{"meta":{"query_hash":"b5bae9cfa774","filters":{"venue":"African Journal of Marine Science"},"cohort_total":16,"direct_labels_cover":0,"predictions_cover":16,"exported":16,"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/b5bae9cfa774","api":"https://metacan.xera.ac/api/v1/cohort?venue=African+Journal+of+Marine+Science"},"results":[{"id":"W1546000974","doi":"10.2989/1814232x.2015.1039583","title":"Incorporating stable isotopes into a multidisciplinary framework to improve data inference and their conservation and management application","year":2015,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":14,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Multidisciplinary approach; Stable isotope ratio; Inference; Population; Resource (disambiguation); Environmental resource management; Ecology; Geography; Computer science; Data science; Environmental science; Biology; Sociology; Physics; Artificial intelligence","score_opus":0.021009268988150927,"score_gpt":0.2803192870720704,"score_spread":0.25931001808391946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546000974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92838436,0.000017105975,0.066420674,0.0022130376,0.00007332136,0.0002632702,0.000002054049,0.000007314596,0.0026188563],"genre_scores_gemma":[0.8576246,0.000020679461,0.14210242,0.00018798263,0.00002098144,0.000007430834,0.0000010300171,0.0000038045387,0.00003106078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879473,0.00004944693,0.0003102573,0.00034260852,0.00032147503,0.00018148732],"domain_scores_gemma":[0.9988394,0.00012220176,0.00032149968,0.0004164127,0.000077018005,0.00022346084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025237487,0.00009747764,0.00016064126,0.00012562532,0.00018594209,0.00008687705,0.00079043466,0.00002324395,0.000015903039],"category_scores_gemma":[0.0005914222,0.00007468445,0.00000917923,0.0007935179,0.0005830626,0.000919073,0.0043911254,0.00012428689,0.000008612092],"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":[0.000052980093,0.000079933445,0.7348622,0.000013509669,0.00001678448,0.000009228951,0.002742225,0.00096627435,0.008840901,0.0014644061,0.00018627179,0.25076526],"study_design_scores_gemma":[0.0007050326,0.0009831525,0.7737217,0.000059717255,0.00006248038,0.000078464815,0.009062926,0.10627971,0.0016958474,0.10402956,0.0028676644,0.00045373949],"about_ca_topic_score_codex":0.00031340198,"about_ca_topic_score_gemma":0.000307471,"teacher_disagreement_score":0.25031152,"about_ca_system_score_codex":0.00013315551,"about_ca_system_score_gemma":0.000060574,"threshold_uncertainty_score":0.5473224},"labels":[],"label_agreement":null},{"id":"W1989659620","doi":"10.2989/1814232x.2011.600291","title":"Distribution and movement of scalloped hammerhead <i>Sphryna lewini</i> and smooth hammerhead <i>Sphyrna zygaena</i> sharks along the east coast of southern Africa","year":2011,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":51,"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 Windsor","funders":"","keywords":"Fishery; Geography; Cape; Oceanography; Biology; Geology; Archaeology","score_opus":0.013998255941064628,"score_gpt":0.20027100169317286,"score_spread":0.18627274575210823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989659620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878366,0.00009678944,0.00040441024,0.0005103001,0.00012389384,0.00013678148,0.00003097459,0.000004639497,0.010855622],"genre_scores_gemma":[0.99890846,0.000057370144,0.0007572567,0.00011827203,0.000022544635,0.0000025351985,0.0000015446378,0.0000067267006,0.00012527106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823236,0.00010109391,0.00058885355,0.0002727665,0.00042777244,0.00037712167],"domain_scores_gemma":[0.9987677,0.00009157794,0.000607624,0.00025358814,0.00009226296,0.00018725885],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019152808,0.00017118169,0.00033312614,0.00006438962,0.0002084801,0.0000147115425,0.00062729587,0.000056015757,0.00026614056],"category_scores_gemma":[0.00017588794,0.00011009003,0.00006697735,0.00045583994,0.0037135906,0.00025114443,0.001120539,0.0002288304,0.0000058893324],"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":[0.0005031333,0.0003384872,0.8761553,0.000023210443,0.000052106137,0.00001861969,0.0051981923,0.000025063368,0.045522124,0.0006271735,0.0006023523,0.070934236],"study_design_scores_gemma":[0.0010142777,0.0012157648,0.98111296,0.000039701015,0.000090391135,0.00016080815,0.0030805287,0.0001215688,0.008493768,0.0021115902,0.0023194314,0.00023922589],"about_ca_topic_score_codex":0.0014329675,"about_ca_topic_score_gemma":0.0005142175,"teacher_disagreement_score":0.10495764,"about_ca_system_score_codex":0.00004706472,"about_ca_system_score_gemma":0.00007420523,"threshold_uncertainty_score":0.99899775},"labels":[],"label_agreement":null},{"id":"W1995629599","doi":"10.2989/18142320409504056","title":"Modelling stock dynamics in the southern Benguela ecosystem for the period 1978–2002","year":2004,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":93,"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","funders":"University of British Columbia","keywords":"Fishing; Ecosystem; Pelagic zone; Environmental science; Ecosystem model; Population; Time series; Stock (firearms); Geography; Ecology; Climatology; Biology; Statistics; Mathematics; Geology","score_opus":0.020046511695151474,"score_gpt":0.23765863895702138,"score_spread":0.2176121272618699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995629599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7783802,0.000023216237,0.037398253,0.009287319,0.00028358752,0.0008258163,0.000016921991,0.000010392182,0.1737743],"genre_scores_gemma":[0.99692583,0.000015974767,0.0025262618,0.000071563474,0.00006633278,0.000011405485,2.6936723e-7,0.0000067428,0.00037559474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809474,0.00005271628,0.00033779594,0.00018737043,0.0009133903,0.0004140134],"domain_scores_gemma":[0.99919266,0.00016463184,0.00018315834,0.00030408675,0.000056331763,0.00009914495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031727066,0.00010658096,0.00014278013,0.00008319736,0.0004102189,0.00016434462,0.0017381466,0.000023165134,0.00043343997],"category_scores_gemma":[0.00015847791,0.000055963894,0.00008629313,0.0008879317,0.0005237101,0.0003146688,0.00048019033,0.00032637813,0.000016482303],"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":[0.00024428114,0.00036037562,0.08865573,0.000030711424,0.000028304046,0.00013557023,0.015351447,0.6627874,0.00015858062,0.005580846,0.00018912414,0.22647767],"study_design_scores_gemma":[0.0017845334,0.001070763,0.008763084,0.000032470074,0.000037939477,0.0008434982,0.046335116,0.903613,0.000038783437,0.008622529,0.028419698,0.00043859406],"about_ca_topic_score_codex":0.0008880687,"about_ca_topic_score_gemma":0.0015677435,"teacher_disagreement_score":0.24082562,"about_ca_system_score_codex":0.00043837717,"about_ca_system_score_gemma":0.00012841802,"threshold_uncertainty_score":0.4745864},"labels":[],"label_agreement":null},{"id":"W1998065777","doi":"10.2989/18142320609504192","title":"Salmon mortalities associated with a bloom of<i>Alexandrium fundyense</i>in 2003 in the Bay of Fundy, and subsequent early warning approaches for industry","year":2006,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":11,"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":"","keywords":"Bay; Bloom; Fishery; Algal bloom; Aquaculture; Biology; Shellfish; Saxitoxin; Mytilus; Dinoflagellate; Gill; Paralytic shellfish poisoning; Red tide; Aquatic animal; Oceanography; Ecology; Fish <Actinopterygii>; Phytoplankton; Toxin","score_opus":0.028403125926439902,"score_gpt":0.2401027302542255,"score_spread":0.2116996043277856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998065777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915635,0.000020350315,0.0004678394,0.000082414146,0.000032436492,0.00014765757,0.000002802399,0.0000020452742,0.0076809805],"genre_scores_gemma":[0.99463624,0.000004182324,0.005093762,0.000013625146,0.000016040529,0.0000040947652,3.1270855e-7,0.0000050418485,0.00022670027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984582,0.00015222236,0.00044773074,0.00016673529,0.00052945904,0.0002456528],"domain_scores_gemma":[0.99906445,0.00019690083,0.0004969835,0.00012838125,0.000058052145,0.00005524971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038831676,0.000101740385,0.00024212229,0.0001713342,0.00006826843,0.000031999247,0.00030590256,0.000045780835,0.000044377637],"category_scores_gemma":[0.0003280943,0.00006527557,0.000033605716,0.0013862342,0.0007679712,0.00026341891,0.0001313337,0.00027477276,8.3434e-8],"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":[0.000076112556,0.00010884588,0.9911318,0.0000085239,0.000004696261,0.000008567233,0.0005795086,0.0026218095,0.0012162925,0.00015943275,0.000011204364,0.0040732017],"study_design_scores_gemma":[0.0005626349,0.0005812637,0.99378157,0.000030200892,0.000014733372,0.000050512223,0.0011734177,0.0013807525,0.0015474877,0.0007135798,0.00007563052,0.00008824589],"about_ca_topic_score_codex":0.0010633643,"about_ca_topic_score_gemma":0.00082876324,"teacher_disagreement_score":0.00745428,"about_ca_system_score_codex":0.00007493236,"about_ca_system_score_gemma":0.00007716528,"threshold_uncertainty_score":0.2829622},"labels":[],"label_agreement":null},{"id":"W2080904524","doi":"10.2989/18142320309504044","title":"Population Numbers of Fur Seals at Prince Edward Island, Southern Ocean","year":2003,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":33,"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":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Fur seal; Population; Biology; Oceanography; Geography; Fishery; Ecology; Geology; Demography","score_opus":0.009896290233715048,"score_gpt":0.22914936623890136,"score_spread":0.21925307600518631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080904524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88551795,0.000025165167,0.000043153,0.00013933319,0.00011127745,0.00008725188,0.0000028324635,0.000005370658,0.11406768],"genre_scores_gemma":[0.99633425,0.000045296867,0.0024884525,0.00007612905,0.000025926005,4.6830894e-7,2.9282913e-7,0.000008691852,0.0010204768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780536,0.00008615517,0.00051581,0.00024140313,0.0010085402,0.0003427508],"domain_scores_gemma":[0.99878055,0.00006084479,0.0006563654,0.00023795244,0.000072586605,0.00019168612],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017557547,0.00013963463,0.00029188726,0.00007513213,0.00019477464,0.000020628866,0.00060607446,0.000022625785,0.0023634508],"category_scores_gemma":[0.0004476482,0.00010947314,0.00010003059,0.0008642637,0.0005504668,0.00034010957,0.0008372492,0.00012900442,0.00007539986],"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":[0.00003277461,0.000052643656,0.986554,0.000009761296,0.000009149307,0.000009713625,0.00052664784,0.00029086668,0.0007858118,0.00014355493,0.00030511784,0.011279954],"study_design_scores_gemma":[0.00048694704,0.00034129995,0.98316056,0.000026976026,0.000032545922,0.00016976908,0.00086434535,0.0000698483,0.0011832482,0.0013619186,0.012066507,0.00023603118],"about_ca_topic_score_codex":0.001198503,"about_ca_topic_score_gemma":0.0014332386,"teacher_disagreement_score":0.113047205,"about_ca_system_score_codex":0.0003460133,"about_ca_system_score_gemma":0.00004795494,"threshold_uncertainty_score":0.9985485},"labels":[],"label_agreement":null},{"id":"W2155908061","doi":"10.2989/1814232x.2012.673294","title":"Climate change impacts on fisheries in West Africa: implications for economic, food and nutritional security","year":2012,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":163,"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":"Pew Charitable Trusts","keywords":"Climate change; Food security; Geography; Vulnerability (computing); Fishery; Livelihood; Fishing; Effects of global warming; Global warming; Ecology; Agriculture; Biology","score_opus":0.04108694784749639,"score_gpt":0.27610486363394615,"score_spread":0.23501791578644976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155908061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8817201,0.000021867767,0.000012279314,0.005003433,0.00011138606,0.00027436702,0.000050689938,0.000005260619,0.11280062],"genre_scores_gemma":[0.99863595,0.00015882458,0.00093564496,0.000084250656,0.00013215041,0.000029154302,0.0000012170938,0.00000576522,0.00001703235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988489,0.000025903351,0.00024569567,0.00015985267,0.0002217097,0.00049795245],"domain_scores_gemma":[0.99926436,0.0001366502,0.00014168477,0.00013694727,0.000024239664,0.0002961321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012247663,0.000091598005,0.00014603717,0.00013766524,0.00017976793,0.000068687536,0.000338791,0.00002366911,0.00071818667],"category_scores_gemma":[0.0001376187,0.000077478806,0.000038663304,0.00028427443,0.00056496443,0.0011212097,0.000501393,0.00013832851,0.000009852843],"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":[0.00007916214,0.00016341767,0.9539914,0.000010231381,0.000002860959,8.451308e-7,0.0007454053,0.0000016121519,0.00020027369,0.0029679302,0.00040984913,0.04142699],"study_design_scores_gemma":[0.00037446176,0.0006131475,0.98225933,0.0000062612926,0.0000037500135,0.000052237963,0.00024483184,0.000047742953,0.00013505887,0.00443582,0.011721909,0.00010547239],"about_ca_topic_score_codex":0.00006115151,"about_ca_topic_score_gemma":0.00014520435,"teacher_disagreement_score":0.11691586,"about_ca_system_score_codex":0.00021805064,"about_ca_system_score_gemma":0.00003684118,"threshold_uncertainty_score":0.7863641},"labels":[],"label_agreement":null},{"id":"W2158473725","doi":"10.2989/1814232x.2015.1013058","title":"Intraguild predation and partial consumption of blue sharks<i>Prionace glauca</i>by Cape fur seals<i>Arctocephalus pusillus pusillus</i>","year":2015,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":11,"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":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Predation; Intraguild predation; Trophic level; Biology; Fur seal; Ecology; Apex predator; Cape; Predator; Fishery; Trophic cascade; Predatory fish; Geography","score_opus":0.01302414069618182,"score_gpt":0.23597434902764253,"score_spread":0.2229502083314607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158473725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944056,0.00009413441,0.0005446271,0.0007643651,0.00042021953,0.00014546092,0.000008677911,0.000009946334,0.0036069173],"genre_scores_gemma":[0.9980448,0.00009913163,0.0014007328,0.00016973581,0.00007349715,0.0000031972122,0.0000040993145,0.000006972991,0.0001978401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803567,0.00015034675,0.00053163595,0.00031611515,0.00059325143,0.00037299833],"domain_scores_gemma":[0.99866635,0.00009291155,0.0005101136,0.00021979111,0.00014377128,0.00036708577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021876122,0.00015992898,0.00029486348,0.000119694756,0.00013917757,0.000026605718,0.0005688231,0.00008027692,0.00052637205],"category_scores_gemma":[0.00052651524,0.00013119445,0.000045678207,0.00044697785,0.002192823,0.00063906,0.0009065461,0.00023450151,0.00003727784],"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":[0.00090079947,0.00046044315,0.73856986,0.0000272463,0.000048620823,0.0000503064,0.0026958673,0.00090244896,0.15652677,0.0008668849,0.008206454,0.09074428],"study_design_scores_gemma":[0.0056632315,0.005049164,0.8733268,0.00006264825,0.00022610849,0.0031655983,0.0016096778,0.003957186,0.06059145,0.004125185,0.04118033,0.0010426119],"about_ca_topic_score_codex":0.0003286421,"about_ca_topic_score_gemma":0.00008549433,"teacher_disagreement_score":0.13475694,"about_ca_system_score_codex":0.00016402775,"about_ca_system_score_gemma":0.00017780208,"threshold_uncertainty_score":0.8079548},"labels":[],"label_agreement":null},{"id":"W2979885855","doi":"10.2989/1814232x.2019.1656105","title":"Localised intermittent upwelling intensity has increased along South Africa’s south coast due to<i>El Niño</i>–Southern Oscillation phase state","year":2019,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":17,"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":"","keywords":"Upwelling; El Niño Southern Oscillation; Climatology; Oceanography; Anomaly (physics); Environmental science; Sea surface temperature; Multivariate ENSO index; Geology; La Niña; Physics","score_opus":0.018274832421516077,"score_gpt":0.21193773905869834,"score_spread":0.19366290663718227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979885855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902282,0.000018401055,0.0019629437,0.00029104468,0.00060769747,0.0002205532,0.00012085946,0.000023227725,0.006527122],"genre_scores_gemma":[0.9981788,0.000003149741,0.00091053307,0.00033210553,0.0001356029,3.6181854e-7,0.000021407806,0.000006544684,0.0004114928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972699,0.00013082009,0.0007167963,0.00045473187,0.00078101753,0.0006467144],"domain_scores_gemma":[0.997814,0.00015388464,0.0006231422,0.00031403583,0.00048922264,0.00060574315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021317904,0.000259688,0.0005118623,0.0005116144,0.00025446556,0.00023239803,0.0008586947,0.000047966365,0.0007749563],"category_scores_gemma":[0.00029645136,0.00019178675,0.00013272559,0.000989503,0.00043162997,0.00043203094,0.00027090195,0.0003716701,0.00030017915],"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":[0.0018336868,0.000092059316,0.74037254,0.000022068136,0.000046744794,0.0003149499,0.010140279,0.0042008567,0.0020632662,0.000009904357,0.00013096113,0.24077268],"study_design_scores_gemma":[0.0081164185,0.008742007,0.84869295,0.00032863655,0.00020386663,0.0023771985,0.034932498,0.07994901,0.0024783965,0.0027826165,0.009226094,0.0021702824],"about_ca_topic_score_codex":0.004465109,"about_ca_topic_score_gemma":0.0016775436,"teacher_disagreement_score":0.2386024,"about_ca_system_score_codex":0.0000264925,"about_ca_system_score_gemma":0.0004461528,"threshold_uncertainty_score":0.84852284},"labels":[],"label_agreement":null},{"id":"W3110728926","doi":"10.2989/1814232x.2020.1848925","title":"Towed passive acoustic monitoring complements visual survey methods for Heaviside’s dolphins <i>Cephalorhynchus heavisidii</i> in the Namibian Islands Marine Protected Area","year":2020,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Marine animal studies overview","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":false,"ca_institutions":"Wildlife Conservation Society Canada; University of Victoria","funders":"","keywords":"Human echolocation; Transect; Threatened species; Population; Fishery; Ecology; Geography; Biology; Habitat","score_opus":0.05996961835063844,"score_gpt":0.3483249084051373,"score_spread":0.2883552900544989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110728926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96651167,0.000059457954,0.017383276,0.0045257905,0.00052008464,0.002012795,0.000030296958,0.000040073526,0.0089165745],"genre_scores_gemma":[0.9734037,0.000057563033,0.025688946,0.0005974349,0.00016575542,0.000041708823,0.0000033546728,0.00002009562,0.000021463384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960738,0.00053688005,0.0009305746,0.0005494384,0.0011344277,0.0007749233],"domain_scores_gemma":[0.99769044,0.0008146019,0.00066815136,0.00029015198,0.00019570038,0.00034094186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005322482,0.00032527492,0.00059227145,0.00012695829,0.0004437532,0.00016301902,0.0017265496,0.000040347215,0.00029851828],"category_scores_gemma":[0.0026895446,0.00022571726,0.00014973785,0.0025569012,0.00056113064,0.0005248968,0.0022109454,0.0005003008,0.000008577274],"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":[0.0005364599,0.00030900555,0.71986556,0.00004990135,0.00004878206,0.00007764137,0.0023413196,0.0005138214,0.010103839,0.000011716314,0.00075115816,0.26539078],"study_design_scores_gemma":[0.0011708854,0.0016023803,0.9894775,0.00003293571,0.000041095132,0.000059449485,0.001133095,0.0033504383,0.0009615325,0.0002773892,0.001595329,0.00029797805],"about_ca_topic_score_codex":0.0021026954,"about_ca_topic_score_gemma":0.0014067297,"teacher_disagreement_score":0.26961192,"about_ca_system_score_codex":0.00036496125,"about_ca_system_score_gemma":0.00013105189,"threshold_uncertainty_score":0.9204483},"labels":[],"label_agreement":null},{"id":"W4283727945","doi":"10.2989/1814232x.2022.2080268","title":"Supporting marine spatial planning with an ecosystem model of Algoa Bay, South Africa","year":2022,"lang":"en","type":"article","venue":"African Journal of Marine Science","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":"University of New Brunswick","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Bay; Marine ecosystem; Ecosystem; Geography; Oceanography; Environmental resource management; Environmental science; Ecology; Geology; Biology","score_opus":0.022158243515241656,"score_gpt":0.2542427711505623,"score_spread":0.23208452763532067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283727945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81412476,0.0000014124058,0.0027855763,0.00012005198,0.000067995374,0.00013480116,0.000011869427,0.00001093153,0.18274258],"genre_scores_gemma":[0.99038744,0.0000010423691,0.008770204,0.000026233356,0.000041030187,0.0000064307173,0.000001710014,0.00001566262,0.00075024285],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996311,0.000099151155,0.00060987286,0.00034054424,0.002034246,0.0006051944],"domain_scores_gemma":[0.99838334,0.00005267168,0.0007503821,0.00035851335,0.000096716976,0.00035834918],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029814043,0.00015634813,0.00031537737,0.00024692903,0.00045223508,0.000066712404,0.0014339946,0.000017459884,0.005548567],"category_scores_gemma":[0.00013737967,0.00012349995,0.00006796044,0.0011744786,0.000526819,0.00064375805,0.0033615255,0.00044329808,0.0000029166495],"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":[0.0006294592,0.00024719935,0.8353108,0.00002148222,0.000022039301,0.00021032205,0.006247555,0.08479136,0.0038010953,0.00007372108,0.000116045805,0.06852888],"study_design_scores_gemma":[0.003214712,0.013090753,0.1377231,0.000035718138,0.00010781753,0.0014299585,0.02669413,0.8024514,0.0022846453,0.0027079275,0.008979022,0.0012808216],"about_ca_topic_score_codex":0.00029372357,"about_ca_topic_score_gemma":0.00008986188,"teacher_disagreement_score":0.71766,"about_ca_system_score_codex":0.00024777683,"about_ca_system_score_gemma":0.000323842,"threshold_uncertainty_score":0.9953605},"labels":[],"label_agreement":null},{"id":"W4387341067","doi":"10.2989/1814232x.2023.2245854","title":"Patterns in sightings of ocean sunfishes (Molidae) in the greater Dyer Island ecosystem, Western Cape, South Africa","year":2023,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Ichthyology and Marine Biology","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":"Queen's University","funders":"","keywords":"Carcharias; Geography; Cape; Ecosystem; Habitat; Fishery; Oceanography; Ecology; Geology; Biology; Juvenile; Archaeology","score_opus":0.01229231547877892,"score_gpt":0.21556927811210425,"score_spread":0.20327696263332531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387341067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99083245,0.0000030766748,0.000009713093,0.0006114189,0.00012986628,0.000095446645,0.0000040908512,0.000005075698,0.008308854],"genre_scores_gemma":[0.9995575,0.000006662118,0.000041819465,0.00008855304,0.00003422877,0.0000019105526,5.9010756e-7,0.00000557979,0.00026317514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820906,0.00020196376,0.0005039382,0.00023157407,0.0004173583,0.000436116],"domain_scores_gemma":[0.9992136,0.0001796686,0.00028848124,0.00022033353,0.000027373417,0.00007056306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003481285,0.0001248288,0.0002651473,0.0003061561,0.00007294916,0.000024343084,0.0010251893,0.000046138724,0.00030694882],"category_scores_gemma":[0.00020478925,0.000076137054,0.000054452026,0.0012671441,0.0004151809,0.00024819083,0.00066224125,0.000240692,0.000056982615],"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":[0.000045318633,0.00003420801,0.98965895,0.0000064103483,0.0000031772986,0.000120620854,0.008363929,0.00020303144,0.00075669424,0.000011019286,0.00012147069,0.0006751936],"study_design_scores_gemma":[0.0003707846,0.0002330751,0.996025,0.000019959683,0.0000068911922,0.000117649164,0.002016494,0.000087487155,0.00024840602,0.00027919546,0.0005014719,0.00009357939],"about_ca_topic_score_codex":0.00033627165,"about_ca_topic_score_gemma":0.0019156092,"teacher_disagreement_score":0.008725023,"about_ca_system_score_codex":0.00007077254,"about_ca_system_score_gemma":0.000047821162,"threshold_uncertainty_score":0.3360874},"labels":[],"label_agreement":null},{"id":"W4389685107","doi":"10.2989/1814232x.2023.2271959","title":"Network analysis of the endemic spotted gully shark <i>Triakis megalopterus</i> reveals spatial vulnerability to exploitation in the Western Cape, South Africa","year":2023,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Ichthyology and Marine Biology","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":"Atlantic School of Theology","funders":"Shark Conservation Fund; Save Our Seas Foundation","keywords":"Cape; Vulnerability (computing); Geography; Endemism; Fishery; Archaeology; Biology","score_opus":0.018696795956324595,"score_gpt":0.2522219332435375,"score_spread":0.23352513728721289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389685107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943266,0.000004536342,0.00022675892,0.0017164218,0.00026568613,0.00019363694,0.0000061606574,0.0000072357425,0.0032529775],"genre_scores_gemma":[0.9988584,0.0000041438243,0.00032612655,0.0005604478,0.00006470869,0.000008648514,0.0000013770338,0.000004300425,0.00017183385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751925,0.00046721866,0.0006397424,0.00029613308,0.0006378292,0.00043984991],"domain_scores_gemma":[0.99852973,0.00041125293,0.00045501758,0.00043753517,0.000068423295,0.00009801191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006663604,0.0001299401,0.0003458361,0.00029424965,0.00020769813,0.00002432626,0.0015618833,0.00004894495,0.00021862835],"category_scores_gemma":[0.0009155493,0.00007465186,0.00014274183,0.0069719837,0.00075292203,0.00019769941,0.00096366386,0.00029062256,0.000028444007],"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":[0.00010995842,0.00004046527,0.9678756,0.0000019038807,0.00003077704,0.000008868463,0.005216851,0.01905046,0.0031672001,0.000034302113,0.0007699923,0.003693598],"study_design_scores_gemma":[0.00018259278,0.00017341896,0.9969248,0.0000062895565,0.000106488726,0.000010580916,0.0005175134,0.00031636187,0.00008952976,0.0010333958,0.00055284967,0.00008614127],"about_ca_topic_score_codex":0.00048275816,"about_ca_topic_score_gemma":0.0012732913,"teacher_disagreement_score":0.029049214,"about_ca_system_score_codex":0.000120501965,"about_ca_system_score_gemma":0.00008012552,"threshold_uncertainty_score":0.3349807},"labels":[],"label_agreement":null},{"id":"W4414364222","doi":"10.2989/1814232x.2025.2531955","title":"The movements of adult leerfish <i>Lichia amia</i> in the Breede Estuary, Western Cape, South Africa: insights from acoustic telemetry","year":2025,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Marine and fisheries research","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":"Save Our Seas Foundation; South African Institute for Aquatic Biodiversity; Dalhousie University; National Research Foundation","keywords":"Telemetry; Biotelemetry; Bioacoustics; Sound production","score_opus":0.008716113859278321,"score_gpt":0.2272733419791094,"score_spread":0.21855722811983108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414364222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82630956,0.000021830976,0.00017820779,0.0009783903,0.00017726651,0.0001814831,0.0000042395177,0.0000040048217,0.17214504],"genre_scores_gemma":[0.9981725,0.00004789774,0.0003034733,0.00038170238,0.00004047742,0.0000062808604,4.6208535e-7,0.000006131702,0.0010410578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700063,0.00016047739,0.0006147561,0.00027703444,0.0014950857,0.00045203717],"domain_scores_gemma":[0.9984758,0.0004209594,0.00035337036,0.0005106782,0.00012052815,0.000118663476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012549291,0.00015617376,0.00024628744,0.00018651792,0.0003433355,0.00015783231,0.0026780067,0.0000343321,0.00018267865],"category_scores_gemma":[0.0006383182,0.0000863195,0.00007785,0.0025650018,0.0014932344,0.00032645543,0.0016059235,0.00047942676,0.00000926693],"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":[0.00012557299,0.00020820505,0.94110245,0.0000091850225,0.000029150437,0.000046356756,0.004412369,0.00024841385,0.0047376044,0.00015943781,0.00092641386,0.04799482],"study_design_scores_gemma":[0.0008703404,0.00039793525,0.97638315,0.00003589401,0.000030080802,0.000012453644,0.008805948,0.0009939147,0.00093937485,0.003751089,0.0075852796,0.00019454595],"about_ca_topic_score_codex":0.0016761349,"about_ca_topic_score_gemma":0.0014371672,"teacher_disagreement_score":0.17186297,"about_ca_system_score_codex":0.00014140218,"about_ca_system_score_gemma":0.00018037941,"threshold_uncertainty_score":0.5501884},"labels":[],"label_agreement":null},{"id":"W4416611325","doi":"10.2989/1814232x.2025.2570313","title":"Comparing seismic survey mitigation regulations: lessons for South Africa from international frameworks","year":2025,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Legal Issues in South Africa","field":"Social Sciences","cited_by":0,"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":"","keywords":"Seismic survey; Survey data collection; Disaster mitigation","score_opus":0.04446905463044103,"score_gpt":0.3494937877881412,"score_spread":0.3050247331577002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416611325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4690386,0.00047725602,0.19261709,0.030625843,0.009345278,0.0008554491,0.00015003454,0.00012918703,0.29676127],"genre_scores_gemma":[0.97875935,0.00001064163,0.019616533,0.00012188569,0.00033991958,0.000006837569,0.0000065860518,0.000007226852,0.0011310424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976178,0.00021939297,0.0005480329,0.00028381558,0.00094801583,0.00038294052],"domain_scores_gemma":[0.9964915,0.0011015586,0.0005586,0.00023989745,0.0014185075,0.00018994344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041863224,0.00011976635,0.0002657833,0.00046667128,0.00076865824,0.0003999997,0.001551288,0.00010775914,0.00008132412],"category_scores_gemma":[0.0070590423,0.000115097326,0.00010953905,0.0017260861,0.0011497951,0.0007435812,0.00034363067,0.0004167637,0.000005866845],"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":[0.000518861,0.0003680085,0.5231388,0.000018758285,0.00028899574,0.0000139071235,0.27963227,0.0090205865,0.0004503487,0.11498227,0.007394616,0.064172566],"study_design_scores_gemma":[0.0017817677,0.00015116815,0.6503257,0.00033985983,0.00014836386,0.0000024718888,0.030450037,0.0244022,0.00038192538,0.13281082,0.15858655,0.00061910873],"about_ca_topic_score_codex":0.00068046834,"about_ca_topic_score_gemma":0.00031277532,"teacher_disagreement_score":0.50972074,"about_ca_system_score_codex":0.0004051624,"about_ca_system_score_gemma":0.0010874291,"threshold_uncertainty_score":0.8450843},"labels":[],"label_agreement":null},{"id":"W7116677764","doi":"10.2989/1814232x.2025.2574371","title":"Unravelling the mystery of a unique giant trevally <i>Caranx ignobilis</i> aggregation in the Mtentu Estuary, Pondoland Marine Protected Area, South Africa","year":2025,"lang":"en","type":"article","venue":"African Journal of Marine Science","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":"Save Our Seas Foundation; South African Institute for Aquatic Biodiversity; Dalhousie University; National Research Foundation","keywords":"Marine protected area; Marine invertebrates; Indian ocean; Biodiversity","score_opus":0.009527416867141383,"score_gpt":0.21377411832307766,"score_spread":0.20424670145593626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116677764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9505186,0.000041919324,0.00058408343,0.0021295454,0.00017049206,0.00051369,0.0000019823392,0.00000759432,0.046032112],"genre_scores_gemma":[0.99826634,0.000029084618,0.0007995441,0.00018401598,0.000024110988,0.000011134884,8.2409485e-7,0.000004411367,0.0006805162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796766,0.00037954596,0.0005913825,0.00025722745,0.00044833904,0.00035583088],"domain_scores_gemma":[0.99866533,0.00037039915,0.0004592155,0.0003634991,0.00008440578,0.000057164223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004250535,0.00016196308,0.00028591053,0.00022881095,0.0002143504,0.00003486409,0.0013469708,0.000059443802,0.00025717058],"category_scores_gemma":[0.0006428859,0.000084063875,0.00009068836,0.0017532096,0.0014102354,0.00020924544,0.0007913282,0.00042774068,0.000008122443],"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":[0.0021789726,0.00072933943,0.67597675,0.00008990211,0.0001124642,0.00023614825,0.018061245,0.0048900987,0.06297886,0.0016989735,0.0007570253,0.23229022],"study_design_scores_gemma":[0.0018332569,0.0013956925,0.9728895,0.00012734195,0.00011870724,0.00041648047,0.002773729,0.001744911,0.00701123,0.00798652,0.0034030024,0.00029964975],"about_ca_topic_score_codex":0.0003683741,"about_ca_topic_score_gemma":0.00024113255,"teacher_disagreement_score":0.29691273,"about_ca_system_score_codex":0.000111707544,"about_ca_system_score_gemma":0.00019474672,"threshold_uncertainty_score":0.5196071},"labels":[],"label_agreement":null},{"id":"W7116719057","doi":"10.2989/1814232x.2025.2558738","title":"Comparing the activity of exploited and unexploited populations of a reef-dwelling seabream, <i>Chrysoblephus laticeps</i> , during an extreme upwelling and cold-spell event","year":2025,"lang":"en","type":"article","venue":"African Journal of Marine Science","topic":"Marine and fisheries research","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":"Save Our Seas Foundation; Department of Science and Technology, Ministry of Science and Technology, India; South African Institute for Aquatic Biodiversity; Dalhousie University; National Research Foundation","keywords":"Upwelling; Event (particle physics); Population; Climate change","score_opus":0.0438846660679922,"score_gpt":0.27275824598387316,"score_spread":0.22887357991588098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116719057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838028,0.000016844344,0.0010665614,0.00029398053,0.00004448073,0.0001425703,0.000001220094,0.0000049279515,0.01462661],"genre_scores_gemma":[0.99690795,0.00008873028,0.0027867022,0.000015603931,0.000013839216,0.0000011304633,2.51911e-7,0.000005842902,0.00017994258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827504,0.00011241141,0.00047768507,0.0002340062,0.0006270512,0.0002737825],"domain_scores_gemma":[0.9989139,0.000165838,0.00039320308,0.00027479982,0.00009638157,0.00015589714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015625517,0.000119434946,0.00028311595,0.00021936945,0.00026230424,0.00006598097,0.000493082,0.000025387952,0.00010484838],"category_scores_gemma":[0.00018476458,0.00009013317,0.000044845874,0.0013531875,0.0010337183,0.0006247428,0.0009104857,0.0002469787,3.783668e-7],"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":[0.00014760335,0.00013096593,0.8507477,0.00004932011,0.000016296794,0.000006246791,0.0007379155,0.0025361672,0.13261111,0.00029371766,0.000008766499,0.012714198],"study_design_scores_gemma":[0.00088083,0.00030931566,0.90270036,0.000106803374,0.000060367445,0.00005301033,0.0028071299,0.06413232,0.027398365,0.0010933391,0.0002616654,0.00019651256],"about_ca_topic_score_codex":0.0010925846,"about_ca_topic_score_gemma":0.0001902745,"teacher_disagreement_score":0.10521275,"about_ca_system_score_codex":0.000080157086,"about_ca_system_score_gemma":0.000064638814,"threshold_uncertainty_score":0.38087785},"labels":[],"label_agreement":null}]}