357264,0.00042561186,0.961364,0.00002539431,0.00010301502,0.00021480232,0.00017845717,0.00027228444,0.029593494,0.000019357354,0.000059797043,0.004808142],"study_design_scores_gemma":[0.0000046153964,0.00065482606,0.99840206,0.0000015737727,0.000013582142,0.00005066878,0.000110361565,0.00014796964,0.00057233125,0.0000040495975,0.00003559521,0.0000023333857],"about_ca_topic_score_codex":0.004741517,"about_ca_topic_score_gemma":0.016845837,"teacher_disagreement_score":0.004741517,"about_ca_system_score_codex":0.00034568697,"about_ca_system_score_gemma":0.00017942888,"threshold_uncertainty_score":0.0094278455},"labels":[],"label_agreement":null},{"id":"W3183628169","doi":"10.1016/j.fishres.2021.106084","title":"Ice-fishing handling practices and their effects on the short-term post-release behaviour of Largemouth bass","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Fisheries and Oceans Canada; Carleton University","funders":"Ontario Ministry of Natural Resources and Forestry","keywords":"Fishing; Catch and release; Environmental science; Fishery; Climate change; Skin temperature; Ecology; Biology; Recreational fishing","score_opus":0.055447894129005644,"score_gpt":0.317577327715673,"score_spread":0.26212943358666735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183628169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99979967,0.00003311582,0.000006053011,0.000008543126,0.0000022797783,0.0000010699177,0.000036917092,4.8654636e-7,0.00011180854],"genre_scores_gemma":[0.99937373,0.000051616124,0.000020402671,0.00001309517,0.000004818377,0.0000038172448,0.000104144405,0.0000012180348,0.00042731446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998185,0.000050587114,0.00002007237,0.000037219088,0.000026805754,0.000046904537],"domain_scores_gemma":[0.9978763,0.0006466117,0.0007013557,0.00007542729,0.00012536287,0.0005748972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041601376,0.00023246463,0.000169403,0.00031516486,0.0003006877,0.00057500234,0.00020160244,0.00030789126,0.0018050196],"category_scores_gemma":[0.0018760407,0.00014145438,0.00032231142,0.0002678876,0.0003177862,0.0003289516,0.00028669194,0.00050272566,0.00023077588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003726012,0.0009009522,0.98162395,0.000023779277,0.00014914697,0.00021294161,0.0004361218,0.00013402652,0.0060735894,0.000024270259,0.000119716504,0.006575507],"study_design_scores_gemma":[0.0000020369075,0.00020376827,0.99952376,0.0000011494323,0.0000084202,0.000018319635,0.00011837407,0.000032143256,0.00006416814,0.0000031940158,0.000023279534,0.0000015385607],"about_ca_topic_score_codex":0.010580926,"about_ca_topic_score_gemma":0.038414426,"teacher_disagreement_score":0.010580926,"about_ca_system_score_codex":0.0004127218,"about_ca_system_score_gemma":0.00021422327,"threshold_uncertainty_score":0.021038651},"labels":[],"label_agreement":null},{"id":"W3209253636","doi":"10.1016/j.fishres.2021.106157","title":"Fishing for survival: Importance of shark fisheries for the livelihoods of coastal communities in Western Ghana","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Save Our Seas Foundation","keywords":"Fishing; Livelihood; Fishery; Carcharhinus; Business; Fisheries management; Geography; Biology; Agriculture","score_opus":0.1039720890989073,"score_gpt":0.3467255150432725,"score_spread":0.24275342594436516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209253636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99809057,0.00023490908,0.000017683291,0.0005632503,0.0000027894494,0.0000027874123,0.000041936357,6.959127e-7,0.0010453884],"genre_scores_gemma":[0.9993944,0.00024388781,0.000048287926,0.000031815995,0.000002334022,0.000002504503,0.00001222681,6.0677223e-7,0.00026394468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984026,0.000049224713,0.000009721211,0.000016159067,0.000017500284,0.00006704669],"domain_scores_gemma":[0.9994677,0.00008906623,0.0002356178,0.000010581018,0.000064065185,0.00013297472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002961002,0.00015391628,0.00013281859,0.0004113035,0.00078565616,0.00049520517,0.00025897965,0.00026064253,0.0035098505],"category_scores_gemma":[0.0010379802,0.000119656295,0.0000871702,0.00093410874,0.00060736755,0.00065393053,0.0005383529,0.0003342139,0.00014646229],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085673564,0.000029156969,0.9612259,0.00013717728,0.000021230057,0.0013697629,0.013989835,0.00009209428,0.0012245919,0.0007497855,0.00064709404,0.020427708],"study_design_scores_gemma":[0.0000041295325,0.000026827456,0.9632898,0.00010511981,0.000012300813,0.0003731818,0.034762815,0.00011725475,0.00005080538,0.00020464828,0.0010489549,0.0000040473474],"about_ca_topic_score_codex":0.10101225,"about_ca_topic_score_gemma":0.29934236,"teacher_disagreement_score":0.10101225,"about_ca_system_score_codex":0.0011271327,"about_ca_system_score_gemma":0.0014275318,"threshold_uncertainty_score":0.20084858},"labels":[],"label_agreement":null},{"id":"W4200055335","doi":"10.1016/j.fishres.2021.106201","title":"Evaluating different hook removal gear for in-water dehooking of jaw-hooked fish captured with barbed or barbless hooks","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Carleton University","keywords":"Hook; Fish ; Fishery; Catch and release; Significant difference; Recreational fishing; Biology; Medicine","score_opus":0.113683947658207,"score_gpt":0.3592711787106059,"score_spread":0.24558723105239888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200055335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994387,0.000040897663,0.00025053642,0.0000055928176,0.000008088094,0.00005252586,0.000038357855,0.0000040230875,0.00016120424],"genre_scores_gemma":[0.99707735,0.00009852672,0.0019944292,0.000024723537,0.000005909777,0.00008324895,0.0001065207,0.0000042050433,0.00060494506],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921834,0.00016430077,0.000104431536,0.0001821004,0.00018145774,0.00014939751],"domain_scores_gemma":[0.99817777,0.0007357928,0.00044354243,0.0000658883,0.00030330766,0.00027380898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012838513,0.0005796625,0.0003853986,0.000458112,0.00032460326,0.0003627593,0.0005481521,0.0006519672,0.0017322049],"category_scores_gemma":[0.0039714943,0.00022493242,0.0009068711,0.00017709045,0.00030572468,0.00049801246,0.00032775674,0.00023188817,0.00032996485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.032651808,0.0070620864,0.75921154,0.0010556853,0.00077222806,0.00029244594,0.0014679016,0.002296387,0.06689792,0.000103236496,0.00022113507,0.12796766],"study_design_scores_gemma":[0.00022042764,0.025472045,0.960054,0.00008829219,0.00069339806,0.00011035102,0.0012691983,0.0023580063,0.009347542,0.000031543335,0.00032189116,0.000033324377],"about_ca_topic_score_codex":0.005284236,"about_ca_topic_score_gemma":0.020788731,"teacher_disagreement_score":0.005284236,"about_ca_system_score_codex":0.0007074434,"about_ca_system_score_gemma":0.0006128334,"threshold_uncertainty_score":0.010506988},"labels":[],"label_agreement":null},{"id":"W4200520284","doi":"10.1016/j.fishres.2021.106191","title":"Reproductive biology of the holothurian Parastichopus regalis in the Mediterranean Sea and its implications for fisheries management","year":2021,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; Ministerio de Ciencia, Innovación y Universidades; University of Victoria","keywords":"Gonad; Biology; Reproductive biology; Development of the gonads; Fishery; Reproduction; Mediterranean sea; Mediterranean climate; Zoology; Ecology; Anatomy","score_opus":0.14253751957555988,"score_gpt":0.34783391806551145,"score_spread":0.20529639848995157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200520284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99866176,0.00026766202,0.00006432329,0.000016957367,0.0000027038045,0.0000078372495,0.000101559715,0.000006643349,0.0008705814],"genre_scores_gemma":[0.99894255,0.00013529048,0.00018980581,0.000025575568,0.0000066882535,0.000008750815,0.00013619616,0.000003627228,0.0005514619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994195,0.000008237412,0.0000043132704,0.000022538537,0.000011779243,0.000011174763],"domain_scores_gemma":[0.999851,0.0000133056865,0.00006956877,0.000007216529,0.000023572356,0.000035283487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001669053,0.00026657368,0.00014973828,0.00072121806,0.00029870993,0.00019888481,0.0002160217,0.00014393147,0.0008754289],"category_scores_gemma":[0.00026000442,0.00012266557,0.0001994471,0.00019328023,0.00032760616,0.00021344912,0.00022086082,0.000119097036,0.00018485048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036477725,0.00013002973,0.805512,0.00022900899,0.00009550768,0.001311364,0.002510256,0.00043668743,0.15492913,0.0001821629,0.0005582505,0.03374076],"study_design_scores_gemma":[0.0000018646516,0.000100185825,0.99886,0.000004042725,0.0000090714675,0.0002106965,0.00021487447,0.00007947945,0.00028736712,0.000017955357,0.00021018794,0.0000043104365],"about_ca_topic_score_codex":0.007603153,"about_ca_topic_score_gemma":0.018884331,"teacher_disagreement_score":0.007603153,"about_ca_system_score_codex":0.00030046247,"about_ca_system_score_gemma":0.0001963889,"threshold_uncertainty_score":0.0151177645},"labels":[],"label_agreement":null},{"id":"W4210633765","doi":"10.1016/j.fishres.2022.106251","title":"Improving effort estimates and informing temporal distribution of recreational salmon fishing in British Columbia, Canada using high-frequency optical imagery data","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Victoria","funders":"","keywords":"Fishing; Diel vertical migration; Shore; Recreational fishing; Fishery; Recreation; Environmental science; Catch and release; Estimation; Sampling (signal processing); Computer science; Aerial survey; Habitat; Fisheries science; Geography; Fisheries management; Ecology; Remote sensing; Detector; Telecommunications","score_opus":0.03476615758632116,"score_gpt":0.27265392930056276,"score_spread":0.2378877717142416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210633765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98521125,0.00080278295,0.0023586329,0.0004405065,0.000020323845,0.000043529264,0.005927683,0.00008843452,0.005106752],"genre_scores_gemma":[0.98518676,0.00073265756,0.0064783306,0.00010825319,0.000008776953,0.0000384114,0.0037846663,0.000024973497,0.003637124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958223,0.0000417379,0.000030603853,0.000091262256,0.00012808084,0.00012606736],"domain_scores_gemma":[0.99757546,0.00026630715,0.00025175037,0.00008430393,0.0016789463,0.00014331244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079224573,0.0002607427,0.00015417363,0.0021244355,0.0008480319,0.0011863135,0.0005770807,0.0002761629,0.0012046645],"category_scores_gemma":[0.0031390633,0.00026867053,0.00014252016,0.003895646,0.00026751927,0.00049248576,0.0004773999,0.0003194773,0.00028356147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060072936,0.000055733773,0.9029903,0.00010413244,0.000076486096,0.00007316306,0.0009433484,0.0031925638,0.0024731858,0.0001811126,0.006285389,0.08356447],"study_design_scores_gemma":[0.0000059128265,0.000005802467,0.9889416,0.00005937291,0.000034632503,0.000019029694,0.0013028487,0.0055799712,0.00035889042,0.00005554595,0.0036244504,0.000012056565],"about_ca_topic_score_codex":0.99078876,"about_ca_topic_score_gemma":0.99728703,"teacher_disagreement_score":0.009211242,"about_ca_system_score_codex":0.0057040304,"about_ca_system_score_gemma":0.010199504,"threshold_uncertainty_score":0.04138583},"labels":[],"label_agreement":null},{"id":"W4213185724","doi":"10.1016/j.fishres.2022.106260","title":"Applying mixed-effects growth models to back-calculated size-at-age data for Atlantic bluefin tuna (Thunnus thynnus)","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Thunnus; Tuna; Scombridae; Fishery; Independence (probability theory); Autocorrelation; Statistics; Biology; Mathematics; Fish ","score_opus":0.11975118286749183,"score_gpt":0.3225137346757686,"score_spread":0.2027625518082768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213185724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81898534,0.0005699867,0.17255197,0.0004808119,0.00032964742,0.00008561072,0.0042476845,0.0017210894,0.0010279177],"genre_scores_gemma":[0.8941521,0.0001968066,0.09704318,0.000094146846,0.00004114411,0.00017968113,0.0048282943,0.0005434419,0.0029211792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998197,0.0008901703,0.0000925173,0.0005724855,0.0001398169,0.000108023996],"domain_scores_gemma":[0.9897971,0.007335165,0.00073687494,0.0010118638,0.0008781099,0.00024088944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0092978375,0.0011144668,0.0006622451,0.0011616937,0.00059148594,0.0011885659,0.0020787427,0.0009793931,0.0018852521],"category_scores_gemma":[0.020806277,0.0010180934,0.0025061178,0.0010013459,0.0003751742,0.0009475531,0.0010846152,0.0014297168,0.0009378489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021445588,0.0004556953,0.32011917,0.00023990689,0.0031215395,0.00047443568,0.00060389424,0.5170101,0.0057026623,0.004516795,0.004689522,0.14092174],"study_design_scores_gemma":[0.00006392655,0.0001245856,0.041072838,0.000036444366,0.0003448087,0.0000789176,0.00011432224,0.9531554,0.0011558421,0.0024462985,0.0013447503,0.00006185358],"about_ca_topic_score_codex":0.07787235,"about_ca_topic_score_gemma":0.09918214,"teacher_disagreement_score":0.07787235,"about_ca_system_score_codex":0.0015989078,"about_ca_system_score_gemma":0.0015462281,"threshold_uncertainty_score":0.15483814},"labels":[],"label_agreement":null},{"id":"W4250884221","doi":"10.1016/j.fishres.2007.06.013","title":"Preface","year":2007,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Saint Mary's University","funders":"","keywords":"Sea turtle; Turtle (robot); Foraging; Geography; Population; Ecology; Resource (disambiguation); Nesting (process); Habitat; Fishery; Biology","score_opus":0.0828768376257518,"score_gpt":0.3584105850269342,"score_spread":0.27553374740118236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250884221","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015377114,0.005058325,0.0049778274,0.02782521,0.2266161,0.00080928137,0.013629115,0.0015237323,0.7180227],"genre_scores_gemma":[0.0032460585,0.0013130323,0.0012463402,0.003628304,0.013135571,0.00022503517,0.004747375,0.00041093843,0.9720473],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945647,0.000073864154,0.000032387063,0.00008927528,0.000291861,0.000056079978],"domain_scores_gemma":[0.99516255,0.00058078894,0.00013805515,0.0003907271,0.0030113915,0.00071647926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012562644,0.0007498139,0.00053823716,0.0024309417,0.0025701174,0.0022897306,0.0010837647,0.00092575036,0.55461246],"category_scores_gemma":[0.008602671,0.00022764291,0.00047397468,0.0013553255,0.00038831052,0.0017384158,0.0018265584,0.0020517411,0.35761383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020549012,0.000013700426,0.00007315732,0.000039959265,9.231517e-7,0.000026178874,0.000028518163,0.000026108166,0.00007641178,0.0017275306,0.97293705,0.025029868],"study_design_scores_gemma":[0.0000041463527,0.000008635891,0.000325478,0.000052845433,0.0000011423062,0.000022862212,0.00005328073,0.000022067272,0.00006865906,0.0013702763,0.99806744,0.0000030484198],"about_ca_topic_score_codex":0.0061444277,"about_ca_topic_score_gemma":0.009040681,"teacher_disagreement_score":0.55461246,"about_ca_system_score_codex":0.0016093442,"about_ca_system_score_gemma":0.0018826114,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4280613251","doi":"10.1016/j.fishres.2022.106342","title":"Short-term behavioural impacts of air-exposure in three species of recreationally angled freshwater fish","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Carleton University","funders":"Adelson Family Foundation; Ontario Ministry of Natural Resources and Forestry","keywords":"Esox; Pike; Micropterus; Bass (fish); Environmental science; Catch and release; Fishery; Fish ; Recreational fishing; Biology","score_opus":0.06092733468123036,"score_gpt":0.2924746399248093,"score_spread":0.23154730524357897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280613251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998884,0.0000053883596,0.0000074543823,0.000002867383,5.6728635e-7,0.0000022653767,0.000017684355,3.4969705e-7,0.00007491652],"genre_scores_gemma":[0.99941933,0.00001950568,0.00004387581,0.0000134314205,0.0000014585489,0.000012610795,0.00007644229,6.8545233e-7,0.0004126575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998944,0.000019899146,0.0000070433607,0.000025779322,0.000017091594,0.000035847923],"domain_scores_gemma":[0.9996443,0.00006977948,0.00008044502,0.00002079214,0.000055649878,0.00012902534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020612706,0.00023769692,0.00019576427,0.0003243375,0.0005260522,0.00029230493,0.00016723858,0.00036918503,0.0013716494],"category_scores_gemma":[0.0004959929,0.00016153841,0.00032926945,0.00023192778,0.00058712816,0.0003026974,0.00047478775,0.00039031223,0.00020142163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024387334,0.0010447939,0.9267081,0.000043138603,0.00009592584,0.00024557972,0.0018428619,0.00020280502,0.062713556,0.000034411594,0.000088315166,0.004541833],"study_design_scores_gemma":[0.000003291168,0.00044846343,0.99842536,8.8436076e-7,0.000008447176,0.000027553142,0.0005652565,0.000038352267,0.00043538734,0.000005293085,0.000038525883,0.000003123584],"about_ca_topic_score_codex":0.017790161,"about_ca_topic_score_gemma":0.054918565,"teacher_disagreement_score":0.017790161,"about_ca_system_score_codex":0.0004886651,"about_ca_system_score_gemma":0.00021605403,"threshold_uncertainty_score":0.03537321},"labels":[],"label_agreement":null},{"id":"W4281666324","doi":"10.1016/j.fishres.2022.106395","title":"Effects of life stage on the spatial ecology of Chinook salmon (Oncorhynchus tshawytscha) during pelagic freshwater foraging","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Hatch (Canada); Trent University; Ministry of Natural Resources and Forestry; University of Windsor","funders":"","keywords":"Chinook wind; Oncorhynchus; Foraging; Fishery; Pelagic zone; Occupancy; Range (aeronautics); Habitat; Environmental science; Salmonidae; Ecology; Geography; Biology; Fish ; Salmo","score_opus":0.020122285004706326,"score_gpt":0.25381030137213123,"score_spread":0.2336880163674249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281666324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998293,0.000017492433,0.0000060487755,0.0000056753556,9.88289e-7,4.158688e-7,0.00003598602,5.543704e-7,0.0001033995],"genre_scores_gemma":[0.9996296,0.000014378987,0.000015070227,0.000009882731,0.0000010715298,0.0000016323879,0.00008261328,0.0000015397585,0.00024420148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999093,0.000019133986,0.0000054234315,0.00001961961,0.0000083422165,0.00003825712],"domain_scores_gemma":[0.9990004,0.00023491433,0.00018638735,0.000042460622,0.000074805095,0.0004611121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019734433,0.00016548559,0.00017093585,0.0002971083,0.0003334259,0.00041507356,0.00018796492,0.00021105765,0.0023621921],"category_scores_gemma":[0.00080336217,0.00017764806,0.00021324368,0.0002034196,0.00041050208,0.00024751827,0.00036254633,0.0002448815,0.0001875149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049104467,0.00041899877,0.94369376,0.000026800528,0.00014960085,0.0003015462,0.00064917776,0.00017685888,0.04553253,0.00010229795,0.00019957998,0.0038383377],"study_design_scores_gemma":[0.0000037945981,0.00012591715,0.9994048,0.000001216936,0.000008306102,0.00002391276,0.00014091485,0.00006521832,0.0001869539,0.000010263448,0.000026614125,0.0000021438436],"about_ca_topic_score_codex":0.010066595,"about_ca_topic_score_gemma":0.053812608,"teacher_disagreement_score":0.010066595,"about_ca_system_score_codex":0.00045709216,"about_ca_system_score_gemma":0.00031583983,"threshold_uncertainty_score":0.020016015},"labels":[],"label_agreement":null},{"id":"W4283828544","doi":"10.1016/j.fishres.2022.106414","title":"Does the relevance of catch for angler satisfaction vary with social-ecological context? A study involving angler cultures from West and East Germany","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"","keywords":"Context (archaeology); Geography; Fishery; Catch and release; Recreation; Fishing; Ecology; Recreational fishing; Biology","score_opus":0.04262516841349694,"score_gpt":0.2953908917952749,"score_spread":0.25276572338177794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283828544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99962485,0.000024988065,0.000011496335,0.000013052136,0.0000018613409,0.0000010603882,0.000011698566,1.3004897e-7,0.00031073263],"genre_scores_gemma":[0.99984264,0.00002215652,0.000010163147,0.000009381384,9.665819e-7,0.0000011517942,0.000014438507,4.5599785e-7,0.0000986834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993457,0.00023003398,0.000036581794,0.00009862946,0.000097037955,0.00019191213],"domain_scores_gemma":[0.9982528,0.0006517096,0.00048492276,0.00012629425,0.00017084989,0.00031339136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081524864,0.00022050817,0.00030169592,0.00055278576,0.00080622494,0.0014554973,0.00026058414,0.00030621036,0.002354543],"category_scores_gemma":[0.0024648844,0.00017783669,0.0003471055,0.0006596039,0.0009987297,0.0005933625,0.0008415643,0.0005367312,0.00021041086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013758677,0.00010302582,0.98035496,0.000014646488,0.000074398886,0.0001710211,0.015379508,0.000031759326,0.0006159129,0.00014797313,0.00007094007,0.0028982924],"study_design_scores_gemma":[0.0000024627209,0.0000799283,0.97902954,0.000006547944,0.000017064945,0.00005820428,0.020523157,0.00003701418,0.00007055182,0.000020326866,0.00015073578,0.000004433447],"about_ca_topic_score_codex":0.024221214,"about_ca_topic_score_gemma":0.049775284,"teacher_disagreement_score":0.024221214,"about_ca_system_score_codex":0.0006859178,"about_ca_system_score_gemma":0.0004644191,"threshold_uncertainty_score":0.048160434},"labels":[],"label_agreement":null},{"id":"W4285384277","doi":"10.1016/j.fishres.2022.106422","title":"A nonparametric-monotone regression model and robust estimation for paired-tow bottom-trawl survey comparative fishing data","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"","keywords":"Fishing; Nonparametric statistics; Monotone polygon; Statistics; Regression; Nonparametric regression; Mathematics; Fishery; Econometrics; Biology","score_opus":0.33316283751537584,"score_gpt":0.39651166426955914,"score_spread":0.0633488267541833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285384277","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003765095,0.00008628849,0.99525106,0.00016128545,0.000023151852,0.00007251709,0.00021432669,0.00019745059,0.00022885039],"genre_scores_gemma":[0.17108577,0.00059744704,0.81302184,0.00033872173,0.00033842644,0.0015742165,0.0033397034,0.0004981758,0.009205699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9879871,0.007870762,0.00046273458,0.0020726975,0.0011446228,0.00046209712],"domain_scores_gemma":[0.9598669,0.029754326,0.002240713,0.0043276385,0.003364382,0.00044618262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032897238,0.00142778,0.0030542254,0.0018940477,0.00089636137,0.0016034951,0.0071654916,0.0027476156,0.0046648527],"category_scores_gemma":[0.06578106,0.0022616584,0.003387413,0.0030881723,0.0021300572,0.003783239,0.0032366095,0.0047808546,0.0018154822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058747997,0.00035620297,0.008386256,0.00042195836,0.00063318847,0.00049901404,0.00029914512,0.54990137,0.0044436445,0.21083103,0.008550548,0.2150902],"study_design_scores_gemma":[0.000046426157,0.000093999035,0.0012269061,0.000019719357,0.000049240254,0.000107438755,0.000019405086,0.9665696,0.00034459477,0.029732153,0.0017491974,0.000041304647],"about_ca_topic_score_codex":0.009032909,"about_ca_topic_score_gemma":0.00897899,"teacher_disagreement_score":0.032897238,"about_ca_system_score_codex":0.0012300418,"about_ca_system_score_gemma":0.0027950278,"threshold_uncertainty_score":0.17397928},"labels":[],"label_agreement":null},{"id":"W4293171289","doi":"10.1016/j.fishres.2022.106438","title":"Species differences, but not habitat, influence catch rate hyperstability across a recreational fishery landscape","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"U.S. Fish and Wildlife Service; Wisconsin Department of Natural Resources; University of Notre Dame; National Science Foundation","keywords":"Catch per unit effort; Overexploitation; Fishery; Stock assessment; Electrofishing; Fishing; Stock (firearms); Fisheries management; Population; Recreation; Habitat; Geography; Ecology; Abundance (ecology); Biology; Demography","score_opus":0.0644149543498291,"score_gpt":0.2999549210994084,"score_spread":0.2355399667495793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293171289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997243,0.000010920667,0.000029860526,0.000009780563,7.5471985e-7,6.473364e-7,0.000019280968,0.0000014603429,0.00020313408],"genre_scores_gemma":[0.9997849,0.000006502203,0.000032440243,0.000009320302,8.6509874e-7,0.0000013307983,0.000030250672,0.0000029034038,0.00013156519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977726,0.000071581584,0.000012686614,0.00005776347,0.000026104806,0.000054626333],"domain_scores_gemma":[0.99891937,0.00031113555,0.00029370454,0.00008409737,0.000073270916,0.00031857193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002618316,0.00011929628,0.00026091802,0.00048875407,0.0003784084,0.00056714297,0.000250665,0.0002895181,0.0033930598],"category_scores_gemma":[0.0014061609,0.0001653099,0.00023381326,0.0003676013,0.00053283357,0.00047551902,0.0005702997,0.0003158001,0.00019455233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003183806,0.00010878942,0.9873947,0.000010100712,0.0001816488,0.000094506715,0.00028690635,0.00016258468,0.008473402,0.00006308763,0.00014422623,0.0027616934],"study_design_scores_gemma":[0.0000012015528,0.000024148729,0.99958354,8.4509406e-7,0.000011718874,0.000024064722,0.00011778554,0.000136889,0.000053462674,0.000022069367,0.00002296539,0.000001371795],"about_ca_topic_score_codex":0.00740178,"about_ca_topic_score_gemma":0.042492315,"teacher_disagreement_score":0.00740178,"about_ca_system_score_codex":0.0002512965,"about_ca_system_score_gemma":0.00018084436,"threshold_uncertainty_score":0.0147174},"labels":[],"label_agreement":null},{"id":"W4294042797","doi":"10.1016/j.fishres.2022.106481","title":"Post-release locomotor activity of ice-angled Northern Pike","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Pike; Esox; Fishing; Catch and release; Fish ; Fishery; Environmental science; Animal science; Biology; Recreational fishing","score_opus":0.03200526146339555,"score_gpt":0.28401272568360286,"score_spread":0.2520074642202073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294042797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99974734,0.000013103702,0.000009044474,0.0000034963623,0.0000011502256,9.860814e-7,0.000055708024,9.385496e-7,0.00016833631],"genre_scores_gemma":[0.99870825,0.000024155417,0.00003955597,0.000011852494,0.0000017610189,0.000003899851,0.00025390857,0.0000012688546,0.0009553065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999491,0.0000086845375,0.000004503288,0.0000133598,0.000007714815,0.000016559445],"domain_scores_gemma":[0.999782,0.000026268555,0.000052198386,0.000014695706,0.000039619044,0.000085301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012131899,0.0001236971,0.00015298539,0.00021724966,0.00018901503,0.00025851512,0.0001041148,0.00017613225,0.0014359368],"category_scores_gemma":[0.0005033039,0.000096487616,0.0001226885,0.00010793403,0.00013343731,0.00017393909,0.00022950431,0.00021692533,0.00033199822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011602096,0.00017165455,0.9774187,0.000020643236,0.00007113835,0.0001656166,0.00037448958,0.00008209844,0.015574259,0.000017066464,0.00019594743,0.0047481596],"study_design_scores_gemma":[0.0000015807778,0.00008661834,0.999634,7.1662237e-7,0.0000028463394,0.000028411312,0.0000652845,0.00002723218,0.00010851491,9.994021e-7,0.00004308504,5.8063796e-7],"about_ca_topic_score_codex":0.012097877,"about_ca_topic_score_gemma":0.039977934,"teacher_disagreement_score":0.012097877,"about_ca_system_score_codex":0.00022275042,"about_ca_system_score_gemma":0.0001472883,"threshold_uncertainty_score":0.024054885},"labels":[],"label_agreement":null},{"id":"W4295977983","doi":"10.1016/j.fishres.2022.106488","title":"Reliable growth estimation from mark–recapture tagging data in elasmobranchs","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ocean Tracking Network; Dalhousie University","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute; Centre for Environment, Fisheries and Aquaculture Science","keywords":"Mark and recapture; Statistics; Estimation; Bayesian probability; Sample size determination; Biology; Population; Computer science; Econometrics; Mathematics; Engineering","score_opus":0.04742619779041632,"score_gpt":0.2987311662701364,"score_spread":0.25130496847972006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295977983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8903419,0.00047585502,0.108020216,0.000056898294,0.000026627922,0.000027673428,0.0002175847,0.00032013367,0.00051322085],"genre_scores_gemma":[0.9573417,0.00017491983,0.04144615,0.000022715183,0.000011238228,0.000023547926,0.0006861158,0.00003744815,0.00025620515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985683,0.0007191466,0.00008465964,0.00030247317,0.00024034172,0.000085094645],"domain_scores_gemma":[0.9911731,0.0059809587,0.0010996344,0.00062201737,0.0010168444,0.00010745329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008704992,0.0005764812,0.00051931944,0.0014393535,0.000273113,0.0007221341,0.00078126445,0.0007844802,0.00021056739],"category_scores_gemma":[0.018407522,0.00040940917,0.00052491995,0.00056395587,0.00057064387,0.00085834344,0.00066730555,0.00039745265,0.00018128305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008915225,0.00011912387,0.31413105,0.0003001201,0.0005992413,0.00028362195,0.00075779116,0.50420415,0.026424445,0.0017187652,0.00049998745,0.15007028],"study_design_scores_gemma":[0.000045509852,0.00022756816,0.23943953,0.00006609531,0.00015078318,0.00016227216,0.00019344111,0.74752384,0.009733921,0.0016686302,0.0006518003,0.0001365028],"about_ca_topic_score_codex":0.014500227,"about_ca_topic_score_gemma":0.016461859,"teacher_disagreement_score":0.014500227,"about_ca_system_score_codex":0.00065180473,"about_ca_system_score_gemma":0.00057923724,"threshold_uncertainty_score":0.04603696},"labels":[],"label_agreement":null},{"id":"W4308491662","doi":"10.1016/j.fishres.2022.106535","title":"A review of light fishing on Lake Albert, Uganda: Implications for a multi-species artisanal fishery","year":2022,"lang":"en","type":"review","venue":"Fisheries Research","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Fishery; Fishing; Geography; Oceanography; Artisanal fishing; Bycatch; Environmental science; Geology; Biology","score_opus":0.35107331454374163,"score_gpt":0.40531838929665914,"score_spread":0.05424507475291751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308491662","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000106270825,0.9995426,0.000013707718,0.000108161876,0.00006475898,0.0000033871884,0.000034090976,0.0000012662045,0.0001259106],"genre_scores_gemma":[0.00044491419,0.99930537,0.00005008474,0.00009199878,0.000028154887,0.0000032628034,0.000020033809,4.577692e-7,0.000055765715],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994837,0.00010262169,0.00016437481,0.00007469911,0.00013020713,0.00004430649],"domain_scores_gemma":[0.9986941,0.00073524966,0.00030155957,0.000015763491,0.00018387582,0.0000694794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013147629,0.0009786381,0.0020736144,0.0064569153,0.0004361059,0.0015696775,0.0009977026,0.0010721873,0.003905593],"category_scores_gemma":[0.0031059403,0.00047879037,0.0010658249,0.009135275,0.0005951934,0.0015557803,0.001310564,0.0010889532,0.00049712247],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001190232,0.000045012996,0.0007988231,0.24729837,0.000569514,0.00021751391,0.00038648013,0.00023890598,0.00045886947,0.0014682618,0.02926774,0.7191315],"study_design_scores_gemma":[0.000040201598,0.00019518813,0.010510869,0.22446936,0.0024926818,0.0011901421,0.00087590114,0.00008832059,0.00018961885,0.0010973209,0.75878197,0.00006843475],"about_ca_topic_score_codex":0.009317743,"about_ca_topic_score_gemma":0.029810473,"teacher_disagreement_score":0.009317743,"about_ca_system_score_codex":0.0012391927,"about_ca_system_score_gemma":0.0045199017,"threshold_uncertainty_score":0.018527031},"labels":[],"label_agreement":null},{"id":"W4310015627","doi":"10.1016/j.fishres.2022.106573","title":"Reexamining one-trial learning in common carp (Cyprinus carpio) through private and social cues: No evidence for hook avoidance lasting more than seven months","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Hook; Cyprinus; Psychology; Common carp; Biology; Social psychology; Fish ; Fishery; Medicine","score_opus":0.1446573017371349,"score_gpt":0.3651909110019958,"score_spread":0.2205336092648609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310015627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996915,0.000030019726,0.00005941225,0.000014008039,0.000005237453,0.0000048744414,0.000013055509,0.000007496848,0.00017446818],"genre_scores_gemma":[0.99724174,0.000039562765,0.00021622724,0.000053489068,0.000007132917,0.000042083226,0.00011128906,0.000021029327,0.002267445],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99961877,0.000034157096,0.000025910373,0.00013127389,0.0000963285,0.00009363791],"domain_scores_gemma":[0.9974794,0.0005640857,0.00052998384,0.0005030759,0.00020403528,0.0007194957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052908016,0.00041101463,0.00063958263,0.00027134418,0.00040896685,0.0007508343,0.0008294505,0.0009307022,0.0031383724],"category_scores_gemma":[0.0031975338,0.0003743032,0.00029922323,0.00011749022,0.00084102957,0.0008078792,0.00084743125,0.0015932469,0.00051253045],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015081908,0.00583046,0.0969278,0.0004450151,0.00020244526,0.00037184,0.0015334949,0.0005945047,0.82353693,0.0002071493,0.0005006138,0.05476798],"study_design_scores_gemma":[0.0002788546,0.017097458,0.86694056,0.00009779097,0.0001911684,0.00040926048,0.0010482654,0.0042067617,0.10776122,0.00064424216,0.001214916,0.000109414],"about_ca_topic_score_codex":0.0025206963,"about_ca_topic_score_gemma":0.0082916645,"teacher_disagreement_score":0.0031383724,"about_ca_system_score_codex":0.00047773545,"about_ca_system_score_gemma":0.00053792895,"threshold_uncertainty_score":0.010498881},"labels":[],"label_agreement":null},{"id":"W4310131932","doi":"10.1016/j.fishres.2022.106559","title":"Integrating biological research, fisheries science and management of Pacific halibut (Hippoglossus stenolepis) across the North Pacific Ocean","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Metamorphosis; Otolith; Halibut; Fishery; Juvenile; Fisheries science; Biology; Larva; Geography; Fisheries management; Ecology; Fishing; Fish ","score_opus":0.09597626172185678,"score_gpt":0.34287770124147127,"score_spread":0.2469014395196145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310131932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940479,0.0009372166,0.00015093126,0.0014752377,0.000013464088,0.000014013232,0.000083122744,0.000004839843,0.003273292],"genre_scores_gemma":[0.9966853,0.0010777907,0.0006633696,0.00039011546,0.000010905385,0.000012695331,0.00008487111,0.0000016639061,0.0010732341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962246,0.00011261619,0.000029245606,0.000041076168,0.00012378604,0.000070781425],"domain_scores_gemma":[0.9990107,0.000099812,0.00027954954,0.000025322808,0.00034682392,0.00023786728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083460065,0.00012101743,0.000088440705,0.00095541147,0.000739164,0.0009193263,0.00021696958,0.00021823603,0.0006258711],"category_scores_gemma":[0.0014936819,0.000084687555,0.00007518272,0.0008024693,0.000681919,0.0005220954,0.0011977672,0.00020029514,0.000060382245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009151224,0.00010628775,0.90234685,0.00014253751,0.00012420966,0.00023983078,0.0019057061,0.0009165684,0.005491947,0.0004609863,0.0010002457,0.08717326],"study_design_scores_gemma":[0.0000017416676,0.000026103933,0.9943402,0.000046624846,0.000028052586,0.000041507617,0.0031960206,0.00028323245,0.0002508552,0.00012938149,0.0016532869,0.000002915159],"about_ca_topic_score_codex":0.242025,"about_ca_topic_score_gemma":0.5768945,"teacher_disagreement_score":0.242025,"about_ca_system_score_codex":0.0020863316,"about_ca_system_score_gemma":0.005131413,"threshold_uncertainty_score":0.48123252},"labels":[],"label_agreement":null},{"id":"W4311090793","doi":"10.1016/j.fishres.2022.106580","title":"COVID-19 reduced recreational fishing effort during the black bass spawning season, resulting in increases in black bass reproductive success and annual recruitment","year":2022,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Carleton University; Queen's University","funders":"","keywords":"Micropterus; Fishery; Bass (fish); Fishing; Reproductive success; Biology; Seasonal breeder; Ecology; Population; Demography","score_opus":0.07197616410553792,"score_gpt":0.34088324275210313,"score_spread":0.2689070786465652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311090793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97528535,0.00044442978,0.0013299336,0.00055384525,0.00045834974,0.00014717254,0.003679184,0.00030641668,0.017795326],"genre_scores_gemma":[0.91679126,0.00047353824,0.003967007,0.0010193278,0.00008036117,0.00031544807,0.0077142646,0.00022182442,0.06941702],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994074,0.00007516753,0.000057767935,0.00012963545,0.00016108254,0.00016889439],"domain_scores_gemma":[0.99898356,0.00006698061,0.00015987566,0.00008961954,0.000237425,0.0004625944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005174534,0.00051305245,0.0007183525,0.00059014035,0.0007955695,0.0012102113,0.00081511156,0.0007221995,0.027315365],"category_scores_gemma":[0.0011379193,0.0004049798,0.00047072835,0.00037161636,0.0003818093,0.00036154388,0.000970773,0.0010988556,0.002284185],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.026772296,0.018071964,0.13680206,0.001256241,0.00068586273,0.00076644024,0.000733086,0.002183206,0.5294388,0.0038194167,0.027739124,0.25173154],"study_design_scores_gemma":[0.0020796114,0.024353467,0.7427856,0.0002913312,0.0007963459,0.0016648748,0.0011931111,0.006840087,0.14861748,0.000897006,0.07032868,0.0001524338],"about_ca_topic_score_codex":0.019709254,"about_ca_topic_score_gemma":0.06530285,"teacher_disagreement_score":0.027315365,"about_ca_system_score_codex":0.0010817543,"about_ca_system_score_gemma":0.002242562,"threshold_uncertainty_score":0.09137905},"labels":[],"label_agreement":null},{"id":"W4313451676","doi":"10.1016/j.fishres.2022.106586","title":"Evaluating 87Sr/86Sr and Sr/Ca ratios in otoliths of different European freshwater fish species as fishery management tool in an Alpine foreland with limited geological variability","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Hypo Tirol Bank; Bundesministerium für Digitalisierung und Wirtschaftsstandort; Universität Innsbruck; Österreichische Forschungsförderungsgesellschaft; Austrian Science Fund","keywords":"Otolith; Rutilus; Isotopes of strontium; Strontium; Fish migration; Fishery; Environmental science; Biology; Habitat; Ecology; Chemistry; Fish ","score_opus":0.07325269072428911,"score_gpt":0.33392560205452165,"score_spread":0.2606729113302325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313451676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998221,0.000025088042,0.00005563769,0.0000010475075,3.4284318e-7,8.0593634e-7,0.000026428117,0.0000010587622,0.00006743201],"genre_scores_gemma":[0.99943215,0.000028891087,0.00021850388,0.000003866543,6.824671e-7,0.00000175216,0.00008497266,0.0000018537621,0.00022735567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998585,0.000021524856,0.00001386104,0.00006142689,0.000024418743,0.000020224783],"domain_scores_gemma":[0.9997681,0.000047352507,0.000068122215,0.000010791018,0.00006266575,0.000042928514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037616421,0.0002908971,0.00019113492,0.0008801118,0.0003485541,0.00046469056,0.00015887781,0.00034291402,0.0003425316],"category_scores_gemma":[0.00042781146,0.00014947851,0.00020827077,0.0004621399,0.00033670876,0.00038572095,0.000235206,0.00010870539,0.00010076597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005650599,0.00006613081,0.9312112,0.000019251218,0.00011069642,0.00016107569,0.00026465923,0.0006140248,0.060004458,0.000024487612,0.000024753519,0.0069342707],"study_design_scores_gemma":[0.0000027398135,0.00008936553,0.9968982,0.0000013696358,0.000021965456,0.000051909763,0.00016427606,0.00064591225,0.0020648465,0.00000837436,0.000048145313,0.0000029730243],"about_ca_topic_score_codex":0.012950538,"about_ca_topic_score_gemma":0.032780126,"teacher_disagreement_score":0.012950538,"about_ca_system_score_codex":0.00031150135,"about_ca_system_score_gemma":0.00024802238,"threshold_uncertainty_score":0.025750339},"labels":[],"label_agreement":null},{"id":"W4320527576","doi":"10.1016/j.fishres.2023.106618","title":"Using a horizontal-separator panel in an Australian fish trawl to quantify species-specific changes in vertical orientations during capture","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Fisheries Management Authority; NSW Department of Primary Industries; Fisheries Research and Development Corporation; Australian Government; Canadian Thoracic Society","keywords":"Fishery; Whiting; Bycatch; Environmental science; Fish ; Biology","score_opus":0.2624004501991161,"score_gpt":0.40036398517667726,"score_spread":0.13796353497756114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320527576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99800354,0.000035154935,0.0011855906,0.000012426353,0.0000059466133,0.000032677657,0.00012075519,0.000011611058,0.0005923139],"genre_scores_gemma":[0.9909672,0.00012656518,0.006593223,0.00006628528,0.000005693453,0.000066725705,0.00022622323,0.000011217583,0.0019368675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986637,0.000015578593,0.000003866998,0.00004526158,0.000037098675,0.0000318993],"domain_scores_gemma":[0.99973136,0.00003359754,0.00006992333,0.000013477167,0.00008039457,0.0000711925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019631437,0.0003535633,0.0002919621,0.00063477276,0.00061083067,0.00034481622,0.000318949,0.00048352635,0.00087298494],"category_scores_gemma":[0.00035540594,0.00039836246,0.00026504602,0.00069886877,0.00032503338,0.0002788701,0.00047391187,0.0004696256,0.00031133508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015942449,0.00033251892,0.59583807,0.00013918258,0.00012768203,0.0002940251,0.0019188669,0.0011322346,0.35994083,0.000047440142,0.00044990022,0.03818504],"study_design_scores_gemma":[0.000011031785,0.0003986673,0.9910597,0.000009481331,0.000050426028,0.00012119877,0.00031240305,0.0022046734,0.0055803354,0.000013244001,0.00022401194,0.000014801166],"about_ca_topic_score_codex":0.048922744,"about_ca_topic_score_gemma":0.16450094,"teacher_disagreement_score":0.048922744,"about_ca_system_score_codex":0.0004387709,"about_ca_system_score_gemma":0.00068240205,"threshold_uncertainty_score":0.09727597},"labels":[],"label_agreement":null},{"id":"W4323033662","doi":"10.1016/j.fishres.2023.106662","title":"Preparing recreational fisheries for the uncertain future: An update of progress towards answering the 100 most pressing research questions","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Fisheries and Oceans Canada","funders":"Ministerio de Ciencia e Innovación; Natural Environment Research Council; Sight Research UK; UK Research and Innovation","keywords":"Recreation; Sustainability; Fishing; Business; Corporate governance; Environmental planning; Environmental resource management; Context (archaeology); Fisheries management; Natural resource economics; Resource (disambiguation); Fisheries law; Fishery; Geography; Political science; Economics; Ecology; Computer science","score_opus":0.12745784573641478,"score_gpt":0.40747739720870374,"score_spread":0.28001955147228896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323033662","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019716362,0.9147581,0.002081606,0.05035728,0.019330168,0.00006841596,0.0012257163,0.00021795486,0.009989247],"genre_scores_gemma":[0.0074833254,0.9567975,0.008049687,0.014582893,0.008550036,0.000089021094,0.0014079113,0.00007248532,0.0029672992],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967501,0.00073414226,0.00094209204,0.00021695431,0.0011815309,0.00017503918],"domain_scores_gemma":[0.94601434,0.035419393,0.0038094695,0.0012720977,0.011326563,0.0021581291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012181883,0.0011726063,0.0016884779,0.007070501,0.00094722415,0.0056035924,0.0018190839,0.0030126355,0.007973468],"category_scores_gemma":[0.035284985,0.0005605566,0.00097444345,0.0067952015,0.0016224934,0.008638859,0.002259158,0.0034431051,0.003194605],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012349134,0.00008350544,0.0027267209,0.010179732,0.0001384271,0.00014189116,0.0004075177,0.00029545565,0.00040772374,0.0017077196,0.26846567,0.7153221],"study_design_scores_gemma":[0.00002544315,0.00010855769,0.006060174,0.017817244,0.00028543378,0.00040441038,0.0012602044,0.00018817988,0.0003051433,0.0035301736,0.96992624,0.00008871],"about_ca_topic_score_codex":0.008188708,"about_ca_topic_score_gemma":0.034257583,"teacher_disagreement_score":0.012181883,"about_ca_system_score_codex":0.002008377,"about_ca_system_score_gemma":0.007508587,"threshold_uncertainty_score":0.06442469},"labels":[],"label_agreement":null},{"id":"W4323051663","doi":"10.1016/j.fishres.2023.106677","title":"Fish consumption patterns and value chain analysis in north-western Cambodia","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"European Regional Development Fund; Erasmus+; Xunta de Galicia; Universidade de Vigo; European Commission","keywords":"Business; Supply chain; Value chain; Diversification (marketing strategy); Product (mathematics); Fish processing; Fishery; Fish products; Fishing; Consumption (sociology); Fish ; Marketing","score_opus":0.11789724344748438,"score_gpt":0.38509928499008744,"score_spread":0.2672020415426031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323051663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994306,0.00008056338,0.000016021093,0.000024692241,4.308342e-7,0.000002973836,0.00012761411,4.56952e-7,0.00031659854],"genre_scores_gemma":[0.9993549,0.00009189767,0.00005851698,0.000008322346,6.156716e-7,0.000006824831,0.00015405352,6.2302695e-7,0.00032428195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999124,0.000027066215,0.000009246877,0.000015559712,0.0000071921613,0.000028578816],"domain_scores_gemma":[0.9996563,0.000095347925,0.00012985818,0.000019783745,0.000050876817,0.000047768008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024750456,0.0001828008,0.0001319189,0.0011617988,0.0004554446,0.00043998487,0.00026957502,0.00024661183,0.002433347],"category_scores_gemma":[0.00089721626,0.00020309829,0.00020447513,0.002411847,0.00039506398,0.0005194457,0.0005236564,0.00020187788,0.00015696096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007226738,0.00001824555,0.9891544,0.000034092966,0.00003752165,0.00018297417,0.003987598,0.00024306391,0.00047265753,0.00016315973,0.00015914394,0.00547489],"study_design_scores_gemma":[0.0000011470956,0.000011983543,0.9962142,0.000014947778,0.0000066652237,0.000033317858,0.0031517353,0.0003301489,0.000037853297,0.000019331375,0.00017700289,0.0000016830867],"about_ca_topic_score_codex":0.20439719,"about_ca_topic_score_gemma":0.31585437,"teacher_disagreement_score":0.20439719,"about_ca_system_score_codex":0.0014882733,"about_ca_system_score_gemma":0.00049178,"threshold_uncertainty_score":0.40641493},"labels":[],"label_agreement":null},{"id":"W4361026709","doi":"10.1016/j.fishres.2023.106695","title":"No effects of ground-gear diameter on the performance of a south-eastern Australian fish trawl","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Fisheries Management Authority; NSW Department of Primary Industries; Fisheries Research and Development Corporation; Australian Government; Canadian Thoracic Society","keywords":"Otter; Fishery; Discards; Flathead; Fishing; Bycatch; Fish ; Ground effect (cars); Environmental science; Biology; Physics","score_opus":0.057976300201950194,"score_gpt":0.29625090980556323,"score_spread":0.23827460960361305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361026709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988674,0.00004833344,0.0000267027,0.000034178785,0.000010972288,0.000003911178,0.00006105254,0.0000027012786,0.0009448638],"genre_scores_gemma":[0.9971908,0.000040584768,0.00008278314,0.000059782695,0.0000066895964,0.00000779533,0.0001406708,0.000008507175,0.0024624842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999532,0.00013602605,0.000030069916,0.00014424491,0.00006998649,0.00008784328],"domain_scores_gemma":[0.995618,0.0016679472,0.00048828375,0.00025729055,0.00042108432,0.0015474481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089368527,0.00032283698,0.0003365733,0.00023953196,0.0006655114,0.00063610636,0.0004126423,0.00052222435,0.0049384045],"category_scores_gemma":[0.0028220813,0.0003278949,0.00038452278,0.00021546117,0.0005826637,0.00051432895,0.00047830274,0.0006565199,0.00065734034],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.023213688,0.0019423291,0.76070875,0.0001792535,0.00044037896,0.001056837,0.0014024415,0.0009167549,0.18871273,0.000118984564,0.0010517555,0.020256093],"study_design_scores_gemma":[0.000014099632,0.0019731296,0.99588037,0.0000048220463,0.000037385384,0.00005595296,0.00024277823,0.00018607319,0.0013761185,0.000009547097,0.00021186282,0.000007844261],"about_ca_topic_score_codex":0.012287091,"about_ca_topic_score_gemma":0.049368337,"teacher_disagreement_score":0.012287091,"about_ca_system_score_codex":0.00069579517,"about_ca_system_score_gemma":0.0006783007,"threshold_uncertainty_score":0.02443111},"labels":[],"label_agreement":null},{"id":"W4361029978","doi":"10.1016/j.fishres.2023.106687","title":"Co-designing management recommendations with stakeholders: A case study about northern pike (Esox lucius) in the southern Baltic Sea","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"European Maritime and Fisheries Fund; European Commission","keywords":"Esox; Environmental resource management; Stakeholder; Business; Fisheries management; Stock assessment; Pike; Population; Natural resource management; Participatory management; Sustainable management; Fish stock; Sustainability; Geography; Environmental planning; Fishery; Natural resource; Ecology; Political science; Public relations; Economics; Sociology; Management; Fishing","score_opus":0.260546411318226,"score_gpt":0.38972877598437666,"score_spread":0.12918236466615068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361029978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98943734,0.000054416683,0.0033572388,0.0009776129,0.00001574873,0.000104439234,0.000019671066,0.000022815357,0.0060106358],"genre_scores_gemma":[0.98985845,0.00007172236,0.00680697,0.00018297366,0.0000066371163,0.000048908252,0.000038660957,0.000012472896,0.0029731283],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9941049,0.004265678,0.00016735785,0.00040453218,0.00042811094,0.0006294495],"domain_scores_gemma":[0.98866934,0.007441074,0.0008815829,0.00063037453,0.00082110957,0.0015565412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006235273,0.0005452844,0.00029665206,0.000801441,0.008370506,0.0032407485,0.0016840782,0.0044534784,0.0026807308],"category_scores_gemma":[0.01063297,0.0004163093,0.00044191445,0.0010435788,0.0023582915,0.0024486037,0.003158255,0.0014380408,0.00039571812],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004123546,0.0031581353,0.14939407,0.00062556466,0.00020978143,0.03913128,0.6788715,0.005378121,0.01489637,0.0049849846,0.0036909261,0.09924696],"study_design_scores_gemma":[0.000049211107,0.0007580728,0.03476928,0.00022658838,0.000097350036,0.0026144586,0.90876716,0.00860188,0.0032410289,0.0016990515,0.03910504,0.000070865884],"about_ca_topic_score_codex":0.020274704,"about_ca_topic_score_gemma":0.07548901,"teacher_disagreement_score":0.020274704,"about_ca_system_score_codex":0.0026680708,"about_ca_system_score_gemma":0.0045361035,"threshold_uncertainty_score":0.040313363},"labels":[],"label_agreement":null},{"id":"W4375854907","doi":"10.1016/j.fishres.2023.106738","title":"Development of a biodegradable soft bait fishing lure","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; University of Prince Edward Island","funders":"University of Prince Edward Island; Mitacs","keywords":"Fishing; Environmental science; Environmentally friendly; Litter; Fishery; Waste management; Ecology; Engineering; Biology","score_opus":0.06916840786733676,"score_gpt":0.2949642875158558,"score_spread":0.22579587964851905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375854907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7892917,0.0024180333,0.19640557,0.0006886572,0.0005086848,0.00090912817,0.0006123175,0.0014434662,0.0077225165],"genre_scores_gemma":[0.70606446,0.0022462078,0.264909,0.00041484644,0.00008816812,0.0004089445,0.0010066095,0.00013891708,0.024722809],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996829,0.000020651447,0.000024446139,0.00006313764,0.00016439345,0.000044573026],"domain_scores_gemma":[0.9997341,0.000018370523,0.00005957626,0.000013909698,0.0001035186,0.00007046091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043852898,0.0005807301,0.00038715915,0.00054122333,0.00025560963,0.0005231899,0.0006811672,0.0006623015,0.0014666778],"category_scores_gemma":[0.00031491945,0.00025251997,0.0004916213,0.00022346685,0.00020278402,0.0007132068,0.0006257029,0.000553684,0.0011109927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029242892,0.00007447457,0.0005148929,0.00007897659,0.000007125696,0.000060527647,0.000014933558,0.00023200405,0.98451877,0.00016899416,0.000105569845,0.014194506],"study_design_scores_gemma":[0.000019014871,0.0019589218,0.0033249578,0.000022271252,0.0000445897,0.00038506326,0.000056433575,0.004865236,0.98052704,0.000047777856,0.008719179,0.000029490944],"about_ca_topic_score_codex":0.0011045261,"about_ca_topic_score_gemma":0.0024524098,"teacher_disagreement_score":0.0014666778,"about_ca_system_score_codex":0.00033594534,"about_ca_system_score_gemma":0.00079184916,"threshold_uncertainty_score":0.0049065948},"labels":[],"label_agreement":null},{"id":"W4382318354","doi":"10.1016/j.fishres.2023.106785","title":"The design of a camera-based fisheries-independent survey for untrawlable habitat in the Gulf of Alaska","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Groundfish; Habitat; Stock assessment; Sebastes; Fishery; Marine protected area; Survey methodology; Geography; Oceanography; Rockfish; Geological survey; Sampling (signal processing); Environmental science; Fisheries management; Fishing; Ecology; Fish ; Geology","score_opus":0.12364356815105836,"score_gpt":0.33951273447057134,"score_spread":0.21586916631951297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382318354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54243,0.000110430614,0.44576082,0.00016019653,0.00010782086,0.0021926078,0.0007464179,0.00070951966,0.007782282],"genre_scores_gemma":[0.5139127,0.000100318626,0.4795553,0.00015399692,0.000020842926,0.0025451365,0.00058686046,0.00006539889,0.0030594887],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990415,0.00026313,0.000047643844,0.0003129888,0.00021909336,0.00011553846],"domain_scores_gemma":[0.99907136,0.00017201006,0.00008529631,0.000099425684,0.00046163902,0.00011027578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010934356,0.00043697061,0.00034606006,0.001000059,0.0008755432,0.0007127723,0.0009341852,0.0006280967,0.0015359223],"category_scores_gemma":[0.0017826036,0.00065533427,0.00045617562,0.0006157796,0.0003605208,0.0006250979,0.001215608,0.00036858983,0.00046502642],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002108679,0.0017738366,0.22214052,0.0004908615,0.000289839,0.0005040176,0.002244844,0.05262564,0.29470012,0.0033439754,0.003942831,0.41583484],"study_design_scores_gemma":[0.00039233628,0.0045289365,0.31694362,0.00013531653,0.00053031335,0.0007421413,0.003720454,0.5678605,0.086172365,0.0015806427,0.017135255,0.00025818063],"about_ca_topic_score_codex":0.018027382,"about_ca_topic_score_gemma":0.04009495,"teacher_disagreement_score":0.018027382,"about_ca_system_score_codex":0.0007469303,"about_ca_system_score_gemma":0.0027939407,"threshold_uncertainty_score":0.035844922},"labels":[],"label_agreement":null},{"id":"W4383678406","doi":"10.1016/j.fishres.2023.106792","title":"Impact of life history stages on fish species interactions and spatio-temporal distribution","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Ocean University of China; Concordia University","keywords":"Habitat; Range (aeronautics); Life history theory; Species distribution; Ecology; Ordination; Marine protected area; Stage (stratigraphy); Abundance (ecology); Life history; Spatial distribution; Biology; Fishery; Geography","score_opus":0.10414722079183937,"score_gpt":0.3314633571467528,"score_spread":0.22731613635491343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383678406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977475,0.00033124821,0.000070185895,0.00006203951,0.0000053329595,0.0000023781743,0.00023567281,0.0000024583549,0.0015430858],"genre_scores_gemma":[0.9991555,0.00008758964,0.000052218435,0.000015541531,0.0000032408805,0.0000019768302,0.00007055741,0.0000032301054,0.0006100865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996829,0.00011706249,0.000014697249,0.00005806991,0.00003413728,0.000093293245],"domain_scores_gemma":[0.9968957,0.0015979628,0.00048053433,0.00012922802,0.00016938562,0.00072722667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008308055,0.00022346836,0.0001911342,0.0005350278,0.0004570978,0.00070569874,0.00022664994,0.00026437794,0.0074608414],"category_scores_gemma":[0.00274832,0.0001644733,0.00048340467,0.00039516547,0.00042867957,0.00043321628,0.00056724757,0.0003256683,0.00027308278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014236274,0.00010268638,0.98021245,0.000032537126,0.00016779477,0.00021256122,0.00019238866,0.00036267424,0.0084077325,0.00028508954,0.00013277342,0.00846782],"study_design_scores_gemma":[0.0000024668007,0.00007150389,0.9992142,0.0000029935866,0.00002846345,0.000055505374,0.000108255525,0.00013731701,0.00017964149,0.000060066868,0.00013759779,0.0000019654938],"about_ca_topic_score_codex":0.004750508,"about_ca_topic_score_gemma":0.01900764,"teacher_disagreement_score":0.0074608414,"about_ca_system_score_codex":0.00048142573,"about_ca_system_score_gemma":0.00040107535,"threshold_uncertainty_score":0.024958968},"labels":[],"label_agreement":null},{"id":"W4384457685","doi":"10.1016/j.fishres.2023.106797","title":"Using repeat injury assessments in adult sockeye salmon (Oncorhynchus nerka) to predict spawning success and describe severity of migration conditions","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia; Fisheries and Oceans Canada; Carleton University; Dalhousie University","funders":"","keywords":"Spawn (biology); Oncorhynchus; Fish migration; Semelparity and iteroparity; Fishery; Demography; Biology; Ecology; Fish ; Life history","score_opus":0.07666981609125914,"score_gpt":0.3826011716684704,"score_spread":0.3059313555772113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384457685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99973196,0.000011328298,0.00009037148,0.0000037137913,0.0000014875842,0.000007832789,0.00005407801,0.0000041150442,0.00009525262],"genre_scores_gemma":[0.9990404,0.000017351844,0.00039076983,0.000010823066,0.0000013954191,0.000012784689,0.00022208728,0.0000012331124,0.00030312108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998356,0.000030678682,0.000021429962,0.000042753887,0.000035344372,0.000034116583],"domain_scores_gemma":[0.99882644,0.00013197186,0.00059360196,0.00005627616,0.00023791665,0.0001537901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056165614,0.00045261258,0.00016537012,0.0006141376,0.0002591553,0.00032023384,0.00024389329,0.0004248771,0.00046945107],"category_scores_gemma":[0.0015114653,0.00018882085,0.00022998425,0.00025518663,0.00022702776,0.0003203398,0.0002825694,0.0002792024,0.000179161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088201115,0.000074036514,0.996911,0.000003554593,0.00003208875,0.000029633602,0.000045767563,0.00014178043,0.0010839682,0.0000024521744,0.000036970505,0.0015506796],"study_design_scores_gemma":[0.000003308792,0.00019719487,0.9986902,0.0000017742639,0.000011194065,0.000055425342,0.00009268322,0.00072088593,0.00019112109,0.000005879094,0.000028022325,0.000002315655],"about_ca_topic_score_codex":0.026261019,"about_ca_topic_score_gemma":0.14558733,"teacher_disagreement_score":0.026261019,"about_ca_system_score_codex":0.00043626473,"about_ca_system_score_gemma":0.00039983026,"threshold_uncertainty_score":0.05221635},"labels":[],"label_agreement":null},{"id":"W4385145197","doi":"10.1016/j.fishres.2023.106796","title":"Quantifying fish escape under a bottom trawl","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Haddock; Limanda; Gadus; Pleuronectes; Whiting; Fishery; Atlantic cod; Flatfish; Gadidae; Biology; Hake; Fish ","score_opus":0.1605647430411036,"score_gpt":0.3659969102969061,"score_spread":0.20543216725580252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385145197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976521,0.000042306052,0.0010172196,0.000008824854,0.000005121481,0.000004389036,0.00008103469,0.000019030227,0.0011698495],"genre_scores_gemma":[0.9973061,0.0000550269,0.0012465878,0.000016721899,0.000004684058,0.0000062614436,0.00014645391,0.000008706944,0.0012095683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975055,0.000041443418,0.000014420802,0.000064068896,0.00008379525,0.000045711186],"domain_scores_gemma":[0.9992748,0.00016960406,0.00026734578,0.000048684313,0.00011366585,0.00012601093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040620004,0.0003978018,0.00028397783,0.00067416707,0.0003682177,0.00049251906,0.00018999456,0.00037799915,0.0017531443],"category_scores_gemma":[0.0015744983,0.000150751,0.0003624489,0.00029001097,0.00021356536,0.0004827439,0.00049786037,0.00028615017,0.00036395338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061380555,0.00013464142,0.9354007,0.00005607115,0.0003303168,0.00015009627,0.00037675077,0.00548056,0.029697472,0.00022374047,0.0003316901,0.02720401],"study_design_scores_gemma":[0.000006256758,0.00047328716,0.9897054,0.000014579244,0.00007990393,0.00016323829,0.0003333715,0.0068210936,0.0020042495,0.00011471445,0.0002720702,0.0000118205],"about_ca_topic_score_codex":0.007426773,"about_ca_topic_score_gemma":0.027202267,"teacher_disagreement_score":0.007426773,"about_ca_system_score_codex":0.0003430399,"about_ca_system_score_gemma":0.00028353577,"threshold_uncertainty_score":0.014767051},"labels":[],"label_agreement":null},{"id":"W4386352948","doi":"10.1016/j.fishres.2023.106847","title":"Observations of redfish (Sebastes spp.) escaping a T90 mesh codend","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sebastes; Demersal zone; Fishery; Fishing; Environmental science; Fish ; Oceanography; Biology; Geology","score_opus":0.16407165933543066,"score_gpt":0.3475401042721074,"score_spread":0.18346844493667674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386352948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977634,0.0000150591595,0.00015572218,0.000007489471,0.000004492639,0.000009397154,0.00025649287,0.000014845483,0.0017730985],"genre_scores_gemma":[0.99424136,0.00004187786,0.0011232707,0.000022719123,0.000005347387,0.000015600246,0.0005399245,0.000007416468,0.0040024784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998914,0.000009056722,0.0000053009126,0.000030701965,0.00003711567,0.000026556076],"domain_scores_gemma":[0.9996007,0.000050249793,0.000089354005,0.000031018255,0.000108217595,0.000120500576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012912157,0.00016914782,0.0001252939,0.0005864839,0.0004287043,0.00017610808,0.00015736408,0.0003498681,0.002273053],"category_scores_gemma":[0.00042655683,0.00012207677,0.00012518701,0.0002779724,0.00017419086,0.00017987307,0.00038049743,0.00027002284,0.000609752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007720986,0.0001352201,0.7291727,0.00007783661,0.00004604328,0.00068850635,0.0018256793,0.00035550032,0.23512714,0.00010251218,0.0013196082,0.030377166],"study_design_scores_gemma":[0.000004708148,0.00026174146,0.9947101,0.000008873881,0.0000076012,0.00018432029,0.000391644,0.00028560258,0.0034014534,0.000009780969,0.0007297848,0.000004386225],"about_ca_topic_score_codex":0.014350021,"about_ca_topic_score_gemma":0.057782333,"teacher_disagreement_score":0.014350021,"about_ca_system_score_codex":0.00017621592,"about_ca_system_score_gemma":0.00020279274,"threshold_uncertainty_score":0.028532982},"labels":[],"label_agreement":null},{"id":"W4387006654","doi":"10.1016/j.fishres.2023.106863","title":"Monitoring reproduction in fish: Assessing the adequacy of ogives and the predicted uncertainty of their L50 estimates for more reliable biological inferences","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Logit; Statistics; Econometrics; Probit; Fish ; Computer science; Negative binomial distribution; Mathematics; Fishery; Biology","score_opus":0.13476333889228664,"score_gpt":0.38567770433866483,"score_spread":0.2509143654463782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387006654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92314506,0.0027660348,0.06683759,0.00047740844,0.000047823483,0.000076381046,0.0010324282,0.0002191011,0.005398177],"genre_scores_gemma":[0.98645973,0.00032144666,0.012356302,0.0001356514,0.000027809061,0.00003731132,0.00033177924,0.000022397971,0.0003076086],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954354,0.002601036,0.00036658256,0.0005386917,0.00086164335,0.00019667952],"domain_scores_gemma":[0.9699866,0.022784196,0.0035191476,0.0014588959,0.0018620045,0.0003892068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0143067995,0.00076737977,0.00071602524,0.0017995979,0.0004763088,0.0016437913,0.0011107726,0.001500054,0.0004784931],"category_scores_gemma":[0.045469295,0.0003922412,0.0006547693,0.00086483854,0.0008882065,0.0021080612,0.0015675311,0.00057197874,0.0003076099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047824014,0.000073394454,0.9274754,0.00015395755,0.00040450192,0.00006519239,0.00023519846,0.01858201,0.0037145636,0.00042818507,0.00030767804,0.048081644],"study_design_scores_gemma":[0.00005424695,0.0009337408,0.8488279,0.00024184381,0.0004526434,0.00038373913,0.0005666293,0.13369179,0.009129188,0.003829973,0.0017728794,0.00011534625],"about_ca_topic_score_codex":0.0068329643,"about_ca_topic_score_gemma":0.01182315,"teacher_disagreement_score":0.0143067995,"about_ca_system_score_codex":0.0005869659,"about_ca_system_score_gemma":0.0004888694,"threshold_uncertainty_score":0.07566249},"labels":[],"label_agreement":null},{"id":"W4389366895","doi":"10.1016/j.fishres.2023.106918","title":"Fishery implications of smaller asymptotic body size: Insights from fish in an extreme environment","year":2023,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vital rates; Fishery; Pelagic zone; Yield (engineering); Fish ; Environmental science; Salinity; Mortality rate; Geography; Ecology; Biology; Population; Demography; Physics","score_opus":0.1009944689810794,"score_gpt":0.31464498127301765,"score_spread":0.21365051229193827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389366895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925086,0.00017678429,0.00072162185,0.0005865807,0.0000055663604,0.0000017964653,0.00004485077,0.0000038570433,0.005950347],"genre_scores_gemma":[0.9993125,0.00010290869,0.00013644775,0.000033314333,0.0000061323335,0.000001614043,0.00002034494,0.0000030342721,0.00038375458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999093,0.000020897023,0.0000040011587,0.000018538381,0.00001897627,0.00002824879],"domain_scores_gemma":[0.99936897,0.00025905934,0.00012349644,0.000052605657,0.000083116174,0.00011273826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037355194,0.00015304725,0.00021431441,0.0003495894,0.0003422021,0.00055908866,0.0003631477,0.0004332363,0.0034201483],"category_scores_gemma":[0.002371507,0.00008606243,0.00021575844,0.0002529484,0.0013027287,0.0006949506,0.0006771161,0.00048717074,0.00015889281],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007453251,0.00024979006,0.80196756,0.00017862368,0.00013319812,0.0023062741,0.0037289918,0.0171108,0.036728267,0.039588876,0.0016723587,0.09559005],"study_design_scores_gemma":[0.000008580637,0.00009632278,0.9694495,0.0000224156,0.00002006874,0.00038603408,0.0020033095,0.0035053233,0.0006265264,0.023167893,0.0007009085,0.000013033248],"about_ca_topic_score_codex":0.0061233616,"about_ca_topic_score_gemma":0.009697768,"teacher_disagreement_score":0.0061233616,"about_ca_system_score_codex":0.00040041027,"about_ca_system_score_gemma":0.0003179641,"threshold_uncertainty_score":0.012175441},"labels":[],"label_agreement":null},{"id":"W4390597986","doi":"10.1016/j.fishres.2023.106931","title":"Evaluating immobilisation thresholds and suitability of conductive glove electrodes for largemouth bass electroanaesthesia","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Fisheries and Oceans Canada; Carleton University","funders":"Cystic Fibrosis Ireland; Natural Sciences and Engineering Research Council of Canada","keywords":"Bass (fish); Fishery; Electrode; Environmental science; Biology; Chemistry","score_opus":0.13262807559843426,"score_gpt":0.413033034056435,"score_spread":0.28040495845800073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390597986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962746,0.0002457757,0.0029055532,0.000023877179,0.000017411901,0.000049345457,0.000039040235,0.000011284095,0.00043311797],"genre_scores_gemma":[0.99770856,0.00018084575,0.0013613693,0.00003115583,0.000007541278,0.000035962774,0.000053973086,0.0000066996477,0.0006139239],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993949,0.00018537798,0.00008264857,0.00010684683,0.00013804094,0.00009208804],"domain_scores_gemma":[0.9985537,0.0007797421,0.00016945324,0.000059812817,0.00031523575,0.00012202301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009848826,0.0004082369,0.00022789223,0.0003289428,0.00019108044,0.0004625793,0.0002504624,0.0007092698,0.0014699482],"category_scores_gemma":[0.0041107177,0.00018038522,0.0003444781,0.00016330175,0.00044674994,0.0006598935,0.00028021872,0.00033005548,0.00021997583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069218385,0.00052601326,0.04162726,0.0002150059,0.00007518552,0.00033999365,0.0002509396,0.00055697834,0.92851126,0.00014010943,0.00009551025,0.020739997],"study_design_scores_gemma":[0.0002499009,0.033699848,0.47088262,0.000070183996,0.00045930603,0.0021957974,0.0012054757,0.00908103,0.48085153,0.00032156933,0.0009195205,0.00006309886],"about_ca_topic_score_codex":0.0013148548,"about_ca_topic_score_gemma":0.0023900305,"teacher_disagreement_score":0.0014699482,"about_ca_system_score_codex":0.00021232927,"about_ca_system_score_gemma":0.00023432811,"threshold_uncertainty_score":0.0052086115},"labels":[],"label_agreement":null},{"id":"W4390848655","doi":"10.1016/j.fishres.2024.106950","title":"Are state-space stock assessment model confidence intervals accurate? Case studies with SAM and Barents Sea stocks","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute; Memorial University of Newfoundland","keywords":"Confidence interval; Frequentist inference; Statistics; Confidence distribution; Stock assessment; Robust confidence intervals; Credible interval; Econometrics; Inference; Coverage probability; Point estimation; Mathematics; Bayesian inference; Bayesian probability; Computer science; Fishery; Fishing","score_opus":0.15244083592536858,"score_gpt":0.4243890374158151,"score_spread":0.2719482014904465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390848655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8316147,0.0016521595,0.15815091,0.0014067893,0.00006464753,0.0001536295,0.0013344667,0.0004035459,0.005219208],"genre_scores_gemma":[0.9866954,0.00012046315,0.012506258,0.00004818923,0.000019465457,0.0000329694,0.0003323529,0.000027823506,0.00021710203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9799405,0.012684152,0.0015068514,0.0022751626,0.002749599,0.0008438076],"domain_scores_gemma":[0.6355674,0.31283185,0.0190285,0.020304792,0.011453476,0.00081397506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06217126,0.0006383744,0.001215814,0.002065587,0.0007122471,0.002435356,0.0031309417,0.0023997428,0.0018106358],"category_scores_gemma":[0.32037392,0.00054337486,0.0017979513,0.002699847,0.0020628849,0.004311555,0.001490383,0.0018161798,0.00019035759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010498598,0.00013463116,0.25892144,0.00040561563,0.000996529,0.0017024606,0.0018274536,0.6403613,0.0008110869,0.028106727,0.0014943874,0.06418852],"study_design_scores_gemma":[0.00009348995,0.0004217762,0.05818469,0.00020414007,0.0002410382,0.0008865323,0.0012134418,0.8921556,0.0019668813,0.041881207,0.0026107498,0.00014039618],"about_ca_topic_score_codex":0.027298277,"about_ca_topic_score_gemma":0.013373621,"teacher_disagreement_score":0.06217126,"about_ca_system_score_codex":0.0015948055,"about_ca_system_score_gemma":0.0012402553,"threshold_uncertainty_score":0.32879698},"labels":[],"label_agreement":null},{"id":"W4399060775","doi":"10.1016/j.fishres.2024.107061","title":"Integrating different aging methods to model the dynamics of hard-to-age crab growth: Age at size estimates for the Jonah crab (Cancer borealis)","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Maine Sea Grant, University of Maine; State of Maine Department of Marine Resources; U.S. Department of Agriculture","keywords":"Growth model; Biology; Fishery; Dynamics (music); Demography; Statistics; Oceanography; Mathematics; Geology; Psychology; Sociology","score_opus":0.09704758571143908,"score_gpt":0.4118124248086476,"score_spread":0.31476483909720854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399060775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87516457,0.0008114688,0.120179705,0.0005402043,0.000100966434,0.000045760644,0.0006033229,0.00015405823,0.0023999764],"genre_scores_gemma":[0.9809183,0.00029608648,0.015115864,0.000088872126,0.000026835252,0.0000586095,0.0003483356,0.00006686308,0.0030802896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978024,0.00007403373,0.000016504877,0.000062148596,0.000028122235,0.000039071903],"domain_scores_gemma":[0.9977355,0.001383502,0.0003815273,0.00011200682,0.00024892992,0.0001384859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024076803,0.0006891796,0.00060655415,0.0007582685,0.0003899756,0.0007316505,0.0012357421,0.0012189971,0.0011906951],"category_scores_gemma":[0.0063655092,0.00046656822,0.0010016151,0.00052760536,0.00057830557,0.000838525,0.00065257645,0.0007705097,0.00019572489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005193664,0.00005029385,0.02204247,0.000035899135,0.00006730928,0.000046306097,0.000082004684,0.9665999,0.0015251894,0.0023496854,0.00026990141,0.006879126],"study_design_scores_gemma":[0.000006196331,0.00003016683,0.0053739944,0.0000063017897,0.000026596072,0.000021544072,0.000024988558,0.9931942,0.00025164994,0.00079791644,0.00025265434,0.000013685133],"about_ca_topic_score_codex":0.05465148,"about_ca_topic_score_gemma":0.037929635,"teacher_disagreement_score":0.05465148,"about_ca_system_score_codex":0.0013538323,"about_ca_system_score_gemma":0.00095205114,"threshold_uncertainty_score":0.10866672},"labels":[],"label_agreement":null},{"id":"W4399574736","doi":"10.1016/j.fishres.2024.107063","title":"Model-based indices of juvenile Pacific salmon abundance highlight species-specific seasonal distributions and impacts of changes to survey design","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Abundance (ecology); Juvenile; Fishery; Environmental science; Oceanography; Geography; Ecology; Biology; Geology","score_opus":0.10422415529877686,"score_gpt":0.32064928697149125,"score_spread":0.21642513167271438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399574736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51126677,0.00042687895,0.48384795,0.0002939573,0.000026676016,0.00015601923,0.0010857393,0.0004658167,0.0024301545],"genre_scores_gemma":[0.9485091,0.000097636184,0.050257776,0.000075148455,0.0000064754126,0.000118491604,0.0005054338,0.000059348356,0.00037064825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99431854,0.0039917324,0.00022824644,0.0008679193,0.00043817027,0.00015530862],"domain_scores_gemma":[0.9881181,0.007048509,0.0026224153,0.0014786466,0.000631194,0.00010106064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009873714,0.00042397992,0.00046726014,0.0008128359,0.00030452735,0.0009684283,0.00070456706,0.0004054414,0.00073122565],"category_scores_gemma":[0.022250647,0.00047822707,0.000677497,0.0010205868,0.00061442866,0.0008888723,0.0006405416,0.0005934502,0.00014553512],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001513874,0.000119459124,0.7318782,0.00032250088,0.0012459626,0.00007022659,0.00045066205,0.16685861,0.007322184,0.0061034323,0.0011367003,0.08434064],"study_design_scores_gemma":[0.000029565606,0.00036853374,0.6375444,0.00007011583,0.00028437618,0.00018411766,0.0002923968,0.3450527,0.003271806,0.008138141,0.0046919654,0.00007194676],"about_ca_topic_score_codex":0.0176981,"about_ca_topic_score_gemma":0.055256244,"teacher_disagreement_score":0.0176981,"about_ca_system_score_codex":0.0013515173,"about_ca_system_score_gemma":0.001130276,"threshold_uncertainty_score":0.05221784},"labels":[],"label_agreement":null},{"id":"W4400645015","doi":"10.1016/j.fishres.2024.107110","title":"Exploring capelin (Mallotus villosus) population dynamics using Empirical Dynamic Modelling (EDM)","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mallotus; Capelin; Population; Fishery; Geography; Biology; Ecology; Fish ; Demography; Sociology; Predation","score_opus":0.4661135666154262,"score_gpt":0.42743617819325674,"score_spread":0.038677388422169445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400645015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334043,0.000051925017,0.0052694334,0.0000670417,0.0000034064838,0.0000064596497,0.00012018111,0.000026079279,0.0011151576],"genre_scores_gemma":[0.9970709,0.000035933004,0.0023743599,0.000009123942,0.0000012146766,0.000008928751,0.00008107627,0.0000071267314,0.00041135936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99995697,0.000013060558,0.0000027401675,0.00001343434,0.0000045256857,0.0000092678865],"domain_scores_gemma":[0.99972826,0.00018187876,0.00003830721,0.000015294117,0.000015983922,0.000020281132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020781392,0.0003000231,0.00025464853,0.00041298312,0.00026801098,0.00047680462,0.0004683917,0.00051404984,0.0010633041],"category_scores_gemma":[0.0011410313,0.00033510887,0.00034865696,0.00029549302,0.00023161927,0.00048217477,0.00030578038,0.00024680563,0.000089078894],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009930813,0.00007810306,0.050854854,0.000083577346,0.000101785285,0.00027308994,0.00026123194,0.93275446,0.005354685,0.0014320158,0.00031087568,0.008396038],"study_design_scores_gemma":[0.0000049659952,0.00002169461,0.010005089,0.000006784268,0.000015783691,0.00002589351,0.00007435023,0.98933196,0.00015314801,0.00021178914,0.00014178958,0.0000067990873],"about_ca_topic_score_codex":0.09040428,"about_ca_topic_score_gemma":0.07735896,"teacher_disagreement_score":0.09040428,"about_ca_system_score_codex":0.00070845615,"about_ca_system_score_gemma":0.00047718929,"threshold_uncertainty_score":0.1797561},"labels":[],"label_agreement":null},{"id":"W4400720392","doi":"10.1016/j.fishres.2024.107102","title":"Estimating age-at-maturity for individual Atlantic bluefin tuna (Thunnus thynnus) from back-calculated growth trajectories","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Windsor; Fisheries and Oceans Canada","funders":"","keywords":"Thunnus; Tuna; Fishery; Scombridae; Maturity (psychological); Albacore; Biology; Geography; Fish ","score_opus":0.06590527455929641,"score_gpt":0.3210236849094904,"score_spread":0.255118410350194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400720392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99622583,0.00009070383,0.00258175,0.000012283825,0.000004444632,0.000005119942,0.0007011633,0.000031388674,0.00034738512],"genre_scores_gemma":[0.99347746,0.00006684416,0.004059821,0.000004819283,0.0000022537665,0.00000676547,0.0018394254,0.000011192096,0.0005313701],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986243,0.000025710686,0.000008288639,0.000056967714,0.00002534979,0.000021169617],"domain_scores_gemma":[0.9993599,0.00018877594,0.00013698802,0.000060217593,0.00017151354,0.000082504004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066117797,0.00037371492,0.00018523494,0.00092335616,0.00025076873,0.00041584665,0.00036396168,0.00039458202,0.0007636692],"category_scores_gemma":[0.0023040944,0.0002745023,0.000391315,0.00037888795,0.00009218841,0.00034091246,0.00048154278,0.00023173523,0.00056962145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017918115,0.000046351382,0.9653626,0.000018723187,0.00012569845,0.000059037768,0.00008531782,0.010813259,0.002688798,0.000102402664,0.00018954309,0.020329155],"study_design_scores_gemma":[0.000012821917,0.00008354197,0.8959636,0.000024014376,0.00008475808,0.00013630539,0.00015050996,0.10126742,0.0015003948,0.0001593664,0.00060050463,0.000016884853],"about_ca_topic_score_codex":0.052918218,"about_ca_topic_score_gemma":0.09987541,"teacher_disagreement_score":0.052918218,"about_ca_system_score_codex":0.00049669313,"about_ca_system_score_gemma":0.00036981484,"threshold_uncertainty_score":0.10522044},"labels":[],"label_agreement":null},{"id":"W4400918069","doi":"10.1016/j.fishres.2024.107113","title":"Trends in population starvation mortality based on a spatiotemporal model of condition: Part 1: A case study of Atlantic cod on the Southern Grand Bank","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Fisheries and Oceans Canada","funders":"","keywords":"Stock (firearms); Stock assessment; Starvation; Fishery; Population; Fish stock; Mortality rate; Fisheries management; Statistics; Environmental science; Mathematics; Geography; Ecology; Demography; Biology; Fish ; Fishing","score_opus":0.14996092139827588,"score_gpt":0.3666592025245587,"score_spread":0.2166982811262828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400918069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977774,0.000027292126,0.0011227553,0.00007971681,0.0000015013861,0.000008262013,0.0005573966,0.000016549346,0.0004091005],"genre_scores_gemma":[0.99838233,0.000030320592,0.0009852748,0.0000072013668,0.0000014472569,0.0000070196966,0.00030565646,0.0000031844343,0.00027757022],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984956,0.000051913223,0.0000119411325,0.000048201673,0.000011789438,0.00002659676],"domain_scores_gemma":[0.99926597,0.0003350096,0.00018353492,0.000059243113,0.00010967882,0.000046450146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074410805,0.00029948555,0.00021684654,0.0005633904,0.00026975805,0.0006404586,0.00060773036,0.0003710931,0.00087075774],"category_scores_gemma":[0.001542581,0.0002215471,0.00056922174,0.0006579696,0.00036565468,0.0004468682,0.00035563213,0.00035799938,0.000086153246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000903418,0.000070992646,0.6320146,0.000025498752,0.00012415722,0.0003409927,0.00020837819,0.3599385,0.0011165559,0.0016220008,0.00048334055,0.0039647114],"study_design_scores_gemma":[0.000012111463,0.00006459185,0.17990494,0.000010731891,0.000056568977,0.00007224499,0.0002864642,0.8185003,0.000239685,0.00056085363,0.0002699182,0.00002169132],"about_ca_topic_score_codex":0.37334755,"about_ca_topic_score_gemma":0.3970574,"teacher_disagreement_score":0.6266525,"about_ca_system_score_codex":0.0030629567,"about_ca_system_score_gemma":0.0007252027,"threshold_uncertainty_score":0.74234885},"labels":[],"label_agreement":null},{"id":"W4402515571","doi":"10.1016/j.fishres.2024.107174","title":"Time varying M with starvation mortality in a state-space stock assessment model: Part 2: Atlantic cod (Gadus morhua) on the southern Grand Bank of Newfoundland","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Ocean Frontier Institute","keywords":"Gadus; Atlantic cod; Fishery; Stock (firearms); Stock assessment; Gadidae; Geography; Oceanography; Biology; Fish ; Archaeology; Geology; Fishing","score_opus":0.06783674146972415,"score_gpt":0.32623430443461354,"score_spread":0.25839756296488936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402515571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97468555,0.00018451457,0.020279795,0.0006047738,0.00003542791,0.00005485869,0.0009849246,0.000102741324,0.0030674427],"genre_scores_gemma":[0.9930674,0.00007337475,0.002764459,0.00006356818,0.000015593452,0.000058008234,0.0004429438,0.000011237541,0.003503431],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976844,0.000074129784,0.000012204098,0.00006634294,0.000019479232,0.000059559563],"domain_scores_gemma":[0.99901044,0.0005244995,0.0001884055,0.000041790314,0.00015664952,0.00007827432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011345473,0.0008186357,0.0005762752,0.00042163438,0.00056217896,0.0012493184,0.0013272036,0.0014787666,0.0015266713],"category_scores_gemma":[0.0019965265,0.00061880157,0.000926632,0.0003479057,0.0008552677,0.0005497723,0.0010281301,0.0012177095,0.00017659958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058308284,0.000037050104,0.013533367,0.000011839891,0.000048516984,0.00008735623,0.000031938205,0.9834699,0.00022821846,0.0009188381,0.0002807146,0.0012939152],"study_design_scores_gemma":[0.000015187501,0.000014394301,0.0030551043,0.0000045576626,0.000022527183,0.0000065778345,0.000020965488,0.9964546,0.000056471265,0.00025211845,0.00008757658,0.000009968968],"about_ca_topic_score_codex":0.38764128,"about_ca_topic_score_gemma":0.2748631,"teacher_disagreement_score":0.6123587,"about_ca_system_score_codex":0.0022518707,"about_ca_system_score_gemma":0.0019073199,"threshold_uncertainty_score":0.7707699},"labels":[],"label_agreement":null},{"id":"W4403519685","doi":"10.1016/j.fishres.2024.107205","title":"Testing and implementation of an exclusion device for mitigating the incidental capture of sea lions in the Chilean small-scale trawl hake fishery","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fishery; Hake; Scale (ratio); Oceanography; Environmental science; Geography; Fish ; Geology; Biology; Cartography","score_opus":0.08454897474414562,"score_gpt":0.36114338767282833,"score_spread":0.2765944129286827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403519685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871072,0.0004173992,0.0046356083,0.0009944008,0.00010451772,0.00048849615,0.00012476869,0.000113562135,0.006013983],"genre_scores_gemma":[0.9818533,0.0004896151,0.01074541,0.00047857518,0.000018852135,0.0005662057,0.0001752472,0.000017160744,0.005655679],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99870753,0.00047289487,0.00009714557,0.00016561337,0.00037716568,0.00017965386],"domain_scores_gemma":[0.99650913,0.0013154013,0.0007874195,0.0002353711,0.00089890586,0.00025379175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002302865,0.0005923637,0.000278547,0.00042763897,0.0010617434,0.0007040301,0.0014182188,0.0011228872,0.0031147536],"category_scores_gemma":[0.00809898,0.00016005426,0.00035514595,0.0001604029,0.00076843135,0.00078381324,0.0008247525,0.00047464162,0.00044890656],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00479289,0.009839331,0.4215251,0.0017697716,0.00027068664,0.001348298,0.009864776,0.003713248,0.084222965,0.0020781585,0.0076878974,0.45288688],"study_design_scores_gemma":[0.00062704284,0.046342734,0.78555447,0.0031016744,0.00096755906,0.0014156628,0.02221503,0.024428042,0.07251156,0.0019333364,0.04052961,0.00037325357],"about_ca_topic_score_codex":0.023125479,"about_ca_topic_score_gemma":0.04037953,"teacher_disagreement_score":0.023125479,"about_ca_system_score_codex":0.0010915358,"about_ca_system_score_gemma":0.0030634939,"threshold_uncertainty_score":0.045981705},"labels":[],"label_agreement":null},{"id":"W4403929785","doi":"10.1016/j.fishres.2024.107209","title":"Implementing a fishery improvement programme to manage the common cuttlefish (Sepia officinalis) in artisanal sea and lagoon fisheries: The case study of the Chioggia’s fleet","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of Environment and Conservation","funders":"European Maritime and Fisheries Fund; Università degli Studi di Padova","keywords":"Sepia; Cuttlefish; Fishery; Fisheries science; Fishing; Officinalis; Fisheries management; Biology","score_opus":0.0704205951187295,"score_gpt":0.3306167476684828,"score_spread":0.2601961525497533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403929785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99098045,0.00081939856,0.00070202,0.0005420715,0.000020270387,0.0002653807,0.00004274222,0.000011734689,0.006615898],"genre_scores_gemma":[0.99285394,0.0010572522,0.002762638,0.00017454996,0.000012968056,0.000091308306,0.000056084093,0.000003171861,0.0029880712],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99960965,0.00014411271,0.00001888203,0.000037643877,0.000058620382,0.00013122024],"domain_scores_gemma":[0.99949443,0.00015663903,0.00011714684,0.000026076374,0.00010161251,0.00010408827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092689,0.0002165645,0.000088979046,0.000719169,0.00095913716,0.00058754097,0.0004872309,0.00052832527,0.0006707953],"category_scores_gemma":[0.0012088111,0.00006457582,0.00020407584,0.0006317541,0.00065603544,0.00037043425,0.00059890933,0.00026654903,0.00006067391],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032830835,0.0026883672,0.33034867,0.0039117336,0.00021020333,0.043738898,0.03691544,0.008699502,0.022473061,0.0052732266,0.004925375,0.54048723],"study_design_scores_gemma":[0.00015330136,0.0048203007,0.7568313,0.0014927924,0.00036720675,0.004722931,0.096571095,0.005170609,0.008012276,0.001051375,0.12069753,0.00010932513],"about_ca_topic_score_codex":0.041344784,"about_ca_topic_score_gemma":0.092762955,"teacher_disagreement_score":0.041344784,"about_ca_system_score_codex":0.002106985,"about_ca_system_score_gemma":0.0032686484,"threshold_uncertainty_score":0.082208276},"labels":[],"label_agreement":null},{"id":"W4404558905","doi":"10.1016/j.fishres.2024.107222","title":"Expected improvements in precision when integrating opportunistic close-kin mark-recapture data into fisheries stock assessments","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Marine Fisheries Service","keywords":"Mark and recapture; Fishery; Stock assessment; Stock (firearms); Geography; Biology; Fishing; Demography; Archaeology","score_opus":0.11055116156601089,"score_gpt":0.38820878830517647,"score_spread":0.2776576267391656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404558905","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4390601,0.009820698,0.49250638,0.00859794,0.0021489575,0.0010093433,0.017522134,0.0040735286,0.025260808],"genre_scores_gemma":[0.70447075,0.0011401062,0.28186226,0.00201069,0.00042159177,0.00035010432,0.005690168,0.00016430764,0.0038901116],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9832063,0.009534038,0.0010104476,0.0022857815,0.003187379,0.0007760689],"domain_scores_gemma":[0.8676227,0.0579125,0.007986189,0.0142372325,0.050857194,0.0013842854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05920466,0.0015570911,0.0011026174,0.002565224,0.00070790644,0.0036673169,0.0024092956,0.002949139,0.0028050053],"category_scores_gemma":[0.13539752,0.000749052,0.001124563,0.0023864622,0.0007400372,0.005223576,0.0020329712,0.0012503469,0.0021055208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019958192,0.00034554437,0.61843085,0.0009428185,0.0016248534,0.0002474164,0.00047452783,0.02909835,0.013730052,0.0028795984,0.009660028,0.32057017],"study_design_scores_gemma":[0.00028471363,0.0022473228,0.77133363,0.0011228954,0.0023467762,0.0016360338,0.0015707788,0.12611149,0.04794938,0.020778092,0.024290271,0.00032856993],"about_ca_topic_score_codex":0.01566631,"about_ca_topic_score_gemma":0.027895434,"teacher_disagreement_score":0.05920466,"about_ca_system_score_codex":0.00126008,"about_ca_system_score_gemma":0.0016046704,"threshold_uncertainty_score":0.31310785},"labels":[],"label_agreement":null},{"id":"W4404742932","doi":"10.1016/j.fishres.2024.107227","title":"Ice angling for northern pike (Esox lucius) with tip ups: Hook style affects angler catch and fish welfare","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Esox; Pike; Hook; Fishing; Fishery; Fish ; Biology; Engineering","score_opus":0.025720080017345603,"score_gpt":0.28098016323803215,"score_spread":0.25526008322068655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404742932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99939084,0.000037537637,0.000101935264,0.000021816531,0.0000040208397,0.0000057132174,0.00005777612,0.000009404154,0.00037087116],"genre_scores_gemma":[0.9978866,0.000050795952,0.00039663608,0.00007542527,0.000004204012,0.000019137338,0.00014814989,0.000010006724,0.0014091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984956,0.00002190629,0.000007951165,0.000045708868,0.000027457547,0.000047409234],"domain_scores_gemma":[0.9997416,0.000023545379,0.00009629156,0.000013188503,0.000023435965,0.000101835765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002069522,0.00023309872,0.00024713718,0.00019735223,0.00029452267,0.00040839723,0.00011977913,0.00019977656,0.0016634855],"category_scores_gemma":[0.00043228315,0.00014982898,0.00030423774,0.00008858182,0.00025327105,0.00021338116,0.0003583155,0.00033328927,0.00036628966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020120414,0.00070016365,0.6252805,0.00011623722,0.00015869012,0.000664394,0.00062214007,0.00025655338,0.35165036,0.000039697356,0.00094781787,0.017551452],"study_design_scores_gemma":[0.0000034539357,0.0004161592,0.9966822,0.0000034454115,0.00001912356,0.00008646343,0.00015779662,0.00012163542,0.0023443,0.0000051987704,0.00015661014,0.0000035352127],"about_ca_topic_score_codex":0.010350739,"about_ca_topic_score_gemma":0.038920645,"teacher_disagreement_score":0.010350739,"about_ca_system_score_codex":0.00045017138,"about_ca_system_score_gemma":0.00020907218,"threshold_uncertainty_score":0.020580947},"labels":[],"label_agreement":null},{"id":"W4405660035","doi":"10.1016/j.fishres.2024.107254","title":"Fish ID face-off: A comparison of genetic barcoding and otolith shape analysis for streamlining species identification of mesopelagic fishes","year":2024,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; University of Victoria","funders":"Canada First Research Excellence Fund; University of Victoria; University of Guelph","keywords":"Mesopelagic zone; Otolith; DNA barcoding; Fish ; Fishery; Identification (biology); Biology; Zoology; Ecology; Pelagic zone","score_opus":0.11747065023848008,"score_gpt":0.3952722187678809,"score_spread":0.2778015685294008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405660035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93145704,0.0016051787,0.05075676,0.0002677299,0.00035170084,0.0004288757,0.005288663,0.0018754507,0.007968662],"genre_scores_gemma":[0.86831003,0.00085957674,0.119493656,0.0003862577,0.00013419474,0.00066102715,0.006441394,0.00031114148,0.0034026906],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966858,0.0007737805,0.00021539992,0.0007308669,0.0013913957,0.00020266602],"domain_scores_gemma":[0.9949722,0.0019316595,0.00069450075,0.00036332005,0.001780163,0.0002581332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004256104,0.0007645072,0.00082353834,0.003062846,0.000542226,0.0008827854,0.0009622254,0.0008293782,0.0024941545],"category_scores_gemma":[0.009618124,0.0003712136,0.00076235854,0.0012139671,0.00039003734,0.001801744,0.002040338,0.0004904105,0.0012837584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004845897,0.00041424832,0.34993097,0.0010187258,0.0011936428,0.0002824799,0.0013783372,0.0027279719,0.030702602,0.0010642512,0.0060465042,0.60039437],"study_design_scores_gemma":[0.00027969875,0.0027823434,0.8216357,0.0002939215,0.0011067719,0.001976805,0.0017493481,0.12093413,0.03716935,0.0018995188,0.00944498,0.0007274385],"about_ca_topic_score_codex":0.0075824065,"about_ca_topic_score_gemma":0.015594522,"teacher_disagreement_score":0.0075824065,"about_ca_system_score_codex":0.0006300792,"about_ca_system_score_gemma":0.00076252857,"threshold_uncertainty_score":0.02250868},"labels":[],"label_agreement":null},{"id":"W4406061535","doi":"10.1016/j.fishres.2024.107245","title":"Using otolith δ18O to assess habitat selection and growth in young-of-the-year Arctic charr","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; University of Waterloo","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Otolith; Arctic; Habitat; Selection (genetic algorithm); Fishery; Geography; Ecology; Fish ; Environmental science; Oceanography; Biology; Geology; Computer science","score_opus":0.07347337652511145,"score_gpt":0.3485846912068579,"score_spread":0.2751113146817465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406061535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995944,0.000044815388,0.00009955453,0.000003194881,0.0000016648269,0.0000021523163,0.00014794248,0.0000032127216,0.00010306178],"genre_scores_gemma":[0.9990332,0.000048768306,0.00033612622,0.000007136543,0.0000026025182,0.0000055318596,0.00035195568,0.0000029556024,0.00021168539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997813,0.000042739455,0.00001857145,0.00006554074,0.000050751456,0.000041076542],"domain_scores_gemma":[0.9986889,0.000142823,0.0006482661,0.000069088535,0.00022788663,0.00022306136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006652862,0.00039084227,0.0002628521,0.0008376046,0.00037510964,0.00040305313,0.00023699221,0.00018753385,0.00044450472],"category_scores_gemma":[0.0011626612,0.00020662333,0.00026258908,0.00054542866,0.00030998333,0.00027178225,0.000321261,0.00026370355,0.00030017816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089817135,0.000016047661,0.994557,0.00000597972,0.00002473571,0.000032296506,0.00012265475,0.00008575267,0.0026753459,0.000004173554,0.000023598273,0.0023625456],"study_design_scores_gemma":[0.0000011461636,0.000042513468,0.9994646,0.0000011361676,0.000005359677,0.00005062856,0.00009959543,0.00010658142,0.00018189756,0.0000035466237,0.000040950785,0.0000020981931],"about_ca_topic_score_codex":0.021295624,"about_ca_topic_score_gemma":0.10742415,"teacher_disagreement_score":0.021295624,"about_ca_system_score_codex":0.00045716143,"about_ca_system_score_gemma":0.0002720262,"threshold_uncertainty_score":0.042343378},"labels":[],"label_agreement":null},{"id":"W4407734611","doi":"10.1016/j.fishres.2025.107296","title":"Vateritic otoliths in hatchery-reared Strait of Georgia coho salmon: Variation among stocks, hatcheries, and life stages","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Hatchery; Fishery; Oceanography; Otolith; Variation (astronomy); Geography; Biology; Fish ; Geology","score_opus":0.02685849881148409,"score_gpt":0.29700363139549296,"score_spread":0.27014513258400885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407734611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994351,0.000069337126,0.000037078255,0.0000031160744,0.0000013151878,0.0000030996366,0.00025107514,0.000002655706,0.00019721326],"genre_scores_gemma":[0.99881434,0.00010258564,0.0001538478,0.000010537367,0.0000014257485,0.0000049137006,0.00063728896,0.0000026541097,0.00027246453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999846,0.0000100575935,0.00001911492,0.00004436298,0.00005379241,0.000026731333],"domain_scores_gemma":[0.9995559,0.000031545656,0.00017208462,0.000023867387,0.00016010158,0.00005644189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021228353,0.00026114128,0.00015307951,0.0010985987,0.00034563293,0.0004377726,0.00017348077,0.00017711258,0.000446433],"category_scores_gemma":[0.00046396622,0.0001599197,0.00019181281,0.0007560271,0.00026776374,0.00015799419,0.00034960822,0.00011765851,0.00015205536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034818997,0.0000070359893,0.98525745,0.000015249117,0.000037766087,0.00004012928,0.00027376245,0.00003170699,0.011526199,0.000004566497,0.000057943435,0.0027132963],"study_design_scores_gemma":[1.6603973e-7,0.000008255473,0.9996754,0.0000010909333,0.000003297486,0.00002000659,0.00007919259,0.000016268436,0.0001600821,4.9109184e-7,0.000035164627,6.4423284e-7],"about_ca_topic_score_codex":0.10150292,"about_ca_topic_score_gemma":0.3789984,"teacher_disagreement_score":0.10150292,"about_ca_system_score_codex":0.00052938686,"about_ca_system_score_gemma":0.00039706277,"threshold_uncertainty_score":0.20182425},"labels":[],"label_agreement":null},{"id":"W4407869221","doi":"10.1016/j.fishres.2025.107305","title":"Standardization of commercial catch data from multiple gears in mixed fisheries accounting for preferential sampling, catchability, and fishing effort","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Maritime and Fisheries Fund; Institute for Clinical Evaluative Sciences","keywords":"Fishery; Fishing; Sampling (signal processing); Standardization; Environmental science; Business; Accounting; Biology; Engineering; Computer science; Telecommunications","score_opus":0.13793888443216648,"score_gpt":0.38066227730511965,"score_spread":0.24272339287295316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407869221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6455953,0.00076929294,0.33503425,0.00024680878,0.0001706257,0.00035236083,0.014944006,0.000655259,0.002232122],"genre_scores_gemma":[0.8677528,0.00023969679,0.11058137,0.00008598493,0.000061521314,0.0006288611,0.019636009,0.00010516643,0.0009085436],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942866,0.001985061,0.0010507507,0.0015824753,0.0008498619,0.00024522239],"domain_scores_gemma":[0.98825467,0.0022952813,0.00306274,0.0044648787,0.001821983,0.00010040805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010294173,0.0008000097,0.0005159341,0.0025270912,0.0003907495,0.0011792858,0.0011883271,0.0005674044,0.0006127888],"category_scores_gemma":[0.019269517,0.00034458173,0.0012265233,0.004217168,0.0006951798,0.0010873164,0.0016063121,0.00064048026,0.00024853583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023814998,0.0001445274,0.7686283,0.00045761288,0.0013602371,0.00018095996,0.00084092346,0.05401934,0.005653662,0.006195852,0.004221233,0.15805921],"study_design_scores_gemma":[0.000047292247,0.000177523,0.8636762,0.00018426335,0.0004841952,0.00019183889,0.00079229596,0.09900572,0.007470759,0.010210313,0.017656963,0.00010275792],"about_ca_topic_score_codex":0.009388128,"about_ca_topic_score_gemma":0.01365218,"teacher_disagreement_score":0.010294173,"about_ca_system_score_codex":0.00061601936,"about_ca_system_score_gemma":0.0007616425,"threshold_uncertainty_score":0.054441392},"labels":[],"label_agreement":null},{"id":"W4408396696","doi":"10.1016/j.fishres.2025.107325","title":"500 years of the once largest fishery in the world: A comprehensive catch reconstruction for the Newfoundland cod fishery (1508–2023)","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Horizon 2020; European Commission; University of Victoria; Pew Charitable Trusts; European Research Council; Horizon 2020 Framework Programme","keywords":"Fishery; Oceanography; Geography; Environmental science; Biology; Geology","score_opus":0.052800210061489244,"score_gpt":0.3351386249513333,"score_spread":0.282338414889844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408396696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77639854,0.003567618,0.0025012698,0.002695153,0.00014604039,0.000061564424,0.20124017,0.00022659489,0.013163036],"genre_scores_gemma":[0.75316864,0.003727338,0.0072945734,0.0005275138,0.000069109024,0.00008589781,0.22400351,0.00014372916,0.010979716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978894,0.000010323083,0.000015502681,0.000039543822,0.00006211187,0.00008363495],"domain_scores_gemma":[0.99903107,0.00004774815,0.0001790104,0.00009084896,0.00051493006,0.00013644199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004684408,0.0003845501,0.0002121696,0.0023972646,0.0007983331,0.0009986055,0.00042766464,0.00036448563,0.0019071982],"category_scores_gemma":[0.0010784807,0.00022194884,0.0004512945,0.0031214857,0.00033468995,0.0006186046,0.0008631085,0.00065927114,0.00071208394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001932771,0.00009679596,0.75706315,0.00035787513,0.00036077658,0.0015069449,0.0016126398,0.010515733,0.0016779277,0.0018655728,0.14012608,0.08462318],"study_design_scores_gemma":[0.000007059316,0.00001684088,0.9238121,0.00026641187,0.00005110164,0.00021552194,0.0016627338,0.0026683055,0.00047077463,0.00026631792,0.07051937,0.000043530876],"about_ca_topic_score_codex":0.88906235,"about_ca_topic_score_gemma":0.9467167,"teacher_disagreement_score":0.110937655,"about_ca_system_score_codex":0.0053031547,"about_ca_system_score_gemma":0.005662689,"threshold_uncertainty_score":0.2231819},"labels":[],"label_agreement":null},{"id":"W4408735257","doi":"10.1016/j.fishres.2025.107326","title":"Using highest density intervals can reduce perceived uncertainty in stock assessments","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria; Fisheries and Oceans Canada","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Statistics; Stock (firearms); Mathematics; Environmental science; Animal science; Econometrics; Geography; Biology","score_opus":0.5594692426871877,"score_gpt":0.5797123678323172,"score_spread":0.020243125145129492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408735257","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035405297,0.0018052189,0.9467941,0.0010268465,0.00027195792,0.0001424211,0.0025585424,0.004697757,0.0072978563],"genre_scores_gemma":[0.3786893,0.0010751358,0.6136597,0.00046711593,0.00024523487,0.00039975924,0.003244651,0.0010855821,0.0011335448],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9873332,0.0076978537,0.0010125516,0.0014977634,0.0021014456,0.0003572241],"domain_scores_gemma":[0.8483261,0.13109054,0.0072462005,0.006965566,0.0056260168,0.00074563426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021958737,0.0013172519,0.0014381291,0.0043715914,0.0008737414,0.0042376397,0.0022892654,0.0015653089,0.0077824728],"category_scores_gemma":[0.19918977,0.0007288147,0.0017380907,0.0035949703,0.00081374764,0.0048642354,0.0029288116,0.0030756297,0.001600923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089870277,0.00019579973,0.046767443,0.0012713495,0.0008272175,0.00039316685,0.0018172292,0.24981187,0.0021932852,0.054687943,0.024495589,0.6166404],"study_design_scores_gemma":[0.00018615904,0.00025590154,0.013998616,0.001002404,0.00043275632,0.0004562469,0.0006947003,0.7206199,0.007564948,0.22272491,0.031657733,0.00040576383],"about_ca_topic_score_codex":0.005626323,"about_ca_topic_score_gemma":0.005344726,"teacher_disagreement_score":0.021958737,"about_ca_system_score_codex":0.00093950063,"about_ca_system_score_gemma":0.0014661896,"threshold_uncertainty_score":0.11613029},"labels":[],"label_agreement":null},{"id":"W4409185368","doi":"10.1016/j.fishres.2025.107331","title":"Exploring the use of Fourier transform near infrared spectroscopy for aging Newfoundland and Labrador Atlantic cod (Gadus morhua)","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bruker (Canada); Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Gadus; Atlantic cod; Oceanography; Fishery; Fourier transform infrared spectroscopy; Environmental science; Geology; Geography; Fish ; Biology; Physics; Optics","score_opus":0.1567271208533106,"score_gpt":0.32844116747406815,"score_spread":0.17171404662075757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409185368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99603736,0.00026288274,0.0028293503,0.00006523897,0.000005487109,0.0000121704325,0.00018801002,0.00002433375,0.00057511043],"genre_scores_gemma":[0.99110353,0.00040490442,0.0073045483,0.000051520106,0.000004436483,0.000014980441,0.0002710013,0.000014191044,0.0008308562],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969673,0.000058018897,0.000015796799,0.00010057469,0.000080872545,0.00004793688],"domain_scores_gemma":[0.9993253,0.00015711937,0.00018738667,0.000053136857,0.00023997403,0.000037128277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013946255,0.0007367501,0.00027469787,0.00047966905,0.0003266534,0.00068026484,0.0005210447,0.00032186677,0.00040299623],"category_scores_gemma":[0.0017071904,0.00019637654,0.00042864113,0.00035036594,0.00025806105,0.0006099981,0.00035175888,0.00020972587,0.00014152048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007279488,0.00033163087,0.7523336,0.00018312685,0.00034494614,0.00032569235,0.0006322089,0.031830035,0.06659841,0.00028144018,0.0007067792,0.14570421],"study_design_scores_gemma":[0.000012013429,0.0007534371,0.92302805,0.000043497254,0.00026467003,0.00017919454,0.00058216025,0.05457109,0.018136777,0.00015575389,0.0022233212,0.000050016828],"about_ca_topic_score_codex":0.1761456,"about_ca_topic_score_gemma":0.39711988,"teacher_disagreement_score":0.8238544,"about_ca_system_score_codex":0.0021264318,"about_ca_system_score_gemma":0.0013759414,"threshold_uncertainty_score":0.35024065},"labels":[],"label_agreement":null},{"id":"W4409597611","doi":"10.1016/j.fishres.2025.107383","title":"Improving the Nordmøre-grid system with an aft open top panel bycatch reduction device for juvenile redfish exclusion in shrimp trawls","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bycatch; Shrimp; Fishery; Juvenile; Environmental science; Reduction (mathematics); Fish ; Oceanography; Biology; Geology; Ecology; Mathematics","score_opus":0.0722909803273822,"score_gpt":0.341089743314567,"score_spread":0.2687987629871848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409597611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746884,0.00024478455,0.021465858,0.00010619069,0.00009236509,0.00023382403,0.00028810863,0.00025986403,0.0026205347],"genre_scores_gemma":[0.9407842,0.00026109646,0.053952914,0.0001726228,0.000016779246,0.00024418446,0.0003155648,0.000036487218,0.00421605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957925,0.00005829759,0.000029452354,0.00009068088,0.00017257956,0.00006974161],"domain_scores_gemma":[0.99968934,0.00004794823,0.00007703899,0.000036202095,0.00009818916,0.000051295152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042005716,0.0005511128,0.00028427932,0.00035385985,0.00036816488,0.00040257367,0.0008109184,0.00040409705,0.0021192217],"category_scores_gemma":[0.0007045413,0.00017743847,0.00047806161,0.00014499933,0.0002002707,0.00046844862,0.00072555244,0.0003090179,0.0004701817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013992587,0.0012613263,0.056077834,0.00077325344,0.000103073326,0.00054208835,0.0005498678,0.004529821,0.72742325,0.00025035776,0.0016849558,0.20540482],"study_design_scores_gemma":[0.0004775143,0.019011175,0.6040246,0.00038199176,0.00072861137,0.0017560489,0.0016608068,0.050744154,0.28956252,0.00020920933,0.031136626,0.00030679806],"about_ca_topic_score_codex":0.010007673,"about_ca_topic_score_gemma":0.027441068,"teacher_disagreement_score":0.010007673,"about_ca_system_score_codex":0.00037102535,"about_ca_system_score_gemma":0.00069426943,"threshold_uncertainty_score":0.019898832},"labels":[],"label_agreement":null},{"id":"W4410105663","doi":"10.1016/j.fishres.2025.107387","title":"Site-specific post-release predation of bonefish (Albula glossodonta) in a catch-and-release recreational fishery: informing voluntary actions and management strategies for a Blue Economy","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Institute of Food and Agriculture; Massachusetts Agricultural Experiment Station; New York State Department of Environmental Conservation; U.S. Department of Agriculture","keywords":"Catch and release; Fishery; Predation; Recreational fishing; Turnover; Recreation; Fisheries management; Ecology; Economics; Biology; Fishing","score_opus":0.031852252327154974,"score_gpt":0.2963480865356388,"score_spread":0.2644958342084838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410105663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9999181,0.0000037818972,0.000006014476,0.0000056684926,3.7296877e-7,7.9264703e-7,0.000010060794,3.3788302e-7,0.000054786855],"genre_scores_gemma":[0.9997663,0.0000092101145,0.000029502959,0.000008313458,5.4512435e-7,0.00000217644,0.000029553705,5.2012757e-7,0.00015378807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998529,0.000043238433,0.000008819324,0.000026467573,0.000024699706,0.00004387003],"domain_scores_gemma":[0.9992387,0.00013968586,0.00027032214,0.00004356907,0.000080128295,0.00022760256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042733477,0.00015871171,0.00014258949,0.00029039607,0.00041027885,0.0003549356,0.00028618044,0.00035495573,0.0010117312],"category_scores_gemma":[0.0011355008,0.0001580055,0.00017744287,0.00018525682,0.0004127096,0.00026046642,0.0004750168,0.00030162602,0.00012805311],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013891741,0.00009818184,0.9972439,0.0000035040796,0.000024898134,0.00010629036,0.0002655938,0.00004880312,0.0009673931,0.000010319829,0.000054240092,0.0010380953],"study_design_scores_gemma":[9.642182e-7,0.000048461887,0.99943906,7.684779e-7,0.0000041258063,0.000026729655,0.00035874647,0.00007682816,0.000028502536,0.0000032861121,0.000011534729,9.3015365e-7],"about_ca_topic_score_codex":0.029544968,"about_ca_topic_score_gemma":0.14396384,"teacher_disagreement_score":0.029544968,"about_ca_system_score_codex":0.00051177817,"about_ca_system_score_gemma":0.00031067448,"threshold_uncertainty_score":0.05874604},"labels":[],"label_agreement":null},{"id":"W4410207623","doi":"10.1016/j.fishres.2025.107396","title":"Early life-stage and adult productivity dynamics derived from a state-space stock assessment model for data-limited Thorny Skates (Amblyraja radiata Donovan, 1808) in NAFO Divisions 3LNO and Subdivision 3Ps","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute","keywords":"Subdivision; Radiata; Stock (firearms); Productivity; Computer science; Economics; Geography; Biology; Archaeology; Botany","score_opus":0.06556572609983848,"score_gpt":0.35255832215798383,"score_spread":0.28699259605814537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410207623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98461586,0.000058864105,0.01213357,0.00017709481,0.0000086270065,0.000037631264,0.0008436466,0.00005228885,0.0020724817],"genre_scores_gemma":[0.9955646,0.000045120094,0.0019344536,0.000021083668,0.000003312654,0.000051526153,0.00044961376,0.000008593321,0.0019218246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998586,0.00004610373,0.000011200365,0.000037894108,0.000014325828,0.000031803007],"domain_scores_gemma":[0.99892575,0.0005989768,0.00022250654,0.000032014963,0.00014283424,0.00007785949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010351997,0.0005151446,0.00037837034,0.0005418703,0.0004318727,0.0010194397,0.00088287593,0.0008961717,0.0022182094],"category_scores_gemma":[0.0022967642,0.00052553375,0.00072145485,0.00038133972,0.0003805738,0.000753364,0.00048019606,0.00066037284,0.0003200294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000454479,0.000040125193,0.016945407,0.000008341393,0.000024058074,0.000046210953,0.000038854192,0.98050344,0.00022629034,0.000768638,0.00014539208,0.0012076952],"study_design_scores_gemma":[0.000007171145,0.000020146526,0.002664062,0.0000036507986,0.000011980078,0.000006771314,0.000016096299,0.99692106,0.0000446689,0.00024177507,0.000057334124,0.0000052432],"about_ca_topic_score_codex":0.08610019,"about_ca_topic_score_gemma":0.07114516,"teacher_disagreement_score":0.08610019,"about_ca_system_score_codex":0.0019654376,"about_ca_system_score_gemma":0.0010206379,"threshold_uncertainty_score":0.17119807},"labels":[],"label_agreement":null},{"id":"W4410330209","doi":"10.1016/j.fishres.2025.107388","title":"Broadband acoustic classification of Atlantic cod, polar cod, and northern shrimp in in situ mesocosm experiments","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Norges Forskningsråd; ArcticNet; Crown-Indigenous Relations and Northern Affairs Canada; ConocoPhillips","keywords":"Mesocosm; Shrimp; Oceanography; In situ; Fishery; Environmental science; Polar; Geography; Biology; Geology; Ecology; Meteorology; Nutrient","score_opus":0.04511914850106901,"score_gpt":0.33586171827332084,"score_spread":0.2907425697722518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410330209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977488,0.00001422564,0.0018795718,0.000007917671,0.0000065978447,0.000020928432,0.000115745934,0.000017821625,0.00018836038],"genre_scores_gemma":[0.99250084,0.000043006745,0.0062999194,0.000041864714,0.000004957796,0.000092811155,0.00038966944,0.00000947474,0.0006174634],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99973303,0.000023948369,0.00002016824,0.00014363034,0.000055681732,0.000023532493],"domain_scores_gemma":[0.9996699,0.000064043816,0.000046781064,0.000040376057,0.00012269159,0.00005608933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004963869,0.00036301013,0.00043949907,0.00038087778,0.00035221758,0.00026049372,0.0002239709,0.00036506794,0.00028763348],"category_scores_gemma":[0.00045327187,0.00011664629,0.00022170518,0.00025847298,0.00021856045,0.00021656306,0.00032592268,0.00035949153,0.00017233084],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055285875,0.00034487172,0.1256114,0.00004557463,0.000049396636,0.00010752352,0.00029119194,0.0035426838,0.8530532,0.000043815697,0.0001683497,0.016189035],"study_design_scores_gemma":[0.000050902756,0.0018975034,0.68002236,0.000016899154,0.000097721226,0.0001274745,0.0006329069,0.06421713,0.25199857,0.00012559278,0.0007677556,0.000045266857],"about_ca_topic_score_codex":0.00415124,"about_ca_topic_score_gemma":0.011479224,"teacher_disagreement_score":0.00415124,"about_ca_system_score_codex":0.00027735002,"about_ca_system_score_gemma":0.00018711161,"threshold_uncertainty_score":0.008254111},"labels":[],"label_agreement":null},{"id":"W4410620686","doi":"10.1016/j.fishres.2025.107402","title":"Using accurate insonification volumes to estimate fish abundance from acoustic survey data","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Abundance (ecology); Fish ; Environmental science; Statistics; Fishery; Mathematics; Biology","score_opus":0.24215721375472485,"score_gpt":0.44867589299312005,"score_spread":0.2065186792383952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410620686","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16948804,0.00015451749,0.82809246,0.000056332105,0.000021412394,0.00006560639,0.0004263613,0.0007748971,0.00092035445],"genre_scores_gemma":[0.7217823,0.00025527147,0.27586278,0.000029965622,0.000008271481,0.00016618453,0.0010236804,0.0001747167,0.00069683034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876106,0.0003303254,0.000096771095,0.00020941705,0.00051932764,0.000083075276],"domain_scores_gemma":[0.99740773,0.0011832749,0.0003804331,0.00040956933,0.0005782715,0.000040590192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001913425,0.00095916184,0.00043947686,0.0010947984,0.0003927484,0.0012978863,0.0013040365,0.00048089848,0.00043825796],"category_scores_gemma":[0.009776658,0.0005605967,0.0003920397,0.0010722562,0.0005599623,0.002223975,0.0009061141,0.0005908884,0.000269304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007763998,0.000049913095,0.12139286,0.00013966496,0.000119000695,0.00005726026,0.0004704704,0.71971446,0.015538262,0.0027762442,0.00060885283,0.13905539],"study_design_scores_gemma":[0.00000575687,0.000030889434,0.03348141,0.000025156176,0.000032551,0.000040158837,0.00011906571,0.9494848,0.013467821,0.0016610916,0.001594822,0.00005656416],"about_ca_topic_score_codex":0.06810293,"about_ca_topic_score_gemma":0.118643016,"teacher_disagreement_score":0.06810293,"about_ca_system_score_codex":0.0016631854,"about_ca_system_score_gemma":0.0017493106,"threshold_uncertainty_score":0.13541305},"labels":[],"label_agreement":null},{"id":"W4410827946","doi":"10.1016/j.fishres.2025.107418","title":"Tracking the marine migrations of coho salmon through otolith microchemistry","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria; Asia Pacific Foundation of Canada; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Liber Ero Foundation; Mitacs; University of Victoria","keywords":"Otolith; Microchemistry; Fishery; Oceanography; Tracking (education); Environmental science; Fish ; Biology; Geology; Chemistry","score_opus":0.04457492369526306,"score_gpt":0.33768971050530827,"score_spread":0.2931147868100452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410827946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989994,0.00005399326,0.0003248109,0.000012162689,0.000004325427,0.0000036180645,0.0001180684,0.000009475728,0.0004742301],"genre_scores_gemma":[0.99739265,0.000102371356,0.0012023263,0.000020664056,0.000005384879,0.0000056248,0.00022297057,0.0000058685673,0.0010421473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993587,0.0000069665593,0.0000019993363,0.00002384724,0.000018012415,0.000013246319],"domain_scores_gemma":[0.99970204,0.000045258457,0.00008015886,0.000013238877,0.00011416136,0.000045016455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017279039,0.00013663643,0.00010928409,0.0003960106,0.00028328208,0.0003453951,0.00016361878,0.00021586503,0.0006518308],"category_scores_gemma":[0.0004558472,0.00013598758,0.000070704504,0.000392939,0.000119814315,0.00024192056,0.00018676689,0.00021958689,0.00018421248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013567031,0.000042112555,0.9192135,0.000015613405,0.000040075807,0.00001548193,0.00019868246,0.00021232416,0.059909433,0.000030953335,0.00022697306,0.01995924],"study_design_scores_gemma":[0.000005208851,0.00010233426,0.9909492,0.000003840018,0.000022883147,0.000037703616,0.00019366475,0.0014087349,0.006957127,0.000016965527,0.00029675997,0.000005645877],"about_ca_topic_score_codex":0.03558891,"about_ca_topic_score_gemma":0.122785196,"teacher_disagreement_score":0.03558891,"about_ca_system_score_codex":0.00030582646,"about_ca_system_score_gemma":0.00033759026,"threshold_uncertainty_score":0.07076353},"labels":[],"label_agreement":null},{"id":"W4411264176","doi":"10.1016/j.fishres.2025.107439","title":"Letter to the Editor re: Abass et al. (2024): “The mahseer: The tiger of water-an angler's delight in the Himalayas and the undisputed king of sport fishing” [Fisheries Research 279, 107147]","year":2025,"lang":"en","type":"letter","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fishery; Tiger; Fishing; Geography; Biology; Computer science","score_opus":0.04260934574777658,"score_gpt":0.31575245098924054,"score_spread":0.27314310524146396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411264176","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019606783,0.0011215082,0.000036915313,0.94954294,0.04646104,0.000014483818,0.00009305191,0.00003357955,0.0025003273],"genre_scores_gemma":[0.0011845597,0.0005070535,0.00006073624,0.9562747,0.0318513,0.000029763152,0.000030677467,0.000020559495,0.010040737],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99779,0.00047373638,0.00029666876,0.00036466614,0.0007243036,0.00035069554],"domain_scores_gemma":[0.9926601,0.0029614572,0.0005249033,0.00020211442,0.002015294,0.0016360428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037061207,0.0010307692,0.0016861133,0.0010425796,0.004971905,0.004936479,0.0023161639,0.0496565,0.01426673],"category_scores_gemma":[0.020502588,0.0011723852,0.0012672426,0.00096200494,0.0021431015,0.0043087634,0.0016047827,0.039494675,0.014457613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016959815,0.000008982798,0.00015212157,0.000016182503,0.000003284109,0.00019709211,0.000037887403,0.000008460807,0.000022095797,0.00021800365,0.9977054,0.0016135534],"study_design_scores_gemma":[0.00007380023,0.000033959128,0.0013173898,0.00024644032,0.000019248084,0.0006636759,0.00047803673,0.0001526922,0.00010336065,0.002507312,0.99435127,0.00005279383],"about_ca_topic_score_codex":0.014374611,"about_ca_topic_score_gemma":0.028896995,"teacher_disagreement_score":0.0496565,"about_ca_system_score_codex":0.0038874925,"about_ca_system_score_gemma":0.008802505,"threshold_uncertainty_score":0.04772699},"labels":[],"label_agreement":null},{"id":"W4411439240","doi":"10.1016/j.fishres.2025.107440","title":"Climate stressors, food security, and participation decisions among women in seafood production systems","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"International Development Research Centre","keywords":"Food security; Production (economics); Stressor; Business; Natural resource economics; Food processing; Environmental science; Environmental resource management; Fishery; Food science; Psychology; Economics; Ecology; Biology","score_opus":0.0568739862250075,"score_gpt":0.32666750492555113,"score_spread":0.26979351870054363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411439240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999313,0.000065500295,0.000026283016,0.0001553717,0.0000029651442,0.0000049294354,0.000018241097,3.1776528e-7,0.0004133227],"genre_scores_gemma":[0.999443,0.00011791384,0.00004593963,0.00007920159,0.000002297643,0.000010047462,0.000031156666,5.7465076e-7,0.00026988325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955004,0.00019401316,0.00001739661,0.000043555716,0.000032879838,0.00016206912],"domain_scores_gemma":[0.9992888,0.00023610148,0.00016290543,0.00002341472,0.000039064806,0.0002496439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000997722,0.0002568984,0.00023802099,0.0004401013,0.0014131792,0.0013312681,0.00028377268,0.00046813392,0.0021466212],"category_scores_gemma":[0.002244731,0.0003456881,0.00021947533,0.0006038567,0.00073987007,0.00074679224,0.0015885223,0.0007154912,0.00019469688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007150881,0.00013828356,0.9625611,0.000025660738,0.000030212044,0.00039114148,0.028942749,0.00006831557,0.00037976285,0.00021973223,0.0002567578,0.006914769],"study_design_scores_gemma":[0.000006842371,0.00014284525,0.84897375,0.00007051743,0.000016394315,0.00017250174,0.14862598,0.0003074648,0.00007558564,0.00022724956,0.0013676145,0.00001328844],"about_ca_topic_score_codex":0.021128668,"about_ca_topic_score_gemma":0.05158715,"teacher_disagreement_score":0.021128668,"about_ca_system_score_codex":0.0005634924,"about_ca_system_score_gemma":0.00075221225,"threshold_uncertainty_score":0.04201132},"labels":[],"label_agreement":null},{"id":"W4412025326","doi":"10.1016/j.fishres.2025.107459","title":"Effects of capture and handling on striped bass (Morone saxatilis) in the recreational fishery of coastal Massachusetts","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"University of Massachusetts Amherst; Woods Hole Sea Grant, Woods Hole Oceanographic Institution","keywords":"Morone saxatilis; Bass (fish); Fishery; Recreational fishing; Morone; Recreation; Geography; Environmental science; Fish ; Biology; Ecology","score_opus":0.0190797651090341,"score_gpt":0.28610407321922365,"score_spread":0.26702430811018957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412025326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99987996,0.000020553418,0.000011111734,0.000004910867,8.3192697e-7,0.000001831983,0.00001872549,7.282678e-7,0.000061443156],"genre_scores_gemma":[0.99936265,0.00005909665,0.000062141844,0.000018889505,0.0000019512825,0.0000070508495,0.00008711525,9.3769467e-7,0.00040011015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998325,0.000025117557,0.000013034446,0.000046390483,0.000044897897,0.0000379831],"domain_scores_gemma":[0.9995914,0.000058231504,0.00016400259,0.00002644201,0.00006125087,0.00009867234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017033287,0.0002403936,0.00018512123,0.00022890484,0.00034417954,0.00036156524,0.00014286098,0.00022684754,0.0008268483],"category_scores_gemma":[0.0005196495,0.00014275723,0.0002715222,0.00013672323,0.00026910866,0.00015128813,0.00041491413,0.000283385,0.00013446565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097380293,0.0002783266,0.9259987,0.000047412614,0.00011939153,0.000395897,0.0013404862,0.00016426502,0.063875146,0.000012284924,0.00010680165,0.0066875573],"study_design_scores_gemma":[0.0000010240776,0.0003003483,0.9990681,0.0000016516406,0.000007952599,0.00001389044,0.00022831715,0.000022844837,0.0003221634,0.00000146702,0.000031016396,0.0000013237683],"about_ca_topic_score_codex":0.023619479,"about_ca_topic_score_gemma":0.1085174,"teacher_disagreement_score":0.023619479,"about_ca_system_score_codex":0.00053619104,"about_ca_system_score_gemma":0.0002545723,"threshold_uncertainty_score":0.04696399},"labels":[],"label_agreement":null},{"id":"W4412455533","doi":"10.1016/j.fishres.2025.107466","title":"Comment on Hayes et al. (2025): 500 years of the once largest fishery in the world: A comprehensive catch reconstruction for the Newfoundland cod fishery (1508–2023)","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishery; Oceanography; Environmental science; Geography; Biology; Geology","score_opus":0.13459637918828807,"score_gpt":0.46229866244002965,"score_spread":0.32770228325174156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412455533","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00064942386,0.0012240876,0.00009761027,0.97123903,0.024369659,0.00001838466,0.0005455414,0.000050593437,0.0018056945],"genre_scores_gemma":[0.0020524377,0.00047030995,0.00011135374,0.98424476,0.009364919,0.000030472014,0.00007271455,0.000019536395,0.00363339],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995424,0.0006068419,0.00059593085,0.0008248682,0.0016706984,0.0008777546],"domain_scores_gemma":[0.97674006,0.009872908,0.001824739,0.0006997211,0.0069424505,0.0039200727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007629379,0.0010529241,0.0014240281,0.0013279748,0.005866337,0.004350849,0.00423568,0.04711903,0.00980602],"category_scores_gemma":[0.032951713,0.0012180872,0.0016554884,0.002442212,0.004644261,0.0049834754,0.0027383193,0.05137712,0.008730482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037463422,0.000009352743,0.00042438466,0.000035012752,0.000008457666,0.00007397003,0.0001571235,0.000021702168,0.000054465883,0.00053149415,0.99682164,0.0018249206],"study_design_scores_gemma":[0.00010936494,0.00007925003,0.0093588745,0.0007309585,0.00007417836,0.00041809195,0.0025704023,0.00025116626,0.000588383,0.0038280205,0.98179513,0.00019620052],"about_ca_topic_score_codex":0.19398624,"about_ca_topic_score_gemma":0.27264878,"teacher_disagreement_score":0.80601376,"about_ca_system_score_codex":0.0057309666,"about_ca_system_score_gemma":0.014438649,"threshold_uncertainty_score":0.38571423},"labels":[],"label_agreement":null},{"id":"W4412455538","doi":"10.1016/j.fishres.2025.107471","title":"Recruitment, growth, and exploitation as determinants of brook trout size structure in natural lakes","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"University of New Brunswick","keywords":"Trout; Fishery; Ecology; Natural (archaeology); Geography; Fish ; Biology","score_opus":0.04230095466182397,"score_gpt":0.34158525933222644,"score_spread":0.29928430467040246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412455538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998388,0.000020225947,0.000024028026,0.000010437382,5.139493e-7,7.3755325e-7,0.0000133772455,7.055006e-7,0.000091182665],"genre_scores_gemma":[0.99975985,0.000010521071,0.00004014103,0.000005570614,0.0000017117079,0.0000026644166,0.00002469206,0.0000010813598,0.00015383285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995468,0.00022222317,0.000031607346,0.00006159531,0.000057911035,0.00007984813],"domain_scores_gemma":[0.9947535,0.0028053129,0.0010150451,0.00015673293,0.00022816495,0.001041265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016479864,0.00014376688,0.00016668583,0.00050461123,0.0003838291,0.00050622923,0.0003538241,0.00041837632,0.0009901418],"category_scores_gemma":[0.005872811,0.00026842015,0.00026287767,0.00034955156,0.0009390694,0.00058447744,0.0006138459,0.00034325352,0.00012529724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016884248,0.000040916813,0.99810505,0.0000025671945,0.000021214672,0.000027504877,0.00015579663,0.00017072573,0.00047116572,0.000042778458,0.00002846775,0.0007650747],"study_design_scores_gemma":[0.0000021419273,0.000020808666,0.9992773,6.295519e-7,0.000004470883,0.000017908227,0.0001300161,0.0004796395,0.00002399546,0.000030619707,0.000011165802,0.0000013756842],"about_ca_topic_score_codex":0.014218162,"about_ca_topic_score_gemma":0.060054332,"teacher_disagreement_score":0.014218162,"about_ca_system_score_codex":0.00051992346,"about_ca_system_score_gemma":0.0007453848,"threshold_uncertainty_score":0.028270781},"labels":[],"label_agreement":null},{"id":"W4412455562","doi":"10.1016/j.fishres.2025.107465","title":"Diet and stable isotope signatures of Atlantic sturgeon (Acipenser oxyrinchus) caught in Minas Basin, Bay of Fundy, and the Saint John River, Canada","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Junta de Andalucía; Seventh Framework Programme; Canada Research Chairs","keywords":"Bay; Fishery; Acipenser; Sturgeon; Structural basin; Oceanography; SAINT; Fish ; Geology; Biology; Geomorphology","score_opus":0.011341287443738721,"score_gpt":0.25377723431280125,"score_spread":0.24243594686906253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412455562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99973804,0.000019142753,0.0000073954784,0.0000031997984,4.8564715e-7,0.0000012057426,0.00011285575,0.0000010431041,0.00011664434],"genre_scores_gemma":[0.99915683,0.0000391147,0.00008992886,0.0000091989805,9.663962e-7,0.0000037276036,0.00030768765,0.0000010338209,0.0003915135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999368,0.0000038632893,0.0000062645518,0.000017803906,0.000018300449,0.000016794878],"domain_scores_gemma":[0.9997596,0.000013592273,0.00007900154,0.0000069608363,0.00007974731,0.000061033745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012787545,0.00017525694,0.00017046645,0.0010251816,0.0006099676,0.0003143861,0.00019766731,0.00016026362,0.0006756123],"category_scores_gemma":[0.00026915074,0.00014942976,0.000158881,0.0007146118,0.0002916897,0.00015582984,0.0002348889,0.000107231914,0.00010022845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011378849,0.000017039056,0.98672885,0.000013474247,0.00003606081,0.000108561064,0.0006252241,0.00005594473,0.009378598,0.0000214851,0.00009943918,0.0028016844],"study_design_scores_gemma":[6.1819395e-7,0.0000117972795,0.9996486,9.587054e-7,0.0000036566348,0.000021106232,0.00014984404,0.00002821101,0.00008544755,9.881603e-7,0.00004802746,8.3546126e-7],"about_ca_topic_score_codex":0.43902764,"about_ca_topic_score_gemma":0.79385316,"teacher_disagreement_score":0.56097233,"about_ca_system_score_codex":0.0014270582,"about_ca_system_score_gemma":0.0006280258,"threshold_uncertainty_score":0.8729444},"labels":[],"label_agreement":null},{"id":"W4412455585","doi":"10.1016/j.fishres.2025.107457","title":"Factors affecting short-term post-release survival probability of Lake Trout implanted with acoustic telemetry transmitters","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Fisheries and Oceans Canada; Ministry of Natural Resources and Forestry","funders":"U.S. Environmental Protection Agency","keywords":"Telemetry; Trout; Term (time); Environmental science; Fishery; Oceanography; Salmonidae; Fish ; Biology; Geology; Telecommunications; Rainbow trout; Physics; Computer science","score_opus":0.04187675685567699,"score_gpt":0.3019323420239862,"score_spread":0.26005558516830923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412455585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997328,0.000024407711,0.00008184643,0.000004681385,8.0241716e-7,0.0000019159484,0.000067502544,0.0000018118517,0.00008419941],"genre_scores_gemma":[0.99948287,0.000019380512,0.00006707304,0.0000035994776,0.0000011903463,0.000004968207,0.00016483934,0.0000015981027,0.00025447633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997832,0.000027003243,0.00002287545,0.000056317283,0.00006370359,0.00004679221],"domain_scores_gemma":[0.9987197,0.0002798468,0.000629318,0.00005349728,0.00016491087,0.00015276363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004634121,0.00017043653,0.00013265481,0.00028752547,0.00025544493,0.00035717437,0.00018669585,0.00016158448,0.00082445826],"category_scores_gemma":[0.0013348731,0.0001418861,0.00033130232,0.00027869816,0.00030499866,0.0002970712,0.0002268644,0.00021857735,0.00018184968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025725333,0.000022177352,0.99290836,0.0000054023108,0.000021499496,0.000055593937,0.00017858954,0.00013653855,0.0053257076,0.0000075605476,0.000024351948,0.0010569356],"study_design_scores_gemma":[8.6355334e-7,0.00008927133,0.99942374,7.9528695e-7,0.0000068989825,0.000022100503,0.0000590682,0.00013730652,0.00022829106,0.0000031352174,0.000026760565,0.0000017070577],"about_ca_topic_score_codex":0.02255713,"about_ca_topic_score_gemma":0.054528225,"teacher_disagreement_score":0.02255713,"about_ca_system_score_codex":0.0006065817,"about_ca_system_score_gemma":0.0003817016,"threshold_uncertainty_score":0.04485166},"labels":[],"label_agreement":null},{"id":"W4412531972","doi":"10.1016/j.fishres.2025.107477","title":"Response to: Reassessing the drivers of capelin recruitment in Newfoundland since 1991.","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Capelin; Fishery; Geography; Biology; Fish ","score_opus":0.08213508675768441,"score_gpt":0.38473005087438944,"score_spread":0.30259496411670506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412531972","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5693042,0.007537399,0.00021613242,0.39546064,0.00418884,0.000120402656,0.012586026,0.00007891118,0.01050741],"genre_scores_gemma":[0.8756941,0.0046879603,0.00052809337,0.08248586,0.0019559518,0.00021397871,0.005190839,0.0000528211,0.02919043],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992198,0.0000964955,0.00008354367,0.00012948843,0.00014171469,0.0003290286],"domain_scores_gemma":[0.9934437,0.00075331924,0.001889922,0.00019713507,0.0019272534,0.0017886957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019448772,0.00027574904,0.000240381,0.000776438,0.0015273832,0.0011654584,0.0011407286,0.002438423,0.0065010963],"category_scores_gemma":[0.0071968534,0.0002187994,0.00023494243,0.0010383313,0.000770454,0.0006845213,0.0014105245,0.0018402411,0.00065926206],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004336231,0.000072440045,0.6014881,0.0006341944,0.00012826837,0.0010521401,0.0053943573,0.00028522912,0.0011002857,0.00039615083,0.35572913,0.03328605],"study_design_scores_gemma":[0.000011995281,0.000039467857,0.9543671,0.0002752405,0.000027369628,0.00014185865,0.005993724,0.00011309742,0.00017579393,0.000037229544,0.038794797,0.000022334947],"about_ca_topic_score_codex":0.6895049,"about_ca_topic_score_gemma":0.8786601,"teacher_disagreement_score":0.31049508,"about_ca_system_score_codex":0.007106868,"about_ca_system_score_gemma":0.011254962,"threshold_uncertainty_score":0.62464726},"labels":[],"label_agreement":null},{"id":"W4412862257","doi":"10.1016/j.fishres.2025.107480","title":"Release mortality in Pacific salmon fisheries along the homing migration and recommended best practices to maximize welfare and survival","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Fisheries and Oceans Canada; Carleton University; University of British Columbia","funders":"","keywords":"Homing (biology); Fishery; Welfare; Pacific ocean; Oceanography; Geography; Environmental science; Economics; Biology; Ecology; Geology","score_opus":0.08040922536691233,"score_gpt":0.34861514701328183,"score_spread":0.26820592164636947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412862257","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048102826,0.9024579,0.0055656102,0.018630823,0.0014799698,0.00031379776,0.0035958982,0.00026213235,0.019591117],"genre_scores_gemma":[0.12602203,0.84949994,0.015079177,0.0029960782,0.0005055646,0.00043200585,0.0019200352,0.00003448369,0.0035107012],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99869317,0.00032477576,0.00034044613,0.00009885161,0.00047792832,0.00006480423],"domain_scores_gemma":[0.99791414,0.0004184939,0.00078776677,0.000059963608,0.0007286027,0.00009099533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031358432,0.000581249,0.0005400265,0.0014119161,0.00036598826,0.0008086744,0.0009971837,0.0005516904,0.0013745321],"category_scores_gemma":[0.0048901276,0.00016512873,0.00062247313,0.0010440004,0.00036984307,0.00061007024,0.0005240741,0.00081850507,0.00036665823],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016654264,0.00012583556,0.02760321,0.021107746,0.0005447142,0.00021993316,0.00057594525,0.0012560177,0.0014709122,0.001423188,0.029797576,0.9157083],"study_design_scores_gemma":[0.00012866165,0.00122111,0.35687056,0.08800686,0.0027830636,0.0013861932,0.00281413,0.0021187053,0.003601454,0.0035008118,0.53738767,0.0001807836],"about_ca_topic_score_codex":0.028833883,"about_ca_topic_score_gemma":0.068095244,"teacher_disagreement_score":0.028833883,"about_ca_system_score_codex":0.0010019047,"about_ca_system_score_gemma":0.0032724878,"threshold_uncertainty_score":0.0573321},"labels":[],"label_agreement":null},{"id":"W4413142833","doi":"10.1016/j.fishres.2025.107476","title":"Seasonal and sex-based variations in energy use in wild plaice: Differences in energetic costs of spawning and feeding behaviours outweigh effects of temperature on field metabolism","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Environment Research Council; University of Southampton; Institute for Clinical Evaluative Sciences","keywords":"Energy metabolism; Fishery; Environmental science; Biology; Reproduction; Energetics; Ecology; Zoology","score_opus":0.018906460517505087,"score_gpt":0.27552921975800765,"score_spread":0.25662275924050254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413142833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993618,0.00006925677,0.000074943506,0.000004540006,6.862239e-7,0.0000024184656,0.00020972335,0.0000032086796,0.00027345362],"genre_scores_gemma":[0.99882215,0.000049343806,0.00019823863,0.00000888443,0.0000021461542,0.000010162044,0.00050519186,0.0000047678627,0.00039906762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999044,0.000014835682,0.000013819398,0.0000383208,0.000009052038,0.00001950095],"domain_scores_gemma":[0.9997305,0.000036075136,0.00013246144,0.000033390526,0.000025926418,0.000041623087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000199994,0.00021467394,0.00018541943,0.0008314541,0.00028055717,0.00040416524,0.00018981168,0.00020896437,0.0019881006],"category_scores_gemma":[0.00038529074,0.00019239106,0.00033489996,0.00035145617,0.00039457166,0.0004149446,0.0003503023,0.00013415278,0.00036170642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021183792,0.00002019463,0.9826993,0.000026703221,0.00006292994,0.00010440724,0.0004006658,0.000055376862,0.0129878195,0.000017225397,0.00004124445,0.0033723614],"study_design_scores_gemma":[4.4900904e-7,0.00002091209,0.999666,0.000001045392,0.0000038418398,0.000055535555,0.00008180928,0.000018130746,0.000112484224,0.0000033869153,0.000035499157,0.0000010201799],"about_ca_topic_score_codex":0.0039221975,"about_ca_topic_score_gemma":0.020017037,"teacher_disagreement_score":0.0039221975,"about_ca_system_score_codex":0.00021796423,"about_ca_system_score_gemma":0.00009528171,"threshold_uncertainty_score":0.0077987313},"labels":[],"label_agreement":null},{"id":"W4413143846","doi":"10.1016/j.fishres.2025.107498","title":"Hidden markov mark-recapture modeling highlights transboundary exchange for northeast pacific sablefish","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Marine Fisheries Service; Fisheries and Oceans Canada; National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Mark and recapture; Fishery; Hidden Markov model; Geography; Markov chain; Oceanography; Computer science; Geology; Biology; Statistics; Artificial intelligence; Mathematics; Demography; Sociology","score_opus":0.03914043218450406,"score_gpt":0.29665277103182697,"score_spread":0.2575123388473229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413143846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9110698,0.0005482116,0.07821405,0.0033887245,0.00010127471,0.000011781996,0.00031649932,0.00027099083,0.006078674],"genre_scores_gemma":[0.99412704,0.00011501375,0.0032099546,0.000092468596,0.000019253088,0.0000032945595,0.00010718221,0.000030333991,0.0022953642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996822,0.00013865292,0.000014101749,0.00009360482,0.000024554934,0.000046997357],"domain_scores_gemma":[0.99728966,0.0020126607,0.0002624152,0.00017267907,0.00015351716,0.00010919509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002176951,0.00033405493,0.00044446532,0.00037140952,0.00062155956,0.0017101568,0.00097562646,0.0010095254,0.003701864],"category_scores_gemma":[0.007184163,0.00039010448,0.00063968083,0.00048924977,0.00064516487,0.0021013843,0.0010843447,0.0011768714,0.00025284977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001726788,0.000039057006,0.044050295,0.0000547583,0.00017555073,0.0002582095,0.0003685016,0.89958215,0.0008748871,0.026623635,0.0023676227,0.025432639],"study_design_scores_gemma":[0.000007267192,0.000011621337,0.006662838,0.000011670394,0.000023274157,0.000023331408,0.00013312821,0.9821561,0.00013517284,0.01027463,0.00054918195,0.000011894921],"about_ca_topic_score_codex":0.0648604,"about_ca_topic_score_gemma":0.06121368,"teacher_disagreement_score":0.0648604,"about_ca_system_score_codex":0.00096613733,"about_ca_system_score_gemma":0.0011575994,"threshold_uncertainty_score":0.12896574},"labels":[],"label_agreement":null},{"id":"W4413247032","doi":"10.1016/j.fishres.2025.107478","title":"Reassessing the drivers of capelin recruitment in Newfoundland since 1991","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Capelin; Fishery; Geography; Biology; Fish ","score_opus":0.1256664578997911,"score_gpt":0.367306517877986,"score_spread":0.2416400599781949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413247032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939673,0.0009746968,0.00006528151,0.0019646336,0.000035719364,0.0000084235535,0.00043657294,0.0000033183996,0.0025440885],"genre_scores_gemma":[0.9964651,0.00037180848,0.00011263055,0.0003432158,0.00001912656,0.000008619733,0.00026600185,0.000004264271,0.0024093029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992569,0.00008870485,0.000062837,0.0001488874,0.00010206303,0.00034054348],"domain_scores_gemma":[0.99503064,0.0008139513,0.0017976841,0.00027597777,0.0013132624,0.0007686041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020904965,0.00013021074,0.00018829068,0.0012784312,0.0016543005,0.0014574906,0.00078244606,0.0006272568,0.0020923603],"category_scores_gemma":[0.0063146697,0.00027075523,0.00019378476,0.0014520184,0.0011423739,0.00089942454,0.00120442,0.000916085,0.00017602868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054470907,0.000014862688,0.98744965,0.000028766004,0.000031266827,0.00014095248,0.0019548174,0.0001287053,0.0003193386,0.0003357547,0.0017546003,0.007786791],"study_design_scores_gemma":[4.2812172e-7,0.0000028402872,0.99755317,0.000012293425,0.0000027705257,0.0000182786,0.0009573066,0.000037459144,0.000018009245,0.000008728874,0.0013868168,0.000001953373],"about_ca_topic_score_codex":0.8151662,"about_ca_topic_score_gemma":0.96095073,"teacher_disagreement_score":0.18483382,"about_ca_system_score_codex":0.0077989525,"about_ca_system_score_gemma":0.0066049322,"threshold_uncertainty_score":0.37184465},"labels":[],"label_agreement":null},{"id":"W4413885125","doi":"10.1016/j.fishres.2025.107516","title":"Use of escape gaps in Barents Sea snow crab (Chionoecetes opilio) fishery: Can it reduce bycatch of undersized crabs?","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Norges Forskningsråd","keywords":"Bycatch; Fishery; Decapoda; Snow; Crustacean; Oceanography; Fish ; Biology; Geology; Geography; Meteorology","score_opus":0.08530667586360005,"score_gpt":0.3423121840406346,"score_spread":0.2570055081770346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413885125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992926,0.00019400391,0.0000565731,0.0000445106,0.000005831609,0.000006180808,0.000021072614,0.0000022825502,0.00037692802],"genre_scores_gemma":[0.9986833,0.00029017593,0.00039429657,0.00005609268,0.0000058669893,0.000013945032,0.00004194358,0.0000010517147,0.00051335414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999001,0.000019187406,0.0000062656177,0.000017778159,0.000027029744,0.000029536584],"domain_scores_gemma":[0.9998128,0.00002730808,0.00007726086,0.0000064994765,0.000023469216,0.00005271693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018032212,0.00019600279,0.00017165582,0.00015662442,0.00024091972,0.00018767551,0.00021047569,0.00026653887,0.0011360608],"category_scores_gemma":[0.00048440817,0.000050234896,0.00019166965,0.00008496031,0.00020594455,0.00033983594,0.00029199105,0.00017697517,0.00010988096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00364564,0.0048728306,0.6121729,0.0014904087,0.00023039088,0.001679721,0.0020235584,0.0022278465,0.10851335,0.00047839,0.001067718,0.26159722],"study_design_scores_gemma":[0.00006448154,0.011839098,0.9710358,0.00020849226,0.00013176406,0.00035529508,0.002726121,0.0011944068,0.00811593,0.0002477513,0.004064204,0.000016804146],"about_ca_topic_score_codex":0.0047831554,"about_ca_topic_score_gemma":0.021487685,"teacher_disagreement_score":0.0047831554,"about_ca_system_score_codex":0.00022540988,"about_ca_system_score_gemma":0.00048549817,"threshold_uncertainty_score":0.009510636},"labels":[],"label_agreement":null},{"id":"W4414100628","doi":"10.1016/j.fishres.2025.107522","title":"Investigation of shell banding in an arcid cockle alongside trace-element concentrations to evaluate potential suitability for age estimation","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"University of Adelaide; Fisheries Research and Development Corporation; Department of Primary Industries","keywords":"Cockle; Population; Ageing; Condition index; Stock assessment; Otolith","score_opus":0.07244386253959609,"score_gpt":0.38074528844240096,"score_spread":0.30830142590280485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414100628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974234,0.00017430342,0.0015808023,0.00001046476,0.0000037436896,0.000011130132,0.00021314208,0.000026966496,0.0005561464],"genre_scores_gemma":[0.99157,0.000095494295,0.0068986206,0.000036577305,0.0000039273523,0.000017227843,0.0002899056,0.000023218307,0.0010650979],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998311,0.000013186564,0.000010540773,0.00008854193,0.00004186507,0.000014883086],"domain_scores_gemma":[0.9995297,0.00007995565,0.0001451631,0.000032148044,0.00016293803,0.00005021734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024375705,0.00023558507,0.00022107613,0.0008990381,0.00039388036,0.0003437631,0.00022576502,0.00035703598,0.0007168862],"category_scores_gemma":[0.00043674576,0.00018201726,0.00016608059,0.00030567893,0.0002569317,0.00023148768,0.00034107256,0.00029984067,0.00024631267],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030866262,0.000045277215,0.47452158,0.00015356165,0.00006799728,0.00039862952,0.0011487441,0.0006205467,0.49990484,0.00011876864,0.00019455481,0.02251685],"study_design_scores_gemma":[0.000002932145,0.00014678304,0.9786816,0.000019785024,0.00004098364,0.000488303,0.00033175832,0.0018868888,0.017558418,0.00004849419,0.0007802249,0.000013613904],"about_ca_topic_score_codex":0.00490052,"about_ca_topic_score_gemma":0.022786895,"teacher_disagreement_score":0.00490052,"about_ca_system_score_codex":0.00018182558,"about_ca_system_score_gemma":0.00016068427,"threshold_uncertainty_score":0.0097439885},"labels":[],"label_agreement":null},{"id":"W4414805954","doi":"10.1016/j.fishres.2025.107545","title":"Comment on Murphy et al. response to: Reassessing the drivers of capelin recruitment in Newfoundland since 1991","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Capelin; Bycatch; Fishing; Fish ","score_opus":0.07529638227898104,"score_gpt":0.3893072787368087,"score_spread":0.31401089645782765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414805954","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039474014,0.0006765178,0.00006151848,0.96029377,0.03725157,0.000022067907,0.0003037376,0.00006040673,0.00093566737],"genre_scores_gemma":[0.0024383208,0.00055011373,0.000086293134,0.9696391,0.022318808,0.00006270725,0.00007910733,0.000036548365,0.004789005],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971264,0.00046433756,0.00039201468,0.0004954703,0.0009580562,0.0005637227],"domain_scores_gemma":[0.9851922,0.0065589645,0.0012885882,0.0005330237,0.0046373517,0.0017898476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005112861,0.0010361074,0.0014329499,0.0011702123,0.00406273,0.0029532686,0.0040104343,0.035174027,0.011444879],"category_scores_gemma":[0.03561885,0.0008697283,0.0012906496,0.001410386,0.0032445427,0.0026753384,0.0024679922,0.030015813,0.00927655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028993893,0.0000054283846,0.00027246014,0.000031299747,0.0000064244928,0.00010261039,0.00006645908,0.00001487476,0.000035571622,0.00011776329,0.99825066,0.00106734],"study_design_scores_gemma":[0.000115774594,0.00005975694,0.006710157,0.0004469169,0.000059335463,0.00055330526,0.001349562,0.00019264242,0.0003986447,0.0012443186,0.9887516,0.00011793269],"about_ca_topic_score_codex":0.062185846,"about_ca_topic_score_gemma":0.07263334,"teacher_disagreement_score":0.9378142,"about_ca_system_score_codex":0.006605723,"about_ca_system_score_gemma":0.007577987,"threshold_uncertainty_score":0.12364781},"labels":[],"label_agreement":null},{"id":"W4415203188","doi":"10.1016/j.fishres.2025.107553","title":"Rearing endangered atlantic salmon (Salmo salar) in modified marine aquaculture systems for population conservation in Eastern Canada","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kellogg's (Canada); Parks Canada","funders":"Parks Canada","keywords":"Spawn (biology); Salmo; Aquaculture; Endangered species; Population; Juvenile; Fishing; Marine conservation; Netting","score_opus":0.04662812967151486,"score_gpt":0.3002823687839188,"score_spread":0.2536542391124039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415203188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927483,0.00030592651,0.0006167945,0.00028004643,0.000017707363,0.0001360907,0.00036846008,0.000029115181,0.005497644],"genre_scores_gemma":[0.98419213,0.00055976183,0.0068614134,0.00028333225,0.000007685488,0.000069060705,0.0005312911,0.000015035649,0.0074801827],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953544,0.00005490075,0.000015996207,0.00008148537,0.00017734402,0.00013494272],"domain_scores_gemma":[0.999005,0.000040360937,0.00016301005,0.00005786463,0.00038983658,0.00034395346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005279223,0.00021450882,0.000121074205,0.00044831706,0.0032662614,0.0009197153,0.0011902325,0.0001733832,0.0017160706],"category_scores_gemma":[0.00074119965,0.00016723077,0.00019108827,0.0006118276,0.0010871808,0.00035045348,0.00085739524,0.00029943985,0.00020440007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036396302,0.0005632951,0.80406356,0.00022223314,0.00012215429,0.0015153141,0.0083995545,0.0015397354,0.036073532,0.0008064797,0.0055876602,0.14074248],"study_design_scores_gemma":[0.000015831816,0.00037127043,0.975941,0.0000590676,0.0000359819,0.00023271408,0.0075205145,0.0005594291,0.0016958558,0.00009148262,0.013453144,0.000023691218],"about_ca_topic_score_codex":0.9492779,"about_ca_topic_score_gemma":0.996305,"teacher_disagreement_score":0.050722122,"about_ca_system_score_codex":0.016835155,"about_ca_system_score_gemma":0.026545672,"threshold_uncertainty_score":0.122148156},"labels":[],"label_agreement":null},{"id":"W4415289501","doi":"10.1016/j.fishres.2025.107543","title":"Institutional context and methods of knowledge mobilization: The case of Marine Stewardship Council (MSC) – Certified fishery of Lagonoy Gulf, Bicol Region, Philippines","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Certification; Stewardship (theology); Corporate governance; Context (archaeology); Leverage (statistics); Fisheries management; Citizen journalism","score_opus":0.11862399762347624,"score_gpt":0.3571109340003737,"score_spread":0.23848693637689744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415289501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8795838,0.0014807833,0.0057207607,0.018454885,0.000110483285,0.00026443144,0.00008111245,0.000041022962,0.0942627],"genre_scores_gemma":[0.9917275,0.0005391858,0.0016530097,0.0006218616,0.000017453833,0.0000631715,0.000027094247,0.000014900522,0.0053358916],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9915854,0.0057193195,0.0002103334,0.00050512445,0.0004973359,0.0014825861],"domain_scores_gemma":[0.99208504,0.0046322476,0.00089508796,0.0004147913,0.00065552985,0.0013173614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007021906,0.00035645187,0.00026678573,0.0017817027,0.016035948,0.007846911,0.0019510448,0.002263133,0.007599347],"category_scores_gemma":[0.0076757404,0.00032071202,0.0003160814,0.0019267062,0.012965954,0.0050977715,0.009804959,0.0023826053,0.0005228504],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042434458,0.000126458,0.017330488,0.00034070262,0.000015358575,0.024377394,0.88787514,0.00039413004,0.0010365931,0.039942566,0.0024937524,0.026024943],"study_design_scores_gemma":[0.000004693243,0.000029965871,0.0055419053,0.0003008575,0.0000081122835,0.0009902884,0.9428683,0.0003085778,0.0002937461,0.003973742,0.045663476,0.000016359672],"about_ca_topic_score_codex":0.024169268,"about_ca_topic_score_gemma":0.050554693,"teacher_disagreement_score":0.024169268,"about_ca_system_score_codex":0.010065811,"about_ca_system_score_gemma":0.01622315,"threshold_uncertainty_score":0.073032916},"labels":[],"label_agreement":null},{"id":"W4415322057","doi":"10.1016/j.fishres.2025.107556","title":"Supplementation of adult Atlantic salmon (Salmo salar) restores biofilm biomass and benthic metabolism","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"Fondation Pour La Conservation Du Saumon Atlantique","keywords":"Salmo; Biomass (ecology); Benthic zone; Nutrient; Population; Ecosystem; Productivity; Bay","score_opus":0.023100543342669675,"score_gpt":0.31757147047031253,"score_spread":0.29447092712764283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415322057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995727,0.00006012264,0.00014433032,0.000019540365,0.0000029624543,0.000006656414,0.000045342935,0.000011479313,0.00013682016],"genre_scores_gemma":[0.99703324,0.00015672373,0.0011375387,0.00009251349,0.0000037052114,0.00002786966,0.00023113102,0.000008704936,0.0013086563],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999912,0.000012303565,0.000006777479,0.000026712813,0.000020869018,0.000021271857],"domain_scores_gemma":[0.9998579,0.000007940736,0.00004891392,0.000011390167,0.000031222018,0.000042602816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015095368,0.00019571146,0.0002948438,0.000117676114,0.00019185634,0.00033146754,0.0002446416,0.00019331969,0.00078976055],"category_scores_gemma":[0.00020397332,0.00012435348,0.00018588746,0.00009261726,0.00020082388,0.000174827,0.0003893176,0.00027207445,0.00010009187],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007963188,0.00044566017,0.01836364,0.00011083746,0.000044493972,0.000069667716,0.00021279971,0.00026846354,0.9607126,0.00006342296,0.00019707593,0.018715024],"study_design_scores_gemma":[0.00015790165,0.017809598,0.7676324,0.000050515155,0.00020691115,0.00014212797,0.0010375576,0.0033369858,0.20209783,0.00018126283,0.007313916,0.000033000815],"about_ca_topic_score_codex":0.011190328,"about_ca_topic_score_gemma":0.037631672,"teacher_disagreement_score":0.011190328,"about_ca_system_score_codex":0.00045006067,"about_ca_system_score_gemma":0.0006527431,"threshold_uncertainty_score":0.022250354},"labels":[],"label_agreement":null},{"id":"W4415447735","doi":"10.1016/j.fishres.2025.107561","title":"Ferrite magnets do not deter blue sharks (Prionace glauca) from bait strikes in behavioural trials","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Leverhulme Trust; W. Garfield Weston Foundation; Garfield Weston Foundation","keywords":"Fishing; Magnet; Significant difference; Ferrite (magnet)","score_opus":0.10006485721313993,"score_gpt":0.3661461442878725,"score_spread":0.26608128707473255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415447735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945635,0.00006252337,0.00009662998,0.00002281032,0.000008319715,0.000021055213,0.00002854552,0.0000053227745,0.0002983586],"genre_scores_gemma":[0.996385,0.00014408506,0.0007818898,0.000110100475,0.000015037565,0.00010040636,0.0001673587,0.00000800025,0.0022880172],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995627,0.00012717934,0.000046736895,0.000091901355,0.00012386934,0.000047635207],"domain_scores_gemma":[0.9989039,0.0003931527,0.00029313753,0.00009497035,0.000105122395,0.00020967623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461284,0.000326409,0.0004519732,0.00012711914,0.00020624188,0.00028179673,0.0004987918,0.00040116542,0.0020140929],"category_scores_gemma":[0.0015688923,0.00020905404,0.00017758811,0.000074563475,0.00032961555,0.00035453503,0.00030134033,0.00038770927,0.00023015622],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019402986,0.003917786,0.02587923,0.00083754375,0.00021406886,0.00020014321,0.0005984565,0.0009522913,0.9210449,0.000120178775,0.00052182353,0.026310531],"study_design_scores_gemma":[0.0022915,0.26522413,0.39235455,0.00021646082,0.00042314074,0.00066766987,0.00091361103,0.005059261,0.32673487,0.00035473582,0.00568637,0.00007371014],"about_ca_topic_score_codex":0.0014500411,"about_ca_topic_score_gemma":0.0047328994,"teacher_disagreement_score":0.0020140929,"about_ca_system_score_codex":0.0002857644,"about_ca_system_score_gemma":0.00021025885,"threshold_uncertainty_score":0.0067378283},"labels":[],"label_agreement":null},{"id":"W4415486682","doi":"10.1016/j.fishres.2025.107567","title":"Size-specific abundance dynamics of Atlantic Bluefin Tuna in Canadian waters","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Government of Canada","keywords":"Abundance (ecology); Tuna; Stock assessment; Relative species abundance; Population; Fish measurement; Fishing; Fisheries management","score_opus":0.02369818591258206,"score_gpt":0.2872133592504554,"score_spread":0.26351517333787333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415486682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890494,0.000049924878,0.000023969278,0.000026227872,0.0000015041167,0.0000017873125,0.00043816067,0.0000023721461,0.0005510579],"genre_scores_gemma":[0.998912,0.00004892052,0.00004196403,0.000013711186,0.0000011265479,0.0000025917534,0.0003201759,0.0000016244969,0.0006580393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986446,0.0000061391097,0.000005219335,0.00003545538,0.000032522097,0.000056095112],"domain_scores_gemma":[0.9994349,0.000054732438,0.00010566669,0.000024463208,0.00021287931,0.00016725861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023194325,0.00012702002,0.00016649124,0.00070068944,0.0007988003,0.0004521962,0.0004578289,0.00024636413,0.0014930591],"category_scores_gemma":[0.00089613546,0.000181815,0.00023947831,0.00072355283,0.0004753495,0.00032407726,0.00040404926,0.00018918814,0.00017009057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011795174,0.000013073654,0.9925471,0.000009787485,0.000042080257,0.000051655847,0.00047203875,0.0003910727,0.0020286923,0.00009140335,0.0004713514,0.0037638503],"study_design_scores_gemma":[5.940762e-7,0.0000025869165,0.999546,9.059091e-7,0.000002763097,0.000009262117,0.00015566187,0.0001406607,0.0000264803,0.0000068638606,0.00010661307,0.0000016338491],"about_ca_topic_score_codex":0.92896265,"about_ca_topic_score_gemma":0.9774833,"teacher_disagreement_score":0.07103735,"about_ca_system_score_codex":0.0047029476,"about_ca_system_score_gemma":0.0027282021,"threshold_uncertainty_score":0.14291137},"labels":[],"label_agreement":null},{"id":"W4415714869","doi":"10.1016/j.fishres.2025.107571","title":"Integrating a seabird diet-derived recruitment index into a stock assessment model of Atlantic herring in the Northeast U.S.","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Herring; Clupea; Atlantic herring; Seabird; Stock assessment; Provisioning; Abundance (ecology)","score_opus":0.11163030260094256,"score_gpt":0.3825485825606704,"score_spread":0.27091827995972784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415714869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908875,0.00006294572,0.008049583,0.00012307928,0.0000047097583,0.000011728083,0.00014710685,0.000031426596,0.0006819189],"genre_scores_gemma":[0.99750346,0.000028788267,0.0018056423,0.0000179248,0.000002246871,0.000009737212,0.00011637152,0.0000036860786,0.00051214953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983716,0.000049707818,0.000011530479,0.00006168681,0.000013608477,0.000026303347],"domain_scores_gemma":[0.9995747,0.00017443617,0.000107484724,0.000016173646,0.00007551483,0.000051584575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008948126,0.00043719247,0.00025437775,0.00041302602,0.00032522058,0.0009205688,0.0006351749,0.0005118413,0.0007254235],"category_scores_gemma":[0.001533617,0.00043370694,0.00044881096,0.00022322367,0.00028153168,0.00057114393,0.0004943869,0.00044815388,0.00013650216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039269064,0.000060250557,0.09876567,0.000012199389,0.00008562809,0.00009667576,0.00009423025,0.8946831,0.00066674285,0.00058388436,0.0001429346,0.004769461],"study_design_scores_gemma":[0.0000028748532,0.000017531333,0.008916266,0.0000035250523,0.000014599863,0.000009308602,0.000029180812,0.99069875,0.000050126597,0.00019907225,0.000054643628,0.000004151515],"about_ca_topic_score_codex":0.1461293,"about_ca_topic_score_gemma":0.17043363,"teacher_disagreement_score":0.1461293,"about_ca_system_score_codex":0.0015275076,"about_ca_system_score_gemma":0.0010981807,"threshold_uncertainty_score":0.2905575},"labels":[],"label_agreement":null},{"id":"W4416375044","doi":"10.1016/j.fishres.2025.107579","title":"Beyond fish: Social outcomes of Maritimes region atlantic salmon hatcheries and stocking programs through a social-ecological systems lens","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stocking; Hatchery; Psychological resilience; Stewardship (theology); Fish hatchery; Habitat; Climate change","score_opus":0.07373893135634234,"score_gpt":0.32641231806470616,"score_spread":0.2526733867083638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416375044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98084897,0.00020910229,0.00026208826,0.0037298459,0.00003633043,0.000012019231,0.000112368674,0.000004836824,0.014784254],"genre_scores_gemma":[0.99843305,0.000098699275,0.00012097329,0.00023678532,0.000015896141,0.000007897768,0.000031979158,0.000002902131,0.0010517747],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99921155,0.0003622792,0.000019772586,0.00008438955,0.00012973654,0.00019230899],"domain_scores_gemma":[0.9975069,0.00056937285,0.0008258103,0.000091507034,0.00020810693,0.0007982531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017871787,0.00019103398,0.00016809806,0.00061530585,0.0023125592,0.0025989632,0.0005749059,0.0005731401,0.0056565334],"category_scores_gemma":[0.0035934828,0.00007473711,0.00024520344,0.0005756796,0.0033812257,0.0021336623,0.0035667329,0.0011823209,0.00018543037],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013068168,0.00028668917,0.8110422,0.00012298004,0.00015508552,0.00060871325,0.1325561,0.00042862163,0.0017252838,0.021520378,0.0034570948,0.02796618],"study_design_scores_gemma":[0.000004167393,0.0001420411,0.8748605,0.000090323505,0.00003157265,0.000047814978,0.11447733,0.00035020954,0.00014949858,0.002079754,0.0077478997,0.00001883262],"about_ca_topic_score_codex":0.07940414,"about_ca_topic_score_gemma":0.21149318,"teacher_disagreement_score":0.9205959,"about_ca_system_score_codex":0.0035778128,"about_ca_system_score_gemma":0.0026635968,"threshold_uncertainty_score":0.15788394},"labels":[],"label_agreement":null},{"id":"W4416888129","doi":"10.1016/j.fishres.2025.107575","title":"Rebuttal to the Response by Abass et al.","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"","score_opus":0.0378390134456272,"score_gpt":0.41662479206318787,"score_spread":0.3787857786175607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416888129","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009678162,0.0007331106,0.00010609189,0.959763,0.038474612,0.000008075168,0.00006963172,0.000043547534,0.00070512743],"genre_scores_gemma":[0.0010629509,0.0008234825,0.00022590754,0.9611177,0.034173645,0.000025705058,0.000035719844,0.00003185817,0.0025030558],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99197525,0.0016338403,0.0009565426,0.0012326901,0.0033587941,0.0008427828],"domain_scores_gemma":[0.9452357,0.024681643,0.0034704034,0.002113487,0.01917783,0.005320838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010120571,0.0013419962,0.0017585552,0.0015017291,0.0046167057,0.0077042705,0.0049464223,0.054879908,0.016323475],"category_scores_gemma":[0.09209701,0.0007443247,0.0016724516,0.0012883929,0.00472994,0.0073853265,0.0047996063,0.06585094,0.016233882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002898706,0.000014833025,0.00014184913,0.0000566784,0.000013667808,0.00019072238,0.00009253637,0.000020719219,0.000062063096,0.00082893285,0.9952524,0.0032965234],"study_design_scores_gemma":[0.00005588421,0.000040850333,0.00047902408,0.0005607622,0.00003452985,0.00039150196,0.00068288797,0.00014789488,0.00028927985,0.0051978934,0.9920487,0.0000707624],"about_ca_topic_score_codex":0.007597797,"about_ca_topic_score_gemma":0.012107473,"teacher_disagreement_score":0.054879908,"about_ca_system_score_codex":0.0030118993,"about_ca_system_score_gemma":0.008090106,"threshold_uncertainty_score":0.05460745},"labels":[],"label_agreement":null},{"id":"W580054981","doi":"10.1016/j.fishres.2015.05.025","title":"Discrimination of northern form Dolly Varden Char (Salvelinus malma malma) stocks of the North Slope, Yukon and Northwest Territories, Canada via otolith trace elements and 87Sr/86Sr isotopes","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Otolith; Salvelinus; Fishery; Drainage basin; Arctic char; Hydrology (agriculture); Fish migration; Fisheries management; Environmental science; Geography; Physical geography; Geology; Fishing; Fish ; Trout; Biology","score_opus":0.02529102407941933,"score_gpt":0.2604812120586827,"score_spread":0.23519018797926336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W580054981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993887,0.000024646035,0.000034559354,0.0000061670585,6.3671047e-7,0.0000021272028,0.000098302495,0.0000015572421,0.00044330725],"genre_scores_gemma":[0.99886084,0.000034682907,0.000110320485,0.000007365715,4.6108173e-7,0.0000030047158,0.00025755144,0.0000020996472,0.0007237247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984646,0.000019835896,0.000010040471,0.000044952976,0.000034794062,0.000043938075],"domain_scores_gemma":[0.9995307,0.000034174875,0.00010352626,0.000022724986,0.00018240711,0.0001265038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022775953,0.00020133753,0.00017985521,0.0009625623,0.00087114074,0.00061530294,0.0003339072,0.00016582487,0.00066499464],"category_scores_gemma":[0.00042286707,0.00016783332,0.00011384196,0.0008297738,0.0006411411,0.00028385982,0.0004602574,0.00015475083,0.000192766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023393158,0.000021003847,0.9814465,0.000011367546,0.000047403642,0.00009203337,0.0012879116,0.00016451438,0.0108360145,0.00014399097,0.00012622551,0.0055891136],"study_design_scores_gemma":[0.0000024375065,0.000016346372,0.9987332,0.0000024138462,0.000006122989,0.000041624695,0.0006640366,0.00009138949,0.00022999235,0.000013937074,0.00019609052,0.000002349765],"about_ca_topic_score_codex":0.71971685,"about_ca_topic_score_gemma":0.9352483,"teacher_disagreement_score":0.28028315,"about_ca_system_score_codex":0.0027993107,"about_ca_system_score_gemma":0.0020659538,"threshold_uncertainty_score":0.56386757},"labels":[],"label_agreement":null},{"id":"W7083585439","doi":"10.1016/j.fishres.2025.107541","title":"Influence of time-varying productivity on fishery reference points and implications for conservation objectives and management advice","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Productivity; Fishing; Stock (firearms); Fisheries management; Maximum sustainable yield; Management by objectives; Operationalization; Control (management)","score_opus":0.046985683165192325,"score_gpt":0.31145608092624705,"score_spread":0.26447039776105474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083585439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737013,0.00032723715,0.01707571,0.0005311882,0.00003191813,0.00009412563,0.00027211104,0.00013738708,0.007828999],"genre_scores_gemma":[0.99600106,0.000055116918,0.0033901434,0.00004772065,0.000004082785,0.00001883462,0.00013292613,0.000017940149,0.00033225337],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99153066,0.0037607774,0.00038956056,0.0012914796,0.0022228977,0.00080463965],"domain_scores_gemma":[0.9299269,0.04735666,0.008509602,0.0040582353,0.008370989,0.0017776827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020127552,0.00060458085,0.0006740251,0.0015464915,0.00085300795,0.0030671791,0.0016705428,0.0013844161,0.0015887718],"category_scores_gemma":[0.10955783,0.0003718979,0.00093002274,0.0016233651,0.0018280257,0.0028291538,0.0021115849,0.0015151527,0.00022141871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010100725,0.00044267622,0.5058177,0.00017922856,0.0004301894,0.00049070147,0.0012647551,0.35912454,0.003708054,0.014456174,0.0017218657,0.11135403],"study_design_scores_gemma":[0.00010511387,0.0011611772,0.61341107,0.0001793726,0.00022145356,0.00016805288,0.0035190275,0.35474896,0.0045002284,0.018266113,0.003539174,0.00018031213],"about_ca_topic_score_codex":0.050430633,"about_ca_topic_score_gemma":0.03573922,"teacher_disagreement_score":0.050430633,"about_ca_system_score_codex":0.0039178,"about_ca_system_score_gemma":0.0015635825,"threshold_uncertainty_score":0.10644591},"labels":[],"label_agreement":null},{"id":"W7091398230","doi":"10.1016/j.fishres.2025.107557","title":"Exploitation rates of Atlantic salmon and sea trout in recreational fisheries in western Norwegian rivers","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Miljødirektoratet","keywords":"Overexploitation; Fishing; Fisheries management; Fish migration; Population; Norwegian; Trout; Recreational fishing","score_opus":0.041049264428348345,"score_gpt":0.3179781142012134,"score_spread":0.2769288497728651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7091398230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99980396,0.00005110176,0.0000208675,0.000004239655,6.0886225e-7,8.847022e-7,0.000054119875,7.608797e-7,0.000063500986],"genre_scores_gemma":[0.9994917,0.00007274251,0.00006845234,0.000005540994,0.0000016374385,0.000005824666,0.0001872271,0.0000012570371,0.00016567497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958855,0.00010223291,0.00008346784,0.00009439692,0.000076244956,0.00005515347],"domain_scores_gemma":[0.9983962,0.00032230708,0.00084759406,0.000077319404,0.00019241449,0.00016409796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094619,0.00017680886,0.00016950366,0.00074653537,0.0003018274,0.0004079136,0.00021784249,0.00024452686,0.00038215818],"category_scores_gemma":[0.0018324851,0.00020411145,0.00030491082,0.0006923216,0.00053061295,0.0005127237,0.0004989735,0.00017282895,0.000091951006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054859942,0.000011178941,0.99743134,0.000008311162,0.000018338927,0.000068281726,0.00047827317,0.000109334294,0.00055634946,0.000010074609,0.000043094984,0.0012106446],"study_design_scores_gemma":[9.119736e-7,0.00002597373,0.999368,0.000003099742,0.000004751172,0.00004452644,0.00038088666,0.0000793072,0.000031883308,0.0000055401665,0.000052710868,0.0000025516172],"about_ca_topic_score_codex":0.040639963,"about_ca_topic_score_gemma":0.11916981,"teacher_disagreement_score":0.040639963,"about_ca_system_score_codex":0.00066760136,"about_ca_system_score_gemma":0.00043217064,"threshold_uncertainty_score":0.08080685},"labels":[],"label_agreement":null},{"id":"W7116304955","doi":"10.1016/j.fishres.2025.107637","title":"Influence of gear type, release method, and injury on immediate and delayed mortality of Chinook salmon (Oncorhynchus tshawytscha) captured and released from a marine recreational fishery","year":2025,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Habitat Conservation Trust Foundation; Fisheries Society of the British Isles; Philanthropic Educational Organization; University of British Columbia; Bamfield Marine Sciences Centre","keywords":"Chinook wind; Catch and release; Fishing; Oncorhynchus; Recreational fishing; Fisheries management; Fish measurement","score_opus":0.021909192740669756,"score_gpt":0.3191148492415048,"score_spread":0.297205656500835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116304955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99988747,0.000020340189,0.000006794928,0.000002442216,0.0000012582666,0.0000015720476,0.000029392313,4.871801e-7,0.00005012333],"genre_scores_gemma":[0.9995739,0.000031145653,0.000026790403,0.000013134243,0.0000017810678,0.0000037207901,0.00011651613,7.403257e-7,0.00023226337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999806,0.00003157589,0.000028160128,0.00005071149,0.000031026462,0.000052642365],"domain_scores_gemma":[0.9991518,0.00016740269,0.00030965754,0.000031884774,0.00009406951,0.0002450492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036934062,0.0002602477,0.00019430039,0.00027764184,0.00017887168,0.0003324426,0.00017706142,0.00022286279,0.0007236059],"category_scores_gemma":[0.00084534934,0.00011379964,0.00036166364,0.00019369551,0.00024194893,0.00017137322,0.00026626454,0.00021344649,0.0001257985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011579184,0.00016292206,0.980374,0.000022437629,0.00011883153,0.00015176277,0.00016982561,0.00012495527,0.014815321,0.0000070497504,0.0000539917,0.002841101],"study_design_scores_gemma":[0.0000023117975,0.00042021164,0.99916744,0.0000014487183,0.00001456067,0.000019219426,0.00009347993,0.000054650158,0.00020638862,0.0000014045531,0.00001727494,0.000001645737],"about_ca_topic_score_codex":0.010455663,"about_ca_topic_score_gemma":0.041603226,"teacher_disagreement_score":0.010455663,"about_ca_system_score_codex":0.0003322661,"about_ca_system_score_gemma":0.00024689414,"threshold_uncertainty_score":0.020789623},"labels":[],"label_agreement":null},{"id":"W985384549","doi":"10.1016/j.fishres.2015.06.028","title":"Reconstruction of Italy’s marine fisheries removals and fishing capacity, 1950–2010","year":2015,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discards; Fishing; Fishery; Fisheries management; Catch per unit effort; Geography; Recreational fishing; Subsistence agriculture; Mediterranean sea; Marine fisheries; Mediterranean climate; Environmental science; Agriculture; Biology","score_opus":0.12617531883648472,"score_gpt":0.30559126759003347,"score_spread":0.17941594875354874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W985384549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89914066,0.0051598367,0.000708231,0.002411084,0.00019190647,0.000027878734,0.057000086,0.0004043268,0.034956],"genre_scores_gemma":[0.95495343,0.0014999988,0.0009999643,0.00019858113,0.00015728053,0.000047637477,0.030919552,0.000059819486,0.011163614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997204,0.000031769665,0.000029571856,0.00010443459,0.000028589628,0.00008521565],"domain_scores_gemma":[0.9991278,0.00009695853,0.0004062436,0.00011412811,0.00016182942,0.00009301168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057476177,0.00043975638,0.00022428717,0.003998559,0.00027536444,0.0008012402,0.00042007456,0.0005982695,0.003812494],"category_scores_gemma":[0.0012833726,0.0003132008,0.0008095626,0.004020717,0.0004337053,0.00039559763,0.00086485746,0.00043793055,0.0012955983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085770007,0.00009948437,0.8603131,0.0004958165,0.00055161753,0.00045375558,0.00078436144,0.006286365,0.001090797,0.004993309,0.06587627,0.058197368],"study_design_scores_gemma":[0.00000851209,0.0000126128125,0.9884559,0.0000333422,0.00002890402,0.00008366854,0.000077799785,0.0004374401,0.00004987879,0.000053703643,0.010752141,0.000006062322],"about_ca_topic_score_codex":0.079973,"about_ca_topic_score_gemma":0.08386772,"teacher_disagreement_score":0.079973,"about_ca_system_score_codex":0.0015640581,"about_ca_system_score_gemma":0.0010226021,"threshold_uncertainty_score":0.159015},"labels":[],"label_agreement":null}]}