{"meta":{"query_hash":"a86c3dfdffa0","filters":{"venue":"Movebank"},"cohort_total":49,"direct_labels_cover":0,"predictions_cover":49,"exported":49,"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/a86c3dfdffa0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Movebank"},"results":[{"id":"W2293524909","doi":"10.5441/002/edbt.2015.49","title":"WAVEGUIDE: Evaluating SPARQL Property Path Queries","year":2015,"lang":"en","type":"article","venue":"Movebank","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"SPARQL; Computer science; Automaton; Property (philosophy); Graph; Path (computing); RDF; Waveguide; Theoretical computer science; Information retrieval; Programming language; Physics; Semantic Web; Optics","score_opus":0.12731089438710572,"score_gpt":0.3217526883773843,"score_spread":0.19444179399027858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293524909","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":[0.060035218,0.0005044996,0.7993711,0.0009322997,0.00016225755,0.0003700735,0.008406945,0.11641311,0.013804392],"genre_scores_gemma":[0.39810586,0.00059725664,0.5497787,0.00072812266,0.00007744992,0.00044622555,0.02151652,0.01720464,0.011545301],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99629563,0.0009424225,0.00029938144,0.0006187012,0.001630545,0.00021324326],"domain_scores_gemma":[0.9967416,0.0015937181,0.00014631852,0.0008481174,0.0005854402,0.00008489063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035646136,0.0010816848,0.0008040334,0.00096836797,0.00071069103,0.0025238527,0.0016438906,0.0009213875,0.008950212],"category_scores_gemma":[0.008861876,0.00084861106,0.0011347434,0.0013364473,0.0010884969,0.006537521,0.0023272156,0.0013237227,0.0018568132],"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":[0.0024906201,0.0006470841,0.010661416,0.0018821589,0.00054241024,0.00092614477,0.0017765725,0.15283474,0.06990272,0.16130261,0.18173039,0.4153032],"study_design_scores_gemma":[0.00024239483,0.00019082008,0.001618126,0.000107464446,0.0001033919,0.00027332437,0.00075574743,0.77664024,0.077040754,0.07568663,0.06723148,0.000109581684],"about_ca_topic_score_codex":0.011536303,"about_ca_topic_score_gemma":0.015698807,"teacher_disagreement_score":0.011536303,"about_ca_system_score_codex":0.0015622097,"about_ca_system_score_gemma":0.0015972393,"threshold_uncertainty_score":0.02994144},"labels":[],"label_agreement":null},{"id":"W2294688766","doi":"10.5441/002/edbt.2014.81","title":"Business-Intelligence Queries with Order Dependencies in DB2","year":2014,"lang":"en","type":"article","venue":"Movebank","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Computer science; Functional dependency; Dependency (UML); Query optimization; Online analytical processing; Exploit; Data integrity; Theoretical computer science; Data mining; Relational database; Data warehouse; Database; Artificial intelligence","score_opus":0.007416451325730401,"score_gpt":0.20796420647002162,"score_spread":0.2005477551442912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294688766","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":[0.07150158,0.00177514,0.71159625,0.002536674,0.00024120531,0.00071057386,0.029054081,0.15271449,0.029870093],"genre_scores_gemma":[0.26991722,0.0011850051,0.6393968,0.00191892,0.00015613933,0.0008800323,0.06429668,0.012075926,0.01017332],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99075454,0.0015705182,0.0010678588,0.0016177677,0.004446959,0.0005423139],"domain_scores_gemma":[0.9945648,0.0021389374,0.00035953597,0.0018495495,0.00082878565,0.00025848168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045312117,0.0023005414,0.00147502,0.0021067746,0.0018310205,0.007261616,0.004534801,0.0015780359,0.006351278],"category_scores_gemma":[0.010205933,0.0023423645,0.0021510473,0.0057737445,0.0020198876,0.011996663,0.0041936766,0.0036016414,0.0025803875],"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":[0.004767509,0.0013436596,0.017875697,0.0020779415,0.00047252342,0.0017830466,0.0034869735,0.10681895,0.040342256,0.2836576,0.22909519,0.30827862],"study_design_scores_gemma":[0.0010383341,0.00028238376,0.0049943337,0.00024004826,0.00023018914,0.0011540265,0.0009530153,0.39624316,0.08544061,0.16711378,0.34194058,0.00036948378],"about_ca_topic_score_codex":0.030228583,"about_ca_topic_score_gemma":0.026710374,"teacher_disagreement_score":0.030228583,"about_ca_system_score_codex":0.0033901234,"about_ca_system_score_gemma":0.004019684,"threshold_uncertainty_score":0.060105264},"labels":[],"label_agreement":null},{"id":"W2401457476","doi":"10.5441/002/edbt.2015.17","title":"Reaching a desired set of users via different paths: an online advertising technique on micro-blogging platforms","year":2015,"lang":"en","type":"article","venue":"Movebank","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","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":"University of Toronto","funders":"","keywords":"Computer science; Online advertising; Bidding; Categorization; Social media; Set (abstract data type); Microblogging; World Wide Web; Information retrieval; The Internet; Business; Artificial intelligence; Marketing","score_opus":0.05513256519267921,"score_gpt":0.2920389246882903,"score_spread":0.2369063594956111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401457476","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":[0.50223696,0.0013213616,0.47897133,0.0028344619,0.00009973581,0.00059801264,0.0010497811,0.002452448,0.010435859],"genre_scores_gemma":[0.71342534,0.00028025435,0.2739011,0.00029589116,0.0001397381,0.0002164496,0.001076961,0.00018861504,0.0104756225],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854916,0.0004938756,0.00007374348,0.00046394014,0.0002579848,0.00016128777],"domain_scores_gemma":[0.99552464,0.0029234807,0.00041710818,0.0005901649,0.0003462182,0.00019841784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023223946,0.001135357,0.0010828736,0.0021733802,0.0015360928,0.0014266906,0.0016216116,0.0017298969,0.0022465312],"category_scores_gemma":[0.0059803897,0.00047443126,0.0008095449,0.0014568099,0.0008335428,0.003555603,0.0015683807,0.0014799344,0.0009768872],"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":[0.0023288426,0.001753016,0.0380951,0.00052822876,0.00032942859,0.0009363445,0.003371337,0.13228936,0.028037444,0.041539833,0.029306421,0.7214846],"study_design_scores_gemma":[0.00008377764,0.00017732666,0.003627413,0.000019180101,0.000070845315,0.0004590588,0.00047469581,0.9599771,0.00701847,0.01944085,0.008624538,0.000026689877],"about_ca_topic_score_codex":0.004969318,"about_ca_topic_score_gemma":0.008277029,"teacher_disagreement_score":0.004969318,"about_ca_system_score_codex":0.0012023299,"about_ca_system_score_gemma":0.00086231314,"threshold_uncertainty_score":0.012282133},"labels":[],"label_agreement":null},{"id":"W2405736458","doi":"10.5441/002/edbt.2016.10","title":"Providing Serializability for Pregel-like Graph Processing Systems","year":2016,"lang":"en","type":"article","venue":"Movebank","topic":"Graph Theory and Algorithms","field":"Computer 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":"University of Waterloo","funders":"","keywords":"Serializability; Computer science; Two-phase locking; Correctness; Distributed computing; Graph; Theoretical computer science; Parallel computing; Transaction processing; Algorithm; Online transaction processing; Programming language; Distributed transaction; Database transaction","score_opus":0.016299894915378678,"score_gpt":0.2334018277599278,"score_spread":0.21710193284454912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405736458","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":[0.026176766,0.00006904764,0.9638348,0.00022566254,0.000057494333,0.000088415574,0.000046091405,0.0050975378,0.004404186],"genre_scores_gemma":[0.46283543,0.00022332623,0.52809376,0.00035462662,0.00010911416,0.00026762727,0.00038322934,0.0013734824,0.0063594696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979735,0.0005885884,0.00017346253,0.00041666557,0.00060705334,0.0002407113],"domain_scores_gemma":[0.9917938,0.002306395,0.0006360947,0.004169469,0.00085908663,0.00023519507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024878737,0.0006798575,0.00056169095,0.000805271,0.0010610876,0.0015775304,0.0016798363,0.0007446794,0.004414514],"category_scores_gemma":[0.009444182,0.00063842244,0.0005616658,0.0007741208,0.0017015524,0.0040426403,0.003322736,0.0018785264,0.0012779343],"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":[0.0010406057,0.00050572446,0.0051105283,0.0005733548,0.00017045045,0.0006883814,0.0022098366,0.14065656,0.13974859,0.43325058,0.014750095,0.26129523],"study_design_scores_gemma":[0.00023960792,0.00042521834,0.0012006841,0.00008393673,0.0001267055,0.0005299435,0.00042365713,0.52008575,0.14065126,0.29542634,0.04073054,0.00007647316],"about_ca_topic_score_codex":0.0010362762,"about_ca_topic_score_gemma":0.0023481224,"teacher_disagreement_score":0.004414514,"about_ca_system_score_codex":0.0007137106,"about_ca_system_score_gemma":0.0013420051,"threshold_uncertainty_score":0.014768064},"labels":[],"label_agreement":null},{"id":"W2465882338","doi":"10.5441/001/1.1rc3hj8d","title":"Data from: Movement of long-tailed ducks marked on the Yukon-Kuskokwim Delta, Alaska 1998-2000 (data from Petersen et al. 2003)","year":2016,"lang":"en","type":"article","venue":"Movebank","topic":"Fish Ecology and Management Studies","field":"Environmental Science","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":"Delta; Geography; Engineering","score_opus":0.03408978211424463,"score_gpt":0.25231815604190483,"score_spread":0.2182283739276602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465882338","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88310826,0.00033192802,0.00038527686,0.000024828805,0.000029784766,0.00007207636,0.10940501,0.000072257906,0.006570662],"genre_scores_gemma":[0.8331282,0.0004971375,0.0017663698,0.000052283547,0.000015186807,0.000296654,0.15596534,0.000021687645,0.008257168],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99990916,0.0000065861514,0.000018915394,0.000025625499,0.000027602538,0.00001203507],"domain_scores_gemma":[0.9995566,0.000032823285,0.00015399104,0.000031317206,0.00017555614,0.000049825885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016433347,0.00026062466,0.00016574046,0.00092914316,0.00031885837,0.0002451658,0.00027665307,0.00016770582,0.0037148583],"category_scores_gemma":[0.00032427476,0.00014432397,0.00014651705,0.0008133383,0.00009755704,0.00017219056,0.00025790138,0.00015912813,0.0014586832],"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":[0.00017811218,0.000052955624,0.9739233,0.00020833257,0.00007150622,0.00018164747,0.0006177498,0.00034686283,0.0014042855,0.000028087718,0.008565091,0.0144220665],"study_design_scores_gemma":[0.0000072479284,0.000033954664,0.9936253,0.000024240422,0.000020980176,0.000057429606,0.00027849982,0.0000877778,0.00021526031,0.000006394152,0.0056392853,0.0000036429512],"about_ca_topic_score_codex":0.08288942,"about_ca_topic_score_gemma":0.23468865,"teacher_disagreement_score":0.08288942,"about_ca_system_score_codex":0.00033484536,"about_ca_system_score_gemma":0.00039591172,"threshold_uncertainty_score":0.16481394},"labels":[],"label_agreement":null},{"id":"W2789592939","doi":"10.5441/002/edbt.2018.87","title":"FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies","year":2018,"lang":"en","type":"article","venue":"Movebank","topic":"Data Quality and Management","field":"Decision Sciences","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":"Ontario Tech University; University of Waterloo; McMaster University","funders":"","keywords":"Computer science; Ontology; Functional dependency; Dependency theory (database theory); Information retrieval; Data mining; Relational database","score_opus":0.4593973220632835,"score_gpt":0.4301787023006636,"score_spread":0.029218619762619913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789592939","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":[0.0058566923,0.000546157,0.793736,0.00065578264,0.00036533983,0.00040592928,0.029997222,0.16477121,0.003665711],"genre_scores_gemma":[0.0582063,0.0005394282,0.84378207,0.0005371999,0.000100727775,0.000560654,0.07616732,0.016644102,0.003462159],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99524564,0.0008593911,0.0005908396,0.0012067895,0.0017797234,0.0003175626],"domain_scores_gemma":[0.9893194,0.0034435624,0.00055869063,0.0052356855,0.0012622953,0.0001804309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055012833,0.0020884532,0.0015702201,0.005539618,0.0017722347,0.0045005777,0.0027080574,0.0015728036,0.011802543],"category_scores_gemma":[0.024360634,0.0019168613,0.0032529242,0.004010705,0.0010780452,0.0061423345,0.007785209,0.0025380792,0.0048215766],"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":[0.00089838303,0.0003731871,0.011974604,0.0035417222,0.0010934509,0.00080034527,0.0016943213,0.022228474,0.01356815,0.058768418,0.3709923,0.5140667],"study_design_scores_gemma":[0.00022576173,0.00015517938,0.0065093804,0.000978058,0.0005989723,0.0009690012,0.0009782189,0.21277164,0.05560252,0.10612508,0.6147737,0.00031239795],"about_ca_topic_score_codex":0.011881907,"about_ca_topic_score_gemma":0.016876673,"teacher_disagreement_score":0.011881907,"about_ca_system_score_codex":0.0011898136,"about_ca_system_score_gemma":0.0044381265,"threshold_uncertainty_score":0.039483488},"labels":[],"label_agreement":null},{"id":"W2791941169","doi":"10.5441/002/edbt.2018.52","title":"Point-of-Interest Recommendation Using Heterogeneous Link Prediction","year":2018,"lang":"en","type":"article","venue":"Movebank","topic":"Advanced Graph Neural Networks","field":"Computer 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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Link (geometry); Point (geometry); Point of interest; Data mining; Artificial intelligence; Computer network; Mathematics","score_opus":0.0692021735810043,"score_gpt":0.2914990192153362,"score_spread":0.2222968456343319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791941169","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":[0.12054094,0.006773153,0.84233147,0.0017398046,0.00085367943,0.00029126546,0.008424462,0.010170193,0.008875072],"genre_scores_gemma":[0.71139246,0.0017499207,0.2542421,0.00063783,0.00061344134,0.00020115165,0.013709741,0.0004451705,0.01700824],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897265,0.00017210972,0.000054854558,0.0004471609,0.0002543132,0.000098807825],"domain_scores_gemma":[0.9981499,0.00087067427,0.00011160425,0.00042622842,0.00034482285,0.000096825395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007394549,0.0014642719,0.0021948582,0.004242208,0.00073819497,0.0013381202,0.0030755524,0.002826915,0.0046474985],"category_scores_gemma":[0.004971365,0.0007151019,0.0012847908,0.004829797,0.00035252178,0.003457021,0.0011599725,0.002249484,0.0039687245],"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":[0.0015683657,0.0016156205,0.015767494,0.0005417827,0.0008935516,0.0006524818,0.00016223098,0.15599936,0.010841602,0.007290501,0.08674848,0.71791846],"study_design_scores_gemma":[0.00003073023,0.000060881954,0.0009553819,0.000017684673,0.000093125534,0.00007988614,0.000019137125,0.99118125,0.0014819741,0.004170243,0.0018887179,0.00002097753],"about_ca_topic_score_codex":0.021044943,"about_ca_topic_score_gemma":0.04999513,"teacher_disagreement_score":0.021044943,"about_ca_system_score_codex":0.0006564855,"about_ca_system_score_gemma":0.0007934607,"threshold_uncertainty_score":0.041844904},"labels":[],"label_agreement":null},{"id":"W2926642061","doi":"10.5441/002/edbt.2019.27","title":"BionicDB: Fast and Power-Efficient OLTP on FPGA","year":2019,"lang":"en","type":"article","venue":"Movebank","topic":"Cloud Computing and Resource Management","field":"Computer 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 Toronto","funders":"","keywords":"Online transaction processing; Field-programmable gate array; Power (physics); Computer science; Embedded system; Transaction processing; Database transaction; Database","score_opus":0.006011829701991751,"score_gpt":0.2009206846901087,"score_spread":0.19490885498811697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926642061","genre_codex":"software","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":[0.20207731,0.0077256667,0.18506008,0.0015207545,0.0027181006,0.0008229177,0.015252568,0.47788757,0.106935024],"genre_scores_gemma":[0.79433346,0.0014461897,0.11278895,0.0011584987,0.00029377683,0.00036351505,0.019669717,0.007994445,0.061951425],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993678,0.000069538924,0.00004731062,0.00014699323,0.00021054002,0.00015786126],"domain_scores_gemma":[0.99958855,0.000092353665,0.000032585795,0.00012636681,0.000096945536,0.000063227315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043210082,0.0012816864,0.0005763307,0.001157686,0.00059756625,0.002272828,0.0016606752,0.000503654,0.034135323],"category_scores_gemma":[0.0011918725,0.0005435878,0.0002921985,0.0011702295,0.00039379473,0.0017139904,0.00111855,0.00087867636,0.0071472437],"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":[0.004621277,0.0004847414,0.0032167705,0.0010058455,0.0002633363,0.0006638333,0.00029597167,0.013640109,0.061174136,0.014247167,0.46065265,0.43973413],"study_design_scores_gemma":[0.0027172833,0.001821828,0.0045421324,0.00037391254,0.00026012037,0.0009890533,0.0004958941,0.3697806,0.29062128,0.014655482,0.31342134,0.00032113504],"about_ca_topic_score_codex":0.005454945,"about_ca_topic_score_gemma":0.0071764537,"teacher_disagreement_score":0.034135323,"about_ca_system_score_codex":0.001136018,"about_ca_system_score_gemma":0.0012550827,"threshold_uncertainty_score":0.114193976},"labels":[],"label_agreement":null},{"id":"W2929334204","doi":"10.5441/002/edbt.2019.96","title":"Fast Truss Decomposition in Large-scale Probabilistic Graphs","year":2019,"lang":"en","type":"article","venue":"Movebank","topic":"Graph Theory and Algorithms","field":"Computer 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":"University of Victoria","funders":"","keywords":"Truss; Probabilistic logic; Decomposition; Computer science; Scale (ratio); Mathematical optimization; Theoretical computer science; Mathematics; Artificial intelligence; Structural engineering; Engineering; Physics","score_opus":0.004594679837001494,"score_gpt":0.2224177167571918,"score_spread":0.2178230369201903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929334204","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":[0.033351395,0.0002782765,0.9603362,0.0003032445,0.000055085748,0.00007393775,0.00050602586,0.002008709,0.0030870335],"genre_scores_gemma":[0.32822293,0.00041716424,0.6556738,0.00015446328,0.00006454542,0.00016667349,0.001984605,0.0010653444,0.012250438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99951506,0.00010509066,0.00001981711,0.00014630047,0.00014856682,0.00006523273],"domain_scores_gemma":[0.9978398,0.00095031364,0.00020545242,0.0005705086,0.00028669304,0.00014720303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064602686,0.0010910664,0.0013615057,0.0019007166,0.00084564014,0.0013064115,0.0019074796,0.001633152,0.009486807],"category_scores_gemma":[0.004795693,0.0010584646,0.0012079846,0.001766781,0.00084843155,0.0036729889,0.0022215587,0.0018755721,0.002534476],"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":[0.00031438385,0.00015736028,0.0015457834,0.0005328522,0.00014019625,0.0004120271,0.00045372455,0.5595476,0.014580895,0.14051059,0.022281425,0.2595232],"study_design_scores_gemma":[0.000014138916,0.000018298722,0.00025570174,0.000016457807,0.000013188526,0.00005660375,0.00006138925,0.89983296,0.0013982173,0.09628674,0.0020377962,0.000008554759],"about_ca_topic_score_codex":0.00550708,"about_ca_topic_score_gemma":0.011310986,"teacher_disagreement_score":0.009486807,"about_ca_system_score_codex":0.00091441156,"about_ca_system_score_gemma":0.0008044319,"threshold_uncertainty_score":0.031736493},"labels":[],"label_agreement":null},{"id":"W2934771417","doi":"10.5441/002/edbt.2019.26","title":"A Six-dimensional Analysis of In-memory Aggregation","year":2019,"lang":"en","type":"article","venue":"Movebank","topic":"Advanced Database Systems and Queries","field":"Computer 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":"University of New Brunswick","funders":"","keywords":"Computer science","score_opus":0.008031022054361662,"score_gpt":0.23317061521194016,"score_spread":0.2251395931575785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2934771417","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":[0.31774664,0.0031104528,0.6397117,0.002252963,0.00048690898,0.00013703089,0.0023381107,0.0033659432,0.03085032],"genre_scores_gemma":[0.8703443,0.000971971,0.11478115,0.00024381789,0.00038317428,0.00012908959,0.0017649548,0.00039972004,0.010981891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982343,0.00039475295,0.000099874254,0.00017548566,0.0007940319,0.00030155905],"domain_scores_gemma":[0.9957093,0.0015482964,0.00033154432,0.0010480054,0.0011248669,0.00023800413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016436935,0.00073383155,0.00081703346,0.0025640079,0.0012914274,0.0037005926,0.0013116003,0.00057463336,0.008549834],"category_scores_gemma":[0.009414635,0.00030741817,0.0007673205,0.0033080915,0.00082955364,0.0035676584,0.0017572523,0.0015372026,0.0011937523],"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":[0.0011415387,0.0006628597,0.016080808,0.00028193896,0.00016484295,0.00050117227,0.00092258136,0.13280235,0.013973423,0.58235145,0.03218118,0.21893586],"study_design_scores_gemma":[0.00001702148,0.000071177485,0.004400935,0.000019531051,0.00004408347,0.00017295247,0.00021870226,0.8979283,0.0052832756,0.08511417,0.0066905757,0.000039239734],"about_ca_topic_score_codex":0.0028821526,"about_ca_topic_score_gemma":0.0016816877,"teacher_disagreement_score":0.008549834,"about_ca_system_score_codex":0.0011621735,"about_ca_system_score_gemma":0.0008263269,"threshold_uncertainty_score":0.028602064},"labels":[],"label_agreement":null},{"id":"W2967081353","doi":"10.5441/001/1.7vr1k987","title":"Data from: Wolf ecology and caribou-primary prey-wolf spatial relationships in low productivity peatland complexes in northeastern Alberta","year":2019,"lang":"en","type":"article","venue":"Movebank","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":5,"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":"Ecology; Predation; Geography; Productivity; Peat; Biology","score_opus":0.03388254696287822,"score_gpt":0.21003679814232037,"score_spread":0.17615425117944217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967081353","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973533,0.000114538525,0.000056874418,0.000018135317,0.000001664126,0.000005993102,0.0014789515,0.000007056356,0.00096344703],"genre_scores_gemma":[0.9935601,0.00014173411,0.00028853433,0.000013879952,0.000001934593,0.000017941005,0.003653308,0.0000035679554,0.0023191376],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982893,0.000015939557,0.000014592879,0.00003287653,0.00006448587,0.000043183907],"domain_scores_gemma":[0.9990852,0.00010774658,0.0002148569,0.000044967313,0.00031797946,0.00022927414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022447179,0.00014116414,0.0001447653,0.0013543417,0.00065767404,0.0005651669,0.00041031386,0.00014031825,0.0013159058],"category_scores_gemma":[0.0007213459,0.00012995051,0.000117967225,0.0011745885,0.0002735427,0.00012762488,0.0003652909,0.0001288005,0.00022610559],"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":[0.000042181535,0.000015694694,0.9946531,0.000013317881,0.000016820406,0.00007098722,0.000629966,0.000094313495,0.00037629402,0.00003141339,0.00051478104,0.0035411182],"study_design_scores_gemma":[0.0000017353558,0.0000053311396,0.99873763,0.0000050637177,0.000005087169,0.000030238847,0.0005252532,0.00006154944,0.00005506601,0.000004837311,0.0005670011,0.0000012500849],"about_ca_topic_score_codex":0.84001845,"about_ca_topic_score_gemma":0.9612606,"teacher_disagreement_score":0.15998155,"about_ca_system_score_codex":0.0024480624,"about_ca_system_score_gemma":0.001629578,"threshold_uncertainty_score":0.32184738},"labels":[],"label_agreement":null},{"id":"W2980090161","doi":"10.18148/hs/2019.v3i5.25","title":"Patterns for differential object marking in the history of Romanian","year":2018,"lang":"en","type":"article","venue":"Movebank","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":10,"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":"Clitic; Romanian; Object (grammar); Linguistics; Phrase; Differential (mechanical device); Transition (genetics); Artificial intelligence; Mathematics; Computer science; Physics; Philosophy; Chemistry","score_opus":0.03533117801993131,"score_gpt":0.2342653650343671,"score_spread":0.19893418701443577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980090161","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":[0.74107075,0.0025128224,0.01006031,0.001245585,0.000064356595,0.000028750173,0.00018325797,0.00012064124,0.24471354],"genre_scores_gemma":[0.9945115,0.00022862582,0.0008055564,0.000038572773,0.000016205791,0.000006498295,0.000049796534,0.000052220275,0.004291007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984862,0.00058665476,0.000111294445,0.0003507654,0.00024332784,0.0002217819],"domain_scores_gemma":[0.9992518,0.00033685207,0.00012463621,0.0001626096,0.00008843832,0.00003576845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016594194,0.00015603591,0.00030873634,0.002365739,0.0022354363,0.0023543246,0.0005480144,0.00040635417,0.005758084],"category_scores_gemma":[0.0032721097,0.00038083747,0.00017871993,0.0028795814,0.005286512,0.0031722032,0.0025983378,0.00121735,0.00049270387],"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":[0.00019799458,0.000024234392,0.016773123,0.00024499878,0.00003080624,0.0009646555,0.14861864,0.00046915578,0.0079874545,0.722286,0.0012016579,0.10120129],"study_design_scores_gemma":[0.00007454235,0.00022885045,0.24461827,0.00050908985,0.00007259453,0.004669397,0.059016157,0.0018348352,0.013177409,0.14183398,0.53376263,0.00020234914],"about_ca_topic_score_codex":0.005239654,"about_ca_topic_score_gemma":0.009909154,"teacher_disagreement_score":0.005758084,"about_ca_system_score_codex":0.0030791627,"about_ca_system_score_gemma":0.000624237,"threshold_uncertainty_score":0.022340953},"labels":[],"label_agreement":null},{"id":"W3012019237","doi":"10.5441/001/1.3833b9n1","title":"Data from: Seasonal movements of Gyrfalcons Falco rusticolus include extensive periods at sea [Northwest Greenland]","year":2020,"lang":"en","type":"article","venue":"Movebank","topic":"Marine and environmental studies","field":"Earth and Planetary 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":"Geography; Oceanography; Physical geography; Geology; Climatology","score_opus":0.04946361193069503,"score_gpt":0.23173212448135025,"score_spread":0.1822685125506552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012019237","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98105675,0.00016147408,0.00026097888,0.000044421762,0.000011103556,0.000036092842,0.013764116,0.000050292598,0.0046148114],"genre_scores_gemma":[0.9615943,0.0002920225,0.0011290081,0.00010352056,0.000016134793,0.00014270055,0.03156969,0.000025348392,0.0051271715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992514,0.000008986288,0.000008459245,0.000019195244,0.000020563524,0.000017585726],"domain_scores_gemma":[0.9995022,0.00004961133,0.00021388043,0.000037002777,0.00012720707,0.00007001418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001403758,0.0002869925,0.00014070171,0.0009279639,0.00033530762,0.00019308647,0.00022753248,0.0001338391,0.004469025],"category_scores_gemma":[0.00030921385,0.000081500206,0.00010205626,0.00082676526,0.00017782328,0.00013745016,0.00020046768,0.000116935735,0.0009567919],"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":[0.00027217576,0.000048615457,0.9558881,0.00010733734,0.000060307448,0.00041145761,0.0010075043,0.00023355275,0.0041960552,0.000044053424,0.0062974785,0.031433344],"study_design_scores_gemma":[0.0000038586104,0.000032760487,0.9950617,0.000012625621,0.000009497909,0.000067682864,0.00027764533,0.00005333581,0.00023074527,0.0000065528598,0.0042407843,0.0000027600872],"about_ca_topic_score_codex":0.0779048,"about_ca_topic_score_gemma":0.29047954,"teacher_disagreement_score":0.0779048,"about_ca_system_score_codex":0.0004078026,"about_ca_system_score_gemma":0.0003048396,"threshold_uncertainty_score":0.1549027},"labels":[],"label_agreement":null},{"id":"W3013722319","doi":"10.5441/002/edbt.2020.52","title":"Efficient Enumeration of Four Node Graphlets at Trillion-Scale","year":2020,"lang":"en","type":"article","venue":"Movebank","topic":"Graph Labeling and Dimension Problems","field":"Computer 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":"University of Victoria","funders":"","keywords":"Enumeration; Computer science; Node (physics); Scale (ratio); Theoretical computer science; Mathematics; Combinatorics; Physics","score_opus":0.02019951112302901,"score_gpt":0.2071172790414876,"score_spread":0.1869177679184586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013722319","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":[0.18211877,0.000949389,0.7130075,0.005991643,0.0004831579,0.00059922406,0.010964381,0.021944363,0.06394154],"genre_scores_gemma":[0.33109358,0.00029017948,0.62298125,0.0010039535,0.00010169553,0.0005201012,0.013723036,0.0035189104,0.026767263],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998447,0.00037899605,0.000083929604,0.00045602326,0.0003307144,0.0003032879],"domain_scores_gemma":[0.9955088,0.002225385,0.00018955354,0.0014279769,0.00035543597,0.00029286675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008619073,0.0012139967,0.0017861683,0.0014639449,0.0019511787,0.0041269637,0.0037621402,0.0027742842,0.03532813],"category_scores_gemma":[0.008038437,0.0009852645,0.0016463506,0.0036334447,0.0014068687,0.007390222,0.003894201,0.0027764444,0.009475916],"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":[0.0014776688,0.0007657945,0.003082766,0.0013236898,0.00014315064,0.00045495955,0.0014144559,0.111117095,0.020365003,0.19512792,0.16497596,0.49975145],"study_design_scores_gemma":[0.00036831794,0.00017983331,0.0011088998,0.00012127641,0.000098401266,0.00021321687,0.00092797296,0.5628573,0.010731828,0.3938066,0.029527364,0.000059023612],"about_ca_topic_score_codex":0.0062742685,"about_ca_topic_score_gemma":0.018831098,"teacher_disagreement_score":0.03532813,"about_ca_system_score_codex":0.0023306157,"about_ca_system_score_gemma":0.0028343094,"threshold_uncertainty_score":0.11818433},"labels":[],"label_agreement":null},{"id":"W3041670393","doi":"10.5441/001/1.282vr7kd","title":"Data from: Study \"Herring Gulls (Larus Argentatus); Ronconi; Brier Island, Canada\"","year":2020,"lang":"en","type":"article","venue":"Movebank","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":1,"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":"Larus; Herring; Herring gull; Geography; Fishery; Biology; Fish <Actinopterygii>","score_opus":0.08749055961572136,"score_gpt":0.23170263707334923,"score_spread":0.14421207745762787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041670393","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6674807,0.0008220623,0.0006887984,0.00032496112,0.00005112775,0.00064625713,0.29195708,0.00027774347,0.037751198],"genre_scores_gemma":[0.69733673,0.0014483122,0.0034380278,0.00060605066,0.000038086684,0.0015738321,0.24690823,0.00009695503,0.04855371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997645,0.000016201015,0.00001677841,0.000053773714,0.00008402,0.00006472631],"domain_scores_gemma":[0.9988469,0.000049640497,0.00018658776,0.000044282147,0.0006609694,0.00021159423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026364197,0.00048145602,0.00027786533,0.001036341,0.0017024566,0.00059252605,0.00076057744,0.00029040466,0.0090152165],"category_scores_gemma":[0.0005730483,0.00017245377,0.00024614317,0.0014497126,0.0002745646,0.00018210996,0.00048146083,0.00025321695,0.0022682997],"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":[0.000423652,0.0001503052,0.8936957,0.00046087842,0.00013000563,0.00043330854,0.0017981187,0.0003643227,0.0022975444,0.000134612,0.06088983,0.039221615],"study_design_scores_gemma":[0.00003161352,0.000052562697,0.96953964,0.000073240255,0.00004930383,0.000035206067,0.0011106409,0.00012372462,0.0002552431,0.0000132454425,0.02870238,0.000013286003],"about_ca_topic_score_codex":0.9665881,"about_ca_topic_score_gemma":0.9916265,"teacher_disagreement_score":0.03341192,"about_ca_system_score_codex":0.005092319,"about_ca_system_score_gemma":0.010072698,"threshold_uncertainty_score":0.06721735},"labels":[],"label_agreement":null},{"id":"W3147597394","doi":"10.5441/002/edbt.2021.42","title":"Efficient Contact Similarity Query over Uncertain Trajectories","year":2021,"lang":"en","type":"article","venue":"Movebank","topic":"Data Management and Algorithms","field":"Computer 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":"University of New Brunswick","funders":"","keywords":"Computer science; Similarity (geometry); Query optimization; Information retrieval; Artificial intelligence","score_opus":0.017696849139547718,"score_gpt":0.2506765952562189,"score_spread":0.23297974611667116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147597394","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":[0.16134197,0.001419723,0.81657684,0.0011096168,0.00023199341,0.00036573573,0.007625587,0.0063047106,0.0050239153],"genre_scores_gemma":[0.7921221,0.00044329706,0.18782885,0.00016913142,0.0001571011,0.00020582735,0.013505325,0.00042713297,0.005141186],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997384,0.00034280526,0.00025075182,0.0007841819,0.0010115586,0.00022666916],"domain_scores_gemma":[0.99706334,0.0012278651,0.00032226596,0.0008110199,0.00043243504,0.00014312867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011626995,0.0008841205,0.0024656455,0.003226012,0.0013406626,0.0026330762,0.002729261,0.0021910165,0.0045550545],"category_scores_gemma":[0.009478251,0.000566927,0.000981813,0.0059823175,0.00061887765,0.00561026,0.0036307715,0.0012461839,0.0017611102],"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":[0.0035750696,0.0007735753,0.014117724,0.001251819,0.00039591076,0.002034173,0.0011213627,0.2970558,0.023852084,0.06148954,0.061350808,0.5329822],"study_design_scores_gemma":[0.000046241144,0.00013471353,0.0013229246,0.000021786036,0.00003983697,0.00041208975,0.00039682115,0.9607732,0.006148792,0.025109652,0.0055695716,0.000024385781],"about_ca_topic_score_codex":0.008582904,"about_ca_topic_score_gemma":0.0077076694,"teacher_disagreement_score":0.008582904,"about_ca_system_score_codex":0.001200667,"about_ca_system_score_gemma":0.0015379288,"threshold_uncertainty_score":0.017065883},"labels":[],"label_agreement":null},{"id":"W3150711643","doi":"10.5441/002/edbt.2021.35","title":"HorsePower: Accelerating Database Queries for Advanced Data Analytics","year":2021,"lang":"en","type":"article","venue":"Movebank","topic":"Data Quality and Management","field":"Decision Sciences","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":"McGill University","funders":"","keywords":"Horsepower; Computer science; Analytics; Database; Data analysis; Data modeling; Data mining; Engineering","score_opus":0.5144424565501053,"score_gpt":0.4858367395349261,"score_spread":0.02860571701517922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150711643","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025580417,0.0018352938,0.5113565,0.004814524,0.0018017495,0.0008550236,0.018116213,0.42325112,0.012389073],"genre_scores_gemma":[0.14360103,0.0014693218,0.7685826,0.002563579,0.0007255688,0.00082317117,0.04146746,0.02345543,0.017311735],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.990681,0.0021787893,0.00087559066,0.0015771781,0.004183102,0.0005044559],"domain_scores_gemma":[0.9743429,0.010848643,0.0010294933,0.00946394,0.0032791388,0.0010359018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009991231,0.002563024,0.0014696325,0.004506375,0.001072411,0.0065382184,0.0041223885,0.0016858275,0.030352881],"category_scores_gemma":[0.05456606,0.001703354,0.001688604,0.005007587,0.0011898464,0.010012975,0.007408303,0.003102647,0.014398317],"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":[0.0027641463,0.0005156377,0.009214008,0.0010498317,0.0005827291,0.00043499563,0.0011761101,0.0062087006,0.017943777,0.028119879,0.49737588,0.43461433],"study_design_scores_gemma":[0.0016768088,0.0007121997,0.0090558175,0.00053236226,0.0006106183,0.00075448124,0.0013991715,0.46002686,0.05059222,0.09007354,0.3842151,0.00035078003],"about_ca_topic_score_codex":0.00962234,"about_ca_topic_score_gemma":0.010085787,"teacher_disagreement_score":0.030352881,"about_ca_system_score_codex":0.0013859213,"about_ca_system_score_gemma":0.00328823,"threshold_uncertainty_score":0.101540506},"labels":[],"label_agreement":null},{"id":"W6894159295","doi":"10.5441/001/1.v81b20p9/2","title":"Gyrfalcon, High Arctic Institute, central-west Greenland-reference-data","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Arctic; Period (music); Juvenile; Circumpolar star; The arctic; Sea ice; Overwintering; Arctic ice pack","score_opus":0.0742015012920912,"score_gpt":0.28670125892482506,"score_spread":0.21249975763273388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894159295","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09341937,0.002140547,0.0015047392,0.0016082551,0.00070492853,0.00031909568,0.6902612,0.0012929614,0.20874901],"genre_scores_gemma":[0.18555963,0.0012715062,0.0063056415,0.0009221795,0.0001258919,0.00050405145,0.6266072,0.0008593781,0.17784463],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994635,0.0000637497,0.000047674428,0.00019558672,0.00013717572,0.000092359995],"domain_scores_gemma":[0.9985202,0.000087470864,0.00026910513,0.00019476008,0.0006997926,0.00022862061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084064656,0.0005529557,0.00022721337,0.0020757003,0.0007487219,0.001111934,0.0007857427,0.00031957784,0.082197085],"category_scores_gemma":[0.0014451907,0.00016218834,0.00012042976,0.0029061988,0.00018671346,0.00058881106,0.0010211987,0.0002933854,0.032271367],"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":[0.00069236127,0.000121370154,0.1659921,0.0004425647,0.000047866113,0.00051899615,0.0007184408,0.00043258263,0.0014014789,0.0030987223,0.6467171,0.17981647],"study_design_scores_gemma":[0.000040083163,0.000037406287,0.30071193,0.00029204454,0.000016230113,0.00015459591,0.0006607815,0.00038659538,0.00046190934,0.0005180426,0.6967055,0.000014851917],"about_ca_topic_score_codex":0.26850656,"about_ca_topic_score_gemma":0.33248347,"teacher_disagreement_score":0.26850656,"about_ca_system_score_codex":0.0020595216,"about_ca_system_score_gemma":0.0033594237,"threshold_uncertainty_score":0.5338874},"labels":[],"label_agreement":null},{"id":"W6894190743","doi":"10.5441/001/1.hr82ph6n/1","title":"Marbled Murrelets at Desolation Sound British Columbia Canada (1998-2001)","year":2022,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Seabird; Sound (geography); Foraging; Nest (protein structural motif); Range (aeronautics); Marbled meat; Home range","score_opus":0.011212134342356638,"score_gpt":0.21473144789348325,"score_spread":0.20351931355112662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894190743","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975011,0.000104658495,0.000045493518,0.000053445863,0.000005690403,0.000014287416,0.0008138322,0.000011161144,0.0014502048],"genre_scores_gemma":[0.99404424,0.00013470878,0.00022630885,0.000079331876,0.0000042603338,0.000015813821,0.0012647776,0.0000065281797,0.0042240405],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998412,0.000008799846,0.000005217975,0.000042692274,0.000055388504,0.000046592537],"domain_scores_gemma":[0.9994248,0.000020034982,0.000075434626,0.000018233675,0.00029187766,0.0001695865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015565562,0.00024194962,0.0002445483,0.000691529,0.001720254,0.00061911804,0.00057812314,0.000285359,0.0022237424],"category_scores_gemma":[0.00046199164,0.00021385532,0.00011814768,0.0007156105,0.0003805248,0.00020240078,0.0005090614,0.00033832924,0.00041238416],"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":[0.00017902476,0.00005111947,0.9719534,0.00005151667,0.000046336292,0.00079186977,0.0035336842,0.00009956953,0.004818311,0.000033831595,0.0027232002,0.015718186],"study_design_scores_gemma":[0.0000029962491,0.000015802541,0.9975787,0.000008035236,0.0000057647794,0.0000600359,0.0010422453,0.000057252033,0.00008427703,0.0000028827897,0.0011387723,0.0000033479905],"about_ca_topic_score_codex":0.9491235,"about_ca_topic_score_gemma":0.9933611,"teacher_disagreement_score":0.0508765,"about_ca_system_score_codex":0.005518933,"about_ca_system_score_gemma":0.002485079,"threshold_uncertainty_score":0.1023522},"labels":[],"label_agreement":null},{"id":"W6894270627","doi":"10.5441/001/1.f01v7r80/1","title":"Canadian Ringed Plover geolocation tracking, Bylot Island, Canada (data from Leandri-Breton et al. 2019)-light levels","year":2019,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Flyway; Geolocation; Plover; Nearctic ecozone; Circumpolar star; Charadriiformes; Arctic; Charadrius; Glacier","score_opus":0.04497742059461333,"score_gpt":0.2793188356311067,"score_spread":0.2343414150364934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894270627","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2639348,0.0055908333,0.0052065398,0.0011302073,0.00043718933,0.00057686574,0.6037217,0.0006276577,0.11877419],"genre_scores_gemma":[0.5353076,0.0044892803,0.016307397,0.00096378964,0.000053980035,0.00061862066,0.32894912,0.00030435945,0.11300587],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994373,0.00003202879,0.000027373844,0.0001249593,0.0002460117,0.0001322903],"domain_scores_gemma":[0.99626046,0.000099329845,0.00018825274,0.00014462278,0.003016842,0.00029044008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063512527,0.00046569025,0.00032440276,0.0019333664,0.0024319978,0.0013069857,0.0010312835,0.0002843029,0.016030712],"category_scores_gemma":[0.0013403575,0.00028118512,0.0003756851,0.0034236102,0.00033815813,0.00040180574,0.00056958693,0.0004958457,0.0032527512],"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":[0.0006807478,0.00013250072,0.52927536,0.00085755024,0.00027786123,0.00029244984,0.0016638859,0.0010720483,0.0044837776,0.0015610429,0.2851956,0.17450717],"study_design_scores_gemma":[0.000049970065,0.000049051338,0.82941717,0.0002921209,0.00011459509,0.00009922676,0.0013235031,0.00093892496,0.0015562526,0.0001249656,0.16597135,0.00006289973],"about_ca_topic_score_codex":0.99418056,"about_ca_topic_score_gemma":0.99822134,"teacher_disagreement_score":0.016030712,"about_ca_system_score_codex":0.010432423,"about_ca_system_score_gemma":0.019739376,"threshold_uncertainty_score":0.07569289},"labels":[],"label_agreement":null},{"id":"W6894309954","doi":"10.5441/001/1.66jq0844/1","title":"Eastern whip-poor-will migrations (data from English et al. 2017)","year":2017,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","cited_by":1,"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":"Insectivore; Range (aeronautics); Habitat; Spring (device); Population; Nocturnal","score_opus":0.06829588000913797,"score_gpt":0.34058813148274947,"score_spread":0.27229225147361147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894309954","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9552717,0.0002968577,0.00038835514,0.00010081262,0.000021402026,0.00010651896,0.03310518,0.000041073494,0.010668015],"genre_scores_gemma":[0.94526726,0.00042796112,0.0014115305,0.00016539812,0.000011982073,0.00013743866,0.043968145,0.00002529457,0.008584998],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998603,0.000011803177,0.000008302053,0.000028723669,0.000035337594,0.000055589702],"domain_scores_gemma":[0.9993661,0.000031314343,0.0001636518,0.000047333193,0.0002840615,0.00010752155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002544323,0.00020528465,0.00012948604,0.00080139673,0.0009930714,0.0004109598,0.0004200846,0.00012628394,0.0039979704],"category_scores_gemma":[0.00052220415,0.00010471579,0.00015986359,0.00106176,0.00019084864,0.00018663764,0.00040110212,0.00017469318,0.0007130611],"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":[0.00011864223,0.000025112571,0.9759078,0.00009977642,0.00007108937,0.00013110886,0.0012424359,0.00012271387,0.000766086,0.00010753355,0.010182072,0.011225582],"study_design_scores_gemma":[0.000002867911,0.0000074857717,0.9925597,0.000021075972,0.00001648283,0.000032508706,0.0007212844,0.000034219665,0.000074429365,0.000009465826,0.0065177376,0.0000027099777],"about_ca_topic_score_codex":0.7778001,"about_ca_topic_score_gemma":0.94565326,"teacher_disagreement_score":0.7778001,"about_ca_system_score_codex":0.0010675966,"about_ca_system_score_gemma":0.0014895309,"threshold_uncertainty_score":0.44701695},"labels":[],"label_agreement":null},{"id":"W6894341454","doi":"10.5441/001/1.384g5hc7/1","title":"Long-tailed Jaeger - PTT - Canadian Arctic","year":2022,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Foraging; Arctic; Spring (device); Resource (disambiguation); Productivity; The arctic; Habitat; Annual cycle","score_opus":0.013929792438653303,"score_gpt":0.24470895254425312,"score_spread":0.23077916010559982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894341454","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97351867,0.0011037602,0.0008591341,0.00017457563,0.00004878972,0.000068621506,0.008083624,0.0000684098,0.016074456],"genre_scores_gemma":[0.98107785,0.00061697164,0.0022159112,0.00017865124,0.000013950995,0.00004189841,0.0048007043,0.000028114619,0.011025879],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.999759,0.000015544214,0.000011851744,0.00007837258,0.000059229682,0.00007602674],"domain_scores_gemma":[0.9995184,0.000017866108,0.00010530179,0.00002792232,0.0002143143,0.00011609373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023401465,0.00032326757,0.00018049225,0.00059434853,0.0018159203,0.0006970971,0.00036730792,0.00015381181,0.0064315717],"category_scores_gemma":[0.00043175844,0.00012960575,0.00018791207,0.0007952334,0.00028640317,0.0002803478,0.0004126864,0.0002353911,0.0011461715],"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":[0.00026320037,0.000058983722,0.931483,0.00013733587,0.00007344073,0.00039041575,0.0010415094,0.00026784663,0.01873202,0.0002325643,0.0042240084,0.043095652],"study_design_scores_gemma":[0.0000029834598,0.000019666759,0.9927826,0.000017560924,0.000014298977,0.00014578407,0.0005312671,0.00011627764,0.00034839887,0.000013493067,0.0060025575,0.0000050530625],"about_ca_topic_score_codex":0.86856145,"about_ca_topic_score_gemma":0.9699569,"teacher_disagreement_score":0.13143855,"about_ca_system_score_codex":0.0029765703,"about_ca_system_score_gemma":0.0027300632,"threshold_uncertainty_score":0.26442522},"labels":[],"label_agreement":null},{"id":"W6912831777","doi":"10.5441/001/1.c745vb70","title":"Data from: Migratory connectivity at high latitudes: Sabine’s gulls (Xema sabini) from a colony in the Canadian High Arctic migrate to different oceans","year":2016,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Circumpolar star; Arctic; Habitat; Range (aeronautics); Sterna; The arctic; Latitude","score_opus":0.037841732878901,"score_gpt":0.2721385718370363,"score_spread":0.23429683895813533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912831777","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021077457,0.00014471315,0.000038788367,0.000041905678,0.000010920568,0.0000065269796,0.99673754,0.00007715577,0.00083469844],"genre_scores_gemma":[0.0052329013,0.00009383667,0.00018761169,0.000018119803,0.000003602431,0.000024651557,0.993765,0.00002264241,0.0006516079],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99950266,0.00003144672,0.000056892608,0.00014904891,0.00014662382,0.00011331766],"domain_scores_gemma":[0.9985551,0.00015997393,0.00026709543,0.00017015175,0.00066654343,0.00018117396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037714592,0.0011266631,0.00083414663,0.002707098,0.0012279114,0.001481226,0.0016277094,0.0007529495,0.012396726],"category_scores_gemma":[0.0027754887,0.0003874774,0.00066475227,0.007087789,0.00039158104,0.0005457128,0.0011605672,0.00084659236,0.0073854905],"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":[0.00024762476,0.000044112974,0.061920077,0.0015361573,0.00033550282,0.0001542116,0.00034129294,0.0015109057,0.00034155083,0.0007963622,0.92602146,0.006750812],"study_design_scores_gemma":[0.00026064191,0.000024004737,0.25343752,0.0006072732,0.00017644308,0.000118274846,0.00058787165,0.0010167842,0.00043405363,0.00041885753,0.7428359,0.00008241063],"about_ca_topic_score_codex":0.8135925,"about_ca_topic_score_gemma":0.90333116,"teacher_disagreement_score":0.1864075,"about_ca_system_score_codex":0.0031713995,"about_ca_system_score_gemma":0.0056822393,"threshold_uncertainty_score":0.37501055},"labels":[],"label_agreement":null},{"id":"W6912873037","doi":"10.5441/001/1.j484vk24/1","title":"Elk in southwestern Alberta","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Selection (genetic algorithm); Natural selection; Movement (music); Predation; Adaptation (eye); Sexual selection","score_opus":0.018367515124355072,"score_gpt":0.2564495995673107,"score_spread":0.23808208444295564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912873037","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98412466,0.0005567732,0.00031647575,0.00021856527,0.000031314434,0.000040529452,0.0021302386,0.000044105418,0.0125372885],"genre_scores_gemma":[0.9545025,0.0011012746,0.0018083248,0.0005391969,0.000021850827,0.000059123235,0.005033703,0.000029598503,0.03690437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998423,0.00000882612,0.000005371985,0.000039740335,0.000045136952,0.000058558584],"domain_scores_gemma":[0.9998197,0.000012134138,0.000031867192,0.000008059702,0.00008254315,0.00004577289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020668205,0.000307349,0.00024696736,0.00071153545,0.0016013987,0.00070105644,0.00067771366,0.00032309964,0.0035344772],"category_scores_gemma":[0.00023472836,0.00018385713,0.00014492412,0.0011408275,0.00040943845,0.00020562514,0.00046575707,0.0002851439,0.0008550924],"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":[0.0003831225,0.00014160079,0.93691546,0.000097476564,0.00006951079,0.0027691254,0.004945891,0.00051036227,0.004947184,0.00032472267,0.0066900332,0.042205423],"study_design_scores_gemma":[0.000011118751,0.000025770421,0.98562664,0.00004095128,0.000019143574,0.0002874628,0.005573136,0.00033895308,0.00017988465,0.00007339014,0.007814269,0.000009128433],"about_ca_topic_score_codex":0.94014233,"about_ca_topic_score_gemma":0.98399115,"teacher_disagreement_score":0.059857666,"about_ca_system_score_codex":0.0059147575,"about_ca_system_score_gemma":0.003122584,"threshold_uncertainty_score":0.12042034},"labels":[],"label_agreement":null},{"id":"W6912953399","doi":"10.5441/001/1.k8s2g5v7/3","title":"Ya Ha Tinda elk project, Banff National Park (data from Hebblewhite et al. 2008)-reference-data","year":2016,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Forage; Biomass (ecology); Ungulate; National park; Phenology; Growing season","score_opus":0.17221096394940205,"score_gpt":0.38146009761083743,"score_spread":0.20924913366143538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912953399","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.094087556,0.0008776735,0.0036749365,0.00037132268,0.00022192649,0.00032836152,0.8157948,0.00068239693,0.083961025],"genre_scores_gemma":[0.12847517,0.0006385543,0.014750223,0.00021224596,0.000034985045,0.00087271316,0.76346135,0.00034927524,0.09120545],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957114,0.000043356136,0.000030182888,0.00009005439,0.00017390118,0.00009145701],"domain_scores_gemma":[0.9987386,0.000066535395,0.000120342,0.00013129921,0.0007977797,0.00014546422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007831241,0.00034289816,0.00041688196,0.0017187627,0.00087681843,0.0008785262,0.0009676707,0.00020924129,0.028989889],"category_scores_gemma":[0.0011010488,0.000309574,0.00016137461,0.0026659425,0.00017671347,0.00052218226,0.0006397305,0.00041900773,0.008431969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048843643,0.00025002696,0.2806247,0.00057669537,0.00016574482,0.00018952262,0.0006698092,0.0004886188,0.0015198326,0.002150205,0.5626496,0.15022683],"study_design_scores_gemma":[0.00009348867,0.00004238171,0.53285426,0.00019694454,0.000059301598,0.00014413128,0.0012062803,0.0012248751,0.0008575654,0.00036489722,0.46291956,0.000036355694],"about_ca_topic_score_codex":0.55924666,"about_ca_topic_score_gemma":0.8550762,"teacher_disagreement_score":0.44075334,"about_ca_system_score_codex":0.0016415158,"about_ca_system_score_gemma":0.0033113004,"threshold_uncertainty_score":0.88669807},"labels":[],"label_agreement":null},{"id":"W6912976012","doi":"10.5441/001/1.1rc3hj8d/6","title":"ltdu_19982000_raw_argos_diag","year":2016,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Waterfowl; Peninsula; Wildlife; Population; Aerial survey; Moulting; Wetland; Habitat; Fish <Actinopterygii>","score_opus":0.013099048025480637,"score_gpt":0.26600705482870773,"score_spread":0.2529080068032271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912976012","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002205378,0.00053237367,0.004314967,0.00063235115,0.0010285521,0.00017964313,0.02478825,0.014888496,0.95143],"genre_scores_gemma":[0.0069509214,0.00040209052,0.004485706,0.00033008732,0.00021045074,0.000148213,0.02542177,0.0045201853,0.95753044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.000098516546,0.00006834078,0.00020388978,0.00028519708,0.00010524343],"domain_scores_gemma":[0.99880207,0.00015125777,0.00013258323,0.00030272352,0.00038434067,0.00022691805],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009180375,0.0013655188,0.0008858235,0.0021725944,0.001085112,0.004419574,0.0014450902,0.0014214673,0.8582724],"category_scores_gemma":[0.0012647002,0.0009384508,0.00053431076,0.0016667036,0.00042491214,0.0018401878,0.0022127568,0.00085405627,0.86663777],"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":[0.00030382606,0.000141387,0.0014098354,0.00029747706,0.000013487272,0.00012306253,0.00006876296,0.00024112126,0.0015920433,0.0025538977,0.5549282,0.4383269],"study_design_scores_gemma":[0.000024026362,0.00002490741,0.0012510051,0.000055212407,0.000002384722,0.00006045685,0.00002460791,0.0002242522,0.00047749263,0.00027140422,0.9975744,0.0000099177205],"about_ca_topic_score_codex":0.0028164913,"about_ca_topic_score_gemma":0.0032694251,"teacher_disagreement_score":0.8582724,"about_ca_system_score_codex":0.000577138,"about_ca_system_score_gemma":0.0007461047,"threshold_uncertainty_score":0.20215726},"labels":[],"label_agreement":null},{"id":"W6913023251","doi":"10.5441/001/1.k8s2g5v7/1","title":"Ya Ha Tinda elk project, Banff National Park (data from Hebblewhite et al. 2008)-gps","year":2016,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Forage; Biomass (ecology); Ungulate; National park; Phenology; Growing season","score_opus":0.06840258831000892,"score_gpt":0.3466955738316436,"score_spread":0.27829298552163473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6913023251","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35468152,0.0015931481,0.0061876974,0.0006507452,0.00032523766,0.0005324484,0.4930968,0.00080222083,0.14213026],"genre_scores_gemma":[0.3370919,0.0011122007,0.023295017,0.00032650435,0.00005236834,0.0011862665,0.4717876,0.00032957335,0.16481861],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996439,0.000040296418,0.000021155021,0.000072014474,0.00014648562,0.00007613981],"domain_scores_gemma":[0.99915016,0.00004127315,0.00008847471,0.000072200426,0.0005348205,0.000113122245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006068873,0.00031768624,0.00032874595,0.0014814029,0.0009024411,0.00085039996,0.00067967054,0.00017592649,0.018756216],"category_scores_gemma":[0.0009099659,0.00029229268,0.00014723494,0.002113714,0.0001593167,0.00041179353,0.00060897204,0.00036159437,0.0053551397],"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":[0.0003765008,0.00021811195,0.55861884,0.00037970932,0.00014728792,0.00017306134,0.0011289688,0.00048820616,0.0020743152,0.0014278746,0.25579548,0.17917168],"study_design_scores_gemma":[0.000060692844,0.000047258123,0.7665575,0.000112872585,0.000055426088,0.00013425022,0.0016235681,0.0010152665,0.00067922706,0.00015467868,0.22953106,0.000028232036],"about_ca_topic_score_codex":0.625704,"about_ca_topic_score_gemma":0.8974575,"teacher_disagreement_score":0.374296,"about_ca_system_score_codex":0.001621214,"about_ca_system_score_gemma":0.0032769986,"threshold_uncertainty_score":0.7530006},"labels":[],"label_agreement":null},{"id":"W6913054135","doi":"10.5441/001/1.b3b511d2/2","title":"Peregrine Falcon, High Arctic Institute, northwest Greenland-reference-data","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Arctic; Population; Range (aeronautics); Climate change; Peregrinus; The arctic; Arctic ecology","score_opus":0.07306779521414886,"score_gpt":0.2876060001362852,"score_spread":0.21453820492213632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6913054135","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12583077,0.00072542933,0.0010729077,0.00080458337,0.0003027837,0.00026483022,0.672976,0.0006659495,0.19735678],"genre_scores_gemma":[0.21307862,0.00074067165,0.0060397573,0.0008230324,0.00009632071,0.0006528561,0.61676544,0.00037489977,0.16142839],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967635,0.000034193778,0.000028261502,0.00011470058,0.00008760923,0.000058952384],"domain_scores_gemma":[0.99869066,0.000054021115,0.0002660425,0.0001471112,0.0006702442,0.00017184568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000496048,0.00039262336,0.00015968809,0.0013128689,0.00071727607,0.0005858023,0.00060464453,0.00019237107,0.0501894],"category_scores_gemma":[0.0010469023,0.00014816446,0.000098646946,0.0018813036,0.00009948496,0.00042213348,0.0005644552,0.00025148297,0.017613769],"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":[0.00024589506,0.00013376493,0.250547,0.00020453495,0.000034715024,0.00031940607,0.00054023525,0.0002669498,0.00078523974,0.0011619637,0.64783895,0.097921394],"study_design_scores_gemma":[0.00003230542,0.00003534264,0.5529604,0.00016838503,0.000019061217,0.00016910791,0.0007084279,0.00029797968,0.00049452967,0.00022183686,0.4448803,0.000012388451],"about_ca_topic_score_codex":0.28810027,"about_ca_topic_score_gemma":0.47460827,"teacher_disagreement_score":0.28810027,"about_ca_system_score_codex":0.0013492678,"about_ca_system_score_gemma":0.0016465498,"threshold_uncertainty_score":0.57284665},"labels":[],"label_agreement":null},{"id":"W6913110737","doi":"10.5441/001/1.282vr7kd/1","title":"Herring Gulls (Larus Argentatus); Ronconi; Brier Island Canada","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Herring; Generalist and specialist species; Foraging; Context (archaeology); Bird migration; Population; Charadriiformes; Habitat; Arctic","score_opus":0.010961963488474738,"score_gpt":0.22375341601998638,"score_spread":0.21279145253151166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6913110737","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98422974,0.0013621731,0.00043594756,0.00031733044,0.000017410035,0.000027088752,0.001265355,0.0000712138,0.012273801],"genre_scores_gemma":[0.99175644,0.00081515755,0.0012078654,0.000094347655,0.000010193278,0.000025397687,0.00089124346,0.000019244635,0.0051801675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998627,0.000017371623,0.0000053499157,0.0000521325,0.000033283974,0.000029128309],"domain_scores_gemma":[0.9995882,0.00003066445,0.00013803683,0.000015156975,0.00015237347,0.00007565172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030632835,0.00039588302,0.00018310502,0.0006534493,0.0009711592,0.00047239647,0.00040393433,0.00016545592,0.0024503283],"category_scores_gemma":[0.0004910392,0.000070293274,0.0000789511,0.00071855105,0.00065112393,0.00023303273,0.00026447175,0.00019407134,0.00033117126],"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":[0.0002118059,0.00006416038,0.9436392,0.00014308206,0.00006118619,0.0004124406,0.00086809695,0.0007126844,0.0066734795,0.0003654213,0.0038021023,0.043046385],"study_design_scores_gemma":[0.000003786009,0.00003549939,0.9950907,0.000029815616,0.000020847849,0.00009418992,0.0006976439,0.00030843657,0.00015625184,0.00004398883,0.0035126253,0.0000062134463],"about_ca_topic_score_codex":0.83204305,"about_ca_topic_score_gemma":0.9476431,"teacher_disagreement_score":0.16795695,"about_ca_system_score_codex":0.0034496034,"about_ca_system_score_gemma":0.0020569605,"threshold_uncertainty_score":0.33789212},"labels":[],"label_agreement":null},{"id":"W6931451729","doi":"10.5441/001/1.1r1s4v8d/2","title":"Herring Gulls (Larus Argentatus); Gilchrist; East Bay Island Canada-reference-data","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","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":"Herring; Foraging; Generalist and specialist species; Context (archaeology); Bay; Population; Arctic; Charadriiformes","score_opus":0.04339154571492756,"score_gpt":0.2613325308242892,"score_spread":0.21794098510936163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931451729","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.545591,0.0028964954,0.002784037,0.0006393369,0.00014020882,0.00030797147,0.38148424,0.00088992424,0.06526674],"genre_scores_gemma":[0.6426918,0.0018638491,0.008544924,0.00032717138,0.000041069274,0.00044609644,0.30885667,0.0002586769,0.03696969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948573,0.00003286042,0.000024484898,0.00013046569,0.00020348866,0.00012294081],"domain_scores_gemma":[0.99693584,0.00008868992,0.0004833044,0.00018217995,0.0020253048,0.00028460572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073057576,0.0005798703,0.00030552305,0.0017747113,0.0012803619,0.00069512613,0.0011481801,0.00021641835,0.009190619],"category_scores_gemma":[0.0016586849,0.00015031465,0.00017838915,0.003882737,0.00032734143,0.00027544738,0.00048791946,0.00029753635,0.0030505587],"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":[0.00029916692,0.00008190258,0.8586102,0.0003051635,0.00013810131,0.00026112224,0.00075996417,0.0012060395,0.0012104226,0.00058250804,0.08349406,0.053051293],"study_design_scores_gemma":[0.000017488197,0.000023677872,0.9508247,0.00010207358,0.000043605378,0.00006784125,0.00061791635,0.0004987474,0.00024284114,0.000064589774,0.047478728,0.000017802906],"about_ca_topic_score_codex":0.9782622,"about_ca_topic_score_gemma":0.99012357,"teacher_disagreement_score":0.021737814,"about_ca_system_score_codex":0.008803242,"about_ca_system_score_gemma":0.011161004,"threshold_uncertainty_score":0.06387234},"labels":[],"label_agreement":null},{"id":"W6931591032","doi":"10.5441/001/1.p1m75qn1/1","title":"Thick-billed murre Patterson Coats meps13890","year":2021,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Bay; Arctic; Range (aeronautics); Habitat; Climate change; Sea ice; Species distribution; Global warming; Distribution (mathematics)","score_opus":0.022272870907437497,"score_gpt":0.27495941679422675,"score_spread":0.25268654588678924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931591032","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.108365364,0.00067969674,0.0041253874,0.002899872,0.0007494372,0.00019753816,0.015076447,0.0022360026,0.86567014],"genre_scores_gemma":[0.13382931,0.00042990345,0.0025964477,0.0004946733,0.000069019196,0.000045596764,0.0044715377,0.00026965654,0.85779387],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99989057,0.000010946718,0.00000303401,0.000038870305,0.000037496247,0.00001913383],"domain_scores_gemma":[0.99977714,0.000016683683,0.000020886071,0.000018592622,0.000053507414,0.00011327768],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015011297,0.00045362394,0.0002106843,0.00032490416,0.0006625029,0.00050795526,0.0005152058,0.00041814984,0.3816603],"category_scores_gemma":[0.00037568813,0.00020311415,0.00021928707,0.00016994013,0.00021204178,0.00034671277,0.00090873515,0.0004014812,0.11765275],"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":[0.00046140482,0.0002953223,0.054533165,0.00015733259,0.000040832656,0.0012331535,0.00022976016,0.002530082,0.0042048004,0.0034315537,0.59767604,0.33520648],"study_design_scores_gemma":[0.00005289985,0.0003159519,0.07792825,0.00016080539,0.000017750654,0.0005929609,0.00041997392,0.005569598,0.00083754095,0.0007493441,0.9133323,0.000022763486],"about_ca_topic_score_codex":0.049836665,"about_ca_topic_score_gemma":0.14513764,"teacher_disagreement_score":0.3816603,"about_ca_system_score_codex":0.00071366574,"about_ca_system_score_gemma":0.0005165201,"threshold_uncertainty_score":0.8819865},"labels":[],"label_agreement":null},{"id":"W6931702250","doi":"10.5441/001/1.292","title":"Data from: Study \"American Herring Gulls - GPS - Lobster Bay, Southwest Nova Scotia, Canada\"","year":2023,"lang":"en","type":"dataset","venue":"Movebank","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":2,"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":"Dusk; Fishing; Herring; Fledge; Range (aeronautics); Seasonal breeder; Habitat; Predation","score_opus":0.08010116714846341,"score_gpt":0.3409355403325859,"score_spread":0.2608343731841225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931702250","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5490407,0.00041217313,0.00069208036,0.00018615332,0.000050493327,0.00033459047,0.43106675,0.00023389132,0.017983276],"genre_scores_gemma":[0.64433473,0.000759404,0.0030873145,0.0004194739,0.00002733832,0.00096473977,0.30675215,0.000098197495,0.043556657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975175,0.0000134019365,0.000024359666,0.000065685905,0.00007921631,0.00006560308],"domain_scores_gemma":[0.99841106,0.00007028544,0.00027869357,0.000083609106,0.00090411666,0.0002522329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019431095,0.0004934641,0.0002581287,0.0010562852,0.001117666,0.000594644,0.00061465555,0.00024699184,0.008566868],"category_scores_gemma":[0.00063540105,0.00021270393,0.00020545561,0.00233182,0.0002625951,0.00016415994,0.00050717226,0.00022668559,0.0034045712],"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":[0.0002409916,0.0000723737,0.9190179,0.0002971507,0.00008158493,0.00028059387,0.0013488121,0.00046808907,0.0022461375,0.00009522012,0.054485105,0.021365955],"study_design_scores_gemma":[0.000015875692,0.000025982099,0.97951686,0.000037233895,0.000020881682,0.000023637574,0.0006905985,0.00013942865,0.00019898277,0.000008577732,0.019312553,0.000009435182],"about_ca_topic_score_codex":0.9725637,"about_ca_topic_score_gemma":0.9933397,"teacher_disagreement_score":0.027436316,"about_ca_system_score_codex":0.004603723,"about_ca_system_score_gemma":0.007953672,"threshold_uncertainty_score":0.05519575},"labels":[],"label_agreement":null},{"id":"W6931706074","doi":"10.5441/001/1.3th8b5q3/3","title":"Herring Gulls (Larus Argentatus); Clark; Massachussets United States-reference-data","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"Fire effects on ecosystems","field":"Environmental Science","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":"Herring; Generalist and specialist species; Foraging; Context (archaeology); Population; Bird migration; Arctic; Charadriiformes","score_opus":0.03353344533831337,"score_gpt":0.25876971123338033,"score_spread":0.22523626589506696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931706074","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68391776,0.0017972313,0.0022825545,0.0006474754,0.00024403374,0.000151199,0.25306484,0.00097485026,0.056920137],"genre_scores_gemma":[0.74848443,0.0007590041,0.0045734993,0.00025078675,0.000073974654,0.0003642313,0.22407645,0.00017960461,0.021238036],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970776,0.000041619838,0.000024212033,0.00010167297,0.00008219795,0.0000424676],"domain_scores_gemma":[0.99854666,0.000086500106,0.0005455116,0.00013233437,0.0005703087,0.00011858078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044391805,0.00047865754,0.0002042333,0.0014966648,0.00053301494,0.0003414112,0.0005402909,0.00016785509,0.012195614],"category_scores_gemma":[0.001168822,0.00010431962,0.00012269845,0.0019211813,0.00017561558,0.0003354064,0.00043414874,0.00018531832,0.003524691],"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":[0.0003643558,0.000101639365,0.86508197,0.00027202774,0.00010494658,0.00022671552,0.00046424716,0.00037243022,0.0021975562,0.00049315067,0.07537247,0.054948498],"study_design_scores_gemma":[0.000023678482,0.000053568103,0.94096774,0.00007844238,0.000048021524,0.000104373765,0.00037576116,0.00034400917,0.00045469403,0.00010922902,0.05742881,0.000011535084],"about_ca_topic_score_codex":0.20059158,"about_ca_topic_score_gemma":0.33532017,"teacher_disagreement_score":0.20059158,"about_ca_system_score_codex":0.00091147795,"about_ca_system_score_gemma":0.00074067106,"threshold_uncertainty_score":0.398848},"labels":[],"label_agreement":null},{"id":"W6931785743","doi":"10.5441/001/1.66jq0844/2","title":"Eastern whip-poor-will migrations (data from English et al. 2017)-reference-data","year":2017,"lang":"en","type":"dataset","venue":"Movebank","topic":"Reproductive Health and Contraception","field":"Medicine","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":"Insectivore; Range (aeronautics); Habitat; Spring (device); Population; Nocturnal","score_opus":0.14238482779001083,"score_gpt":0.3947184031725532,"score_spread":0.25233357538254236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931785743","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23886797,0.0006650088,0.0011404024,0.0002774658,0.00012026392,0.0002432574,0.7100047,0.0003839647,0.048297],"genre_scores_gemma":[0.33907747,0.00062763516,0.0031533996,0.00021908646,0.000034641856,0.00034137667,0.6258729,0.00019002178,0.030483492],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99971396,0.000020531257,0.000020564572,0.00005291868,0.000085178945,0.00010670454],"domain_scores_gemma":[0.9983891,0.00007890913,0.00027118585,0.00014402627,0.00097738,0.00013938913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034218546,0.00029006376,0.000218454,0.0012371966,0.0007897832,0.000524965,0.0006751958,0.00015994853,0.014025529],"category_scores_gemma":[0.0013368293,0.00014652766,0.00021317293,0.0021386936,0.00015379245,0.00026837716,0.000541222,0.00026525205,0.0038369007],"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":[0.00037051953,0.00007757724,0.63883096,0.00074834796,0.0001993889,0.00024457404,0.0014942337,0.0005560062,0.0009536201,0.000937136,0.3121918,0.04339584],"study_design_scores_gemma":[0.000019531786,0.00001682886,0.8931085,0.00017076908,0.00004484197,0.000050760886,0.000911172,0.00014302063,0.000279588,0.000064730215,0.10517848,0.0000118519265],"about_ca_topic_score_codex":0.79876745,"about_ca_topic_score_gemma":0.9045112,"teacher_disagreement_score":0.79876745,"about_ca_system_score_codex":0.0013176585,"about_ca_system_score_gemma":0.0026831946,"threshold_uncertainty_score":0.40483528},"labels":[],"label_agreement":null},{"id":"W6931876920","doi":"10.5441/001/1.d5d912c4","title":"Data from: Study \"Arctic hare Alert - Argos tracking\"","year":2021,"lang":"en","type":"dataset","venue":"Movebank","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":3,"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":"Habitat; Arctic; Settlement (finance); The arctic; Satellite tracking; Satellite","score_opus":0.7802625651926195,"score_gpt":0.5419720276820693,"score_spread":0.23829053751055018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931876920","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00094085385,0.000038605125,0.0000710786,0.000052648324,0.00001294562,0.00001229577,0.9981851,0.00009116903,0.00059535005],"genre_scores_gemma":[0.0018431481,0.000028319191,0.000302584,0.000035598627,0.0000051484476,0.00010721812,0.99679774,0.000029097457,0.00085120386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999154,0.00016898042,0.00010253639,0.00023947479,0.00021056282,0.00012441371],"domain_scores_gemma":[0.9966967,0.0009666253,0.0005227872,0.0005403208,0.00093885756,0.0003346593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012854162,0.0010883589,0.00068923447,0.0019052133,0.000754726,0.0012942953,0.0017588658,0.0011325091,0.032611053],"category_scores_gemma":[0.00738267,0.00034835326,0.0006361503,0.0041785934,0.00028611853,0.00060255337,0.0014098744,0.0009380472,0.030857468],"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":[0.00012358687,0.000053391414,0.0100570815,0.0005874924,0.00007070306,0.00005039171,0.00010511543,0.00043753366,0.00011978177,0.00042049703,0.9840567,0.0039177085],"study_design_scores_gemma":[0.0004269871,0.00005016924,0.061697617,0.00041975876,0.000089436,0.00009785289,0.00047358611,0.0007861558,0.00045398256,0.00079778425,0.93465716,0.00004954651],"about_ca_topic_score_codex":0.07227562,"about_ca_topic_score_gemma":0.16031764,"teacher_disagreement_score":0.07227562,"about_ca_system_score_codex":0.0009813864,"about_ca_system_score_gemma":0.0020359512,"threshold_uncertainty_score":0.1437099},"labels":[],"label_agreement":null},{"id":"W6950305936","doi":"10.5441/001/1.384g5hc7/4","title":"LTJA_transmitter_02","year":2022,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Foraging; Arctic; Spring (device); Productivity; Resource (disambiguation); Flyway; Habitat","score_opus":0.015354137948709708,"score_gpt":0.2520692832985283,"score_spread":0.23671514534981858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950305936","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021683474,0.0007015042,0.008391292,0.0015673669,0.0029152005,0.00024746967,0.009846269,0.031775326,0.94238734],"genre_scores_gemma":[0.01744186,0.0006208585,0.0040136753,0.0012051174,0.001598014,0.00019993023,0.010754574,0.0042742426,0.95989186],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967694,0.000053068132,0.000020617772,0.00008124269,0.0000934159,0.00007469218],"domain_scores_gemma":[0.9988992,0.00013910675,0.000047995894,0.00023845304,0.00044423103,0.00023091833],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005350571,0.0008393303,0.0007219205,0.00096865906,0.0011269234,0.004430428,0.0012942151,0.0018604038,0.7608016],"category_scores_gemma":[0.001090136,0.000544033,0.00039257546,0.00085148605,0.0003515239,0.0020409848,0.0020120535,0.0016668276,0.7161236],"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":[0.00030795793,0.000107341846,0.00061539415,0.00019077134,0.000016964308,0.00015403719,0.000080514255,0.00023922887,0.0032908984,0.0028488282,0.8126401,0.17950796],"study_design_scores_gemma":[0.000080465776,0.00006257569,0.0007356894,0.00009004756,0.000012004154,0.000110302375,0.000038793518,0.0012150956,0.0015507081,0.00063666026,0.9954477,0.000019836816],"about_ca_topic_score_codex":0.0016922349,"about_ca_topic_score_gemma":0.0015886364,"teacher_disagreement_score":0.23919839,"about_ca_system_score_codex":0.0007460798,"about_ca_system_score_gemma":0.0007277844,"threshold_uncertainty_score":0.34118742},"labels":[],"label_agreement":null},{"id":"W6950324323","doi":"10.5441/001/1.tj948m64/2","title":"Glaucous gull Elliott Coats-light-levels","year":2021,"lang":"en","type":"dataset","venue":"Movebank","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary 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":"Seabird; Generalist and specialist species; Habitat; Predation; Pelagic zone; Bird migration; Larus","score_opus":0.0115387477362518,"score_gpt":0.20746554873082557,"score_spread":0.19592680099457377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950324323","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006216627,0.00011359187,0.00005281032,0.000053093263,0.000012083314,0.0000105902745,0.9923775,0.000052253832,0.0011114401],"genre_scores_gemma":[0.008209793,0.00008575336,0.00021148773,0.00004082413,0.0000047973504,0.000052060226,0.98984224,0.000018748886,0.0015343376],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997634,0.00002133124,0.00001938451,0.000075403215,0.000053370153,0.00006697028],"domain_scores_gemma":[0.99924195,0.00007165627,0.00013437243,0.00010373282,0.00035858594,0.000089749476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029190583,0.0006503865,0.00051396166,0.0015017606,0.000741082,0.0008267014,0.0010770285,0.000494063,0.011159452],"category_scores_gemma":[0.0013564522,0.00024414388,0.00045564133,0.0031695839,0.000235217,0.00033595576,0.000781477,0.00047463726,0.007780102],"study_design_candidate":"observational","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":[0.00022832109,0.000054433975,0.1072228,0.0007774619,0.00016996762,0.0001869355,0.00027185443,0.00092169736,0.00037315732,0.0007408479,0.88084507,0.00820738],"study_design_scores_gemma":[0.00017766573,0.000036540598,0.42484158,0.00057296315,0.000108754124,0.00014284354,0.00080094195,0.0012230612,0.00044006523,0.00038355234,0.571216,0.000056054963],"about_ca_topic_score_codex":0.6879564,"about_ca_topic_score_gemma":0.827004,"teacher_disagreement_score":0.6879564,"about_ca_system_score_codex":0.0015973831,"about_ca_system_score_gemma":0.0022638708,"threshold_uncertainty_score":0.62776256},"labels":[],"label_agreement":null},{"id":"W6950346556","doi":"10.5441/001/1.3264ss3v/2","title":"Herring Gulls (Larus Argentatus); Ronconi; Sable Island Canada-gps","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Herring; Generalist and specialist species; Foraging; Context (archaeology); Population; Bird migration; Arctic; Habitat","score_opus":0.013548156409718654,"score_gpt":0.23071452535898776,"score_spread":0.2171663689492691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950346556","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97746336,0.0012173203,0.0018567939,0.0003025215,0.000019153638,0.00004587022,0.0040631057,0.00025455025,0.014777338],"genre_scores_gemma":[0.98732865,0.0006602172,0.0035731227,0.000051363684,0.000007799421,0.000032610034,0.0025127209,0.000025366004,0.005808192],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998627,0.000023513132,0.000005853719,0.000040173494,0.000041110812,0.000026720461],"domain_scores_gemma":[0.999584,0.000026565564,0.00014732456,0.000016466423,0.0001781363,0.000047499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026225732,0.0004121114,0.00018141292,0.00084453373,0.00057454273,0.0005210082,0.00034247755,0.0001384401,0.0032335215],"category_scores_gemma":[0.00061823864,0.00008345091,0.00007908365,0.001572564,0.00039188148,0.0002583397,0.0002904368,0.00013678073,0.0006115446],"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":[0.00008907377,0.000027151435,0.9523252,0.000084872314,0.00003695163,0.00013841428,0.00060332526,0.0014061177,0.0022142327,0.00020970791,0.0035553444,0.039309703],"study_design_scores_gemma":[0.0000043655255,0.000023351813,0.9916155,0.000029008914,0.000023111517,0.000084874555,0.00092843396,0.0015852769,0.00015850212,0.00006502372,0.0054737553,0.000008892762],"about_ca_topic_score_codex":0.860664,"about_ca_topic_score_gemma":0.9424362,"teacher_disagreement_score":0.13933599,"about_ca_system_score_codex":0.002790315,"about_ca_system_score_gemma":0.0023550538,"threshold_uncertainty_score":0.28031307},"labels":[],"label_agreement":null},{"id":"W6950378220","doi":"10.5441/001/1.3264ss3v","title":"Data from: Study \"Herring Gulls (Larus Argentatus); Ronconi; Sable Island, Canada\"","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","cited_by":2,"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":"Generalist and specialist species; Foraging; Herring; Context (archaeology); Bird migration; Population; Charadriiformes","score_opus":0.07084353325170512,"score_gpt":0.30280710303679104,"score_spread":0.23196356978508592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950378220","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72205013,0.0007403013,0.0006418032,0.0002916827,0.00004457016,0.00056471734,0.24401096,0.0002631605,0.0313927],"genre_scores_gemma":[0.73512447,0.0013579027,0.0032160166,0.00056705304,0.000033544675,0.001465956,0.21741655,0.000085987616,0.04073253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997751,0.000017501465,0.00001722185,0.00005065859,0.00007818265,0.000061413215],"domain_scores_gemma":[0.9987936,0.000056331868,0.0001951001,0.00004743673,0.000680035,0.00022741593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026586224,0.00046503064,0.0002786695,0.0010427535,0.0016858333,0.0005823028,0.00073422224,0.0002928419,0.008486755],"category_scores_gemma":[0.0006045909,0.00016634082,0.00024262462,0.0014874757,0.00028854923,0.00017921207,0.0005014184,0.00024279515,0.0020712751],"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":[0.0003825887,0.00013707034,0.9124753,0.00042624984,0.00012294666,0.0003810288,0.0017327687,0.00035159595,0.0020038018,0.00011092855,0.046781275,0.0350944],"study_design_scores_gemma":[0.000030029874,0.00004958475,0.9738185,0.00006816031,0.0000465441,0.000033464217,0.001131845,0.00012303246,0.00022576233,0.000013480312,0.024447517,0.0000121887415],"about_ca_topic_score_codex":0.9605324,"about_ca_topic_score_gemma":0.9900163,"teacher_disagreement_score":0.039467573,"about_ca_system_score_codex":0.0047661937,"about_ca_system_score_gemma":0.009917995,"threshold_uncertainty_score":0.07939994},"labels":[],"label_agreement":null},{"id":"W6950565333","doi":"10.5441/001/1.kg210889/2","title":"Marbled Murrelets at Clayoquot Sound British Columbia Canada (2000-2002)-reference-data","year":2022,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Seabird; Sound (geography); Range (aeronautics); Foraging; Nest (protein structural motif); Home range","score_opus":0.03091786008975501,"score_gpt":0.24291914351812866,"score_spread":0.21200128342837365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950565333","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766973,0.000231168,0.00017435169,0.000096014184,0.000016348544,0.000052562933,0.016159851,0.000057896315,0.0065145134],"genre_scores_gemma":[0.97339666,0.00020094519,0.0006491572,0.00010449106,0.000008006746,0.00006258815,0.015859997,0.000019380863,0.009698688],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998178,0.000010094863,0.000009647331,0.000047356803,0.00006727884,0.000047959693],"domain_scores_gemma":[0.99897397,0.000026896965,0.00013529151,0.00004452867,0.0006198373,0.00019954673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017703373,0.0002397561,0.00021151638,0.0011125979,0.001171804,0.00054181763,0.00068731676,0.00022641473,0.003913474],"category_scores_gemma":[0.00054996175,0.00016198031,0.000121521145,0.001286137,0.00021958291,0.00016517911,0.00042390497,0.00023227987,0.0008697316],"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":[0.0001574649,0.00004172146,0.9674442,0.00007856006,0.00003995741,0.0004044502,0.0013900987,0.00018185962,0.002299091,0.000048893387,0.009879793,0.01803397],"study_design_scores_gemma":[0.000003729486,0.000008875536,0.99640626,0.000009153015,0.0000053787016,0.00004209524,0.00052170095,0.00008515798,0.00009799576,0.0000034391137,0.002812321,0.000003834729],"about_ca_topic_score_codex":0.9615372,"about_ca_topic_score_gemma":0.9936652,"teacher_disagreement_score":0.038462818,"about_ca_system_score_codex":0.0051301597,"about_ca_system_score_gemma":0.002703681,"threshold_uncertainty_score":0.07737863},"labels":[],"label_agreement":null},{"id":"W6950626304","doi":"10.5441/001/1.3833b9n1/1","title":"Gyrfalcon, High Arctic Institute, northwest Greenland","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary 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":"Arctic; Period (music); Circumpolar star; Juvenile; Groenlandia; The arctic; West coast; Sea ice","score_opus":0.010230639100509515,"score_gpt":0.19203816762646478,"score_spread":0.18180752852595528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950626304","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47574446,0.009930389,0.0014280239,0.004753978,0.0011705842,0.0002523248,0.018654319,0.0006966393,0.48736924],"genre_scores_gemma":[0.41194108,0.006013733,0.006028835,0.0015602884,0.00015710299,0.0002006474,0.013878684,0.00031007672,0.5599096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998198,0.000027359234,0.0000058690857,0.00008096524,0.00003088262,0.00003513853],"domain_scores_gemma":[0.9997266,0.000025397956,0.000034497833,0.00001345445,0.0000729006,0.00012718639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022530675,0.0006103381,0.0001380894,0.0006830101,0.0011390835,0.00076516176,0.000481781,0.0003700991,0.068078645],"category_scores_gemma":[0.0002895791,0.0001210382,0.00008121052,0.000594966,0.00032145064,0.0003328625,0.00066288793,0.00024066167,0.017702438],"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":[0.0012053454,0.00045056426,0.24896908,0.00040474496,0.00004567673,0.0038435024,0.0019001585,0.0006360052,0.011105176,0.0039995993,0.18896298,0.5384771],"study_design_scores_gemma":[0.000052900457,0.00016037015,0.4777926,0.000272528,0.000021259062,0.0010075347,0.003449964,0.00045482971,0.0008861821,0.0006855886,0.5151983,0.000017927738],"about_ca_topic_score_codex":0.11347064,"about_ca_topic_score_gemma":0.3263049,"teacher_disagreement_score":0.11347064,"about_ca_system_score_codex":0.0014759593,"about_ca_system_score_gemma":0.0018459125,"threshold_uncertainty_score":0.22774571},"labels":[],"label_agreement":null},{"id":"W6950720576","doi":"10.5441/001/1.tj948m64/5","title":"Glaucous gull Elliott Coats-reference-data","year":2021,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Seabird; Generalist and specialist species; Habitat; Predation; Pelagic zone; Bird migration; Larus","score_opus":0.10340388106242462,"score_gpt":0.3297388563997601,"score_spread":0.22633497533733546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950720576","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007847018,0.00004482991,0.00003644135,0.000027164071,0.00000949985,0.000007919389,0.9983718,0.00007653949,0.0006411568],"genre_scores_gemma":[0.00136732,0.000031433992,0.00017292869,0.000023502997,0.0000029444564,0.000036969446,0.99743396,0.000030690164,0.00090026495],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994848,0.000054315333,0.000059939142,0.000171181,0.000120474426,0.000109279514],"domain_scores_gemma":[0.9983852,0.0001935885,0.00024125149,0.00027734265,0.00074837473,0.0001542573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054466736,0.0009365553,0.0006816218,0.0020601999,0.0007469331,0.0010909209,0.0015786272,0.00091661984,0.025137803],"category_scores_gemma":[0.0027770111,0.00041593405,0.0006349319,0.0039676805,0.00029177425,0.0005198266,0.0010428563,0.00065529684,0.022035157],"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":[0.00013014225,0.000027742013,0.014675189,0.0006133796,0.00007704689,0.00008626909,0.00010168133,0.0005022608,0.00023830315,0.0005649222,0.9793785,0.003604573],"study_design_scores_gemma":[0.0001941381,0.000027611844,0.0893099,0.00053838507,0.00006595171,0.00009708688,0.00030825278,0.00086674566,0.00038649736,0.0003928098,0.9077629,0.000049683305],"about_ca_topic_score_codex":0.49506715,"about_ca_topic_score_gemma":0.6712299,"teacher_disagreement_score":0.49506715,"about_ca_system_score_codex":0.0017693066,"about_ca_system_score_gemma":0.0027546696,"threshold_uncertainty_score":0.98437107},"labels":[],"label_agreement":null},{"id":"W6950858239","doi":"10.5441/001/1.1rc3hj8d/1","title":"Movement of long-tailed ducks marked on the Yukon-Kuskokwim Delta, Alaska 1998-2000 (data from Petersen et al. 2003)","year":2016,"lang":"en","type":"dataset","venue":"Movebank","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","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":"Waterfowl; Peninsula; Population; Wildlife; Habitat; Moulting; Wetland; Aerial survey","score_opus":0.034722837996088475,"score_gpt":0.2932053641645903,"score_spread":0.2584825261685018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950858239","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988084,0.000053880936,0.000023544879,0.0000034021632,0.0000018977723,0.000004136625,0.0007151792,0.0000020913358,0.0003875739],"genre_scores_gemma":[0.9969277,0.0001287259,0.00015630996,0.000009510712,0.0000015883811,0.000013553331,0.0016822872,0.0000011693818,0.0010792456],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99994385,0.0000059872414,0.0000077155855,0.00002009015,0.000012349369,0.000009862917],"domain_scores_gemma":[0.99983144,0.00001548063,0.000062083825,0.000009846133,0.000043558586,0.000037636615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012740066,0.00015811219,0.000118188014,0.00056549936,0.00032638694,0.00020904427,0.00019073221,0.00015617047,0.0009990575],"category_scores_gemma":[0.00020090645,0.000117669624,0.00011268471,0.0003975078,0.00016331795,0.00018249481,0.00024486397,0.00011919623,0.00026286262],"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":[0.00007012437,0.000017583885,0.99434054,0.000020565725,0.000023363613,0.000114306065,0.0004954322,0.000078370445,0.0013466531,0.000006733457,0.00022553484,0.0032605885],"study_design_scores_gemma":[0.0000011320014,0.000023694778,0.9993654,0.0000040091395,0.0000052823375,0.00004614537,0.00025533926,0.000029598028,0.000065930464,0.0000014339921,0.00020119731,8.9020676e-7],"about_ca_topic_score_codex":0.08635829,"about_ca_topic_score_gemma":0.28150895,"teacher_disagreement_score":0.08635829,"about_ca_system_score_codex":0.00037741513,"about_ca_system_score_gemma":0.00021174176,"threshold_uncertainty_score":0.1717112},"labels":[],"label_agreement":null},{"id":"W6969031665","doi":"10.5441/001/1.j0d889f0/2","title":"Marbled Murrelet satellite tracking data from British Columbia Canada 2014-2016-reference-data","year":2022,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Habitat; Population; Seasonal breeder; Satellite tracking; Marbled meat; Kernel density estimation; Submarine pipeline","score_opus":0.0643874100343037,"score_gpt":0.2699016994106102,"score_spread":0.2055142893763065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969031665","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012654699,0.00021930765,0.00014002465,0.00007340592,0.00002143084,0.000037592,0.9840342,0.00011846476,0.0027008469],"genre_scores_gemma":[0.019292258,0.00023983204,0.0004947159,0.000043206113,0.0000070064293,0.0001395015,0.97311825,0.000044285203,0.0066208956],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948597,0.000022948656,0.000046797,0.00012350043,0.00019778177,0.00012297614],"domain_scores_gemma":[0.99702364,0.00012506763,0.0002515516,0.00022100238,0.0021267552,0.00025202654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042753626,0.0010317832,0.0007071239,0.0036356258,0.0015204027,0.0012148126,0.001443125,0.00052997837,0.013075744],"category_scores_gemma":[0.0022332135,0.0005131923,0.00040660155,0.009137239,0.00033233516,0.00036971492,0.00075281534,0.00064793095,0.007782491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022079897,0.000078266785,0.12954992,0.00066852017,0.00018058025,0.00027186985,0.0005221656,0.0019235935,0.00057596306,0.0006406267,0.8450852,0.020282568],"study_design_scores_gemma":[0.000105057276,0.000027390777,0.4549907,0.00050486607,0.00010925249,0.00014511336,0.0011393605,0.0019463097,0.0007682766,0.00018691737,0.5399857,0.0000910678],"about_ca_topic_score_codex":0.9876274,"about_ca_topic_score_gemma":0.994187,"teacher_disagreement_score":0.013075744,"about_ca_system_score_codex":0.00881512,"about_ca_system_score_gemma":0.014144472,"threshold_uncertainty_score":0.063958526},"labels":[],"label_agreement":null},{"id":"W6969082588","doi":"10.5441/001/1.b3b511d2/1","title":"Peregrine Falcon, High Arctic Institute, northwest Greenland","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Arctic; Population; Range (aeronautics); Climate change; Groenlandia; Peregrinus; Arctic ecology","score_opus":0.01952512584646145,"score_gpt":0.24485757560144067,"score_spread":0.2253324497549792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969082588","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960202,0.00053535326,0.00033772006,0.00036248835,0.000048430516,0.00006264823,0.0039014714,0.00009422568,0.03445569],"genre_scores_gemma":[0.93773293,0.0008905156,0.0036872935,0.0004872724,0.000032296724,0.00010842138,0.0046877363,0.00004298645,0.05233048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987745,0.000014132886,0.000005021476,0.000050316798,0.000027153921,0.00002588704],"domain_scores_gemma":[0.9997888,0.000014206629,0.000048051148,0.000013372852,0.0000628788,0.000072657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017423157,0.00026514154,0.000092410475,0.0005346044,0.0010324061,0.000360844,0.00032079947,0.00013954238,0.005753075],"category_scores_gemma":[0.00022499934,0.000114978975,0.000056743123,0.00048194802,0.00019348638,0.00024290955,0.00037756233,0.0001614688,0.0012844726],"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":[0.00033125933,0.00020914273,0.8061681,0.00013059465,0.000039728515,0.001812753,0.002853334,0.0002443278,0.009237853,0.00044697974,0.025010606,0.15351535],"study_design_scores_gemma":[0.0000070874494,0.00006087601,0.9740502,0.00003853282,0.00001050348,0.00050307077,0.0023362013,0.00017235664,0.0004322558,0.00005588327,0.022327976,0.000004972558],"about_ca_topic_score_codex":0.22177781,"about_ca_topic_score_gemma":0.58419997,"teacher_disagreement_score":0.22177781,"about_ca_system_score_codex":0.0012678952,"about_ca_system_score_gemma":0.00108342,"threshold_uncertainty_score":0.44097382},"labels":[],"label_agreement":null},{"id":"W6969337997","doi":"10.5441/001/1.558kn337/7","title":"LTJA_GLS_02","year":2022,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","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":"Foraging; Arctic; Spring (device); Productivity; Resource (disambiguation); Flyway; Habitat","score_opus":0.016157761846315295,"score_gpt":0.2659047602609481,"score_spread":0.24974699841463283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969337997","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00294975,0.0013061329,0.0019463904,0.0058815987,0.0050517786,0.00020284018,0.020772057,0.010631488,0.951258],"genre_scores_gemma":[0.008148675,0.00067261775,0.0014420169,0.001693194,0.0009200269,0.00011514927,0.01603789,0.002142528,0.9688279],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953985,0.00006584432,0.000031481137,0.00013736464,0.00012468344,0.00010083913],"domain_scores_gemma":[0.9987533,0.00012787215,0.000058181577,0.00020891672,0.00033169286,0.00051995576],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00085066864,0.0008187578,0.0006154507,0.0011056662,0.0011481007,0.004846109,0.001348,0.0026542458,0.8538081],"category_scores_gemma":[0.0011301236,0.000417202,0.00074426545,0.0008849949,0.00060443685,0.0015592715,0.0024360071,0.0017018807,0.79917026],"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":[0.0003227359,0.00021239216,0.0011253761,0.0002722087,0.000017180295,0.0002724301,0.000081026104,0.00019064912,0.002067304,0.0043930206,0.77576977,0.21527585],"study_design_scores_gemma":[0.000031768162,0.000032178243,0.00096901425,0.0000937235,0.0000037159145,0.00009770046,0.000027656728,0.000111319576,0.00027468117,0.00042150365,0.9979291,0.000007665917],"about_ca_topic_score_codex":0.003689216,"about_ca_topic_score_gemma":0.0037540027,"teacher_disagreement_score":0.8538081,"about_ca_system_score_codex":0.001280468,"about_ca_system_score_gemma":0.0017934385,"threshold_uncertainty_score":0.208525},"labels":[],"label_agreement":null},{"id":"W6969414597","doi":"10.5441/001/1.3gg33bd4","title":"Data from: Study \"Arctic fox Bylot - Argos tracking\"","year":2021,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","cited_by":1,"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":"Tundra; Arctic; Vulpes; Arctic fox; Range (aeronautics); Predation; Competition (biology); Home range","score_opus":0.1364119893040497,"score_gpt":0.35979671525423834,"score_spread":0.22338472595018863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969414597","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13974875,0.00015989749,0.0016471276,0.00047689368,0.00022586396,0.0006477498,0.78199863,0.0009567198,0.07413837],"genre_scores_gemma":[0.20072466,0.000333475,0.004909089,0.00057697017,0.000111614114,0.0014418828,0.64350677,0.00032372563,0.14807186],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996984,0.000037018937,0.000026826265,0.00007964112,0.000108207525,0.000049998616],"domain_scores_gemma":[0.998912,0.00012816327,0.00012417333,0.00012756382,0.00047724866,0.00023086756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006011388,0.00038685143,0.00023470623,0.00094610755,0.0007463625,0.00047378996,0.00046857816,0.00035355537,0.065573186],"category_scores_gemma":[0.0010043493,0.0001845662,0.00013634177,0.0009554474,0.0001275683,0.00023951552,0.00061337743,0.00019780248,0.026551345],"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":[0.0012204612,0.0003282356,0.30178446,0.0005508767,0.00009797893,0.0003519287,0.0013711595,0.00027848562,0.0053016515,0.00036407963,0.57506156,0.113289066],"study_design_scores_gemma":[0.00015110691,0.00013802784,0.603327,0.00011080403,0.00005813958,0.00006609764,0.00052729633,0.00042856584,0.001145616,0.000055922843,0.39396167,0.000029839799],"about_ca_topic_score_codex":0.25527877,"about_ca_topic_score_gemma":0.48257762,"teacher_disagreement_score":0.25527877,"about_ca_system_score_codex":0.00063617545,"about_ca_system_score_gemma":0.0020197837,"threshold_uncertainty_score":0.50758576},"labels":[],"label_agreement":null},{"id":"W6969520278","doi":"10.5441/001/1.f01v7r80/2","title":"Canadian Ringed Plover geolocation tracking, Bylot Island, Canada (data from Leandri-Breton et al. 2019)-tracks","year":2019,"lang":"en","type":"dataset","venue":"Movebank","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","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":"Flyway; Geolocation; Plover; Circumpolar star; Nearctic ecozone; Charadriiformes; Arctic; Charadrius; Glacier","score_opus":0.11811082296141487,"score_gpt":0.4131444478906195,"score_spread":0.2950336249292046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969520278","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13039401,0.0028370263,0.0057254084,0.00081580563,0.00039939248,0.0005758153,0.74839956,0.0009023826,0.10995058],"genre_scores_gemma":[0.31417716,0.0027909803,0.023043228,0.0007787584,0.000048040063,0.000741029,0.530415,0.00043519097,0.1275705],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993747,0.000035468613,0.000031382246,0.00013391921,0.00029271992,0.00013187919],"domain_scores_gemma":[0.9954847,0.0001201016,0.00023628252,0.00020978076,0.003585146,0.0003639597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008455894,0.00056798063,0.0003889309,0.0021577259,0.0023386134,0.0014232254,0.0011672209,0.00035766265,0.021734891],"category_scores_gemma":[0.0016893937,0.00035384484,0.00039477143,0.0037312752,0.00037569547,0.00053182465,0.0007146526,0.0005693283,0.005052912],"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":[0.00067499804,0.00016416272,0.39184514,0.00079670176,0.0002688152,0.00022674534,0.0013313073,0.0012465453,0.0040264083,0.0022368806,0.42860776,0.16857462],"study_design_scores_gemma":[0.00010028731,0.00008208177,0.6640736,0.00034324857,0.00014942465,0.00011087039,0.0012364005,0.0017868814,0.002006632,0.00023357625,0.32977134,0.00010567468],"about_ca_topic_score_codex":0.99160904,"about_ca_topic_score_gemma":0.99741554,"teacher_disagreement_score":0.021734891,"about_ca_system_score_codex":0.008932128,"about_ca_system_score_gemma":0.023769138,"threshold_uncertainty_score":0.072710454},"labels":[],"label_agreement":null},{"id":"W6969544492","doi":"10.5441/001/1.558kn337/3","title":"Long-tailed Jaeger - GLS - Canadian Arctic-tracks","year":2022,"lang":"en","type":"dataset","venue":"Movebank","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","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":"Foraging; Spring (device); Arctic; Productivity; Resource (disambiguation); Fledge; Heading (navigation); Flyway; Sander","score_opus":0.011162990940847536,"score_gpt":0.2664441924176394,"score_spread":0.25528120147679184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969544492","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735565,0.00077381945,0.0010037475,0.00009642745,0.000032863307,0.000078900404,0.011346886,0.000076136195,0.013034732],"genre_scores_gemma":[0.9808779,0.0003812489,0.0028680677,0.00012233207,0.000011457635,0.000052845342,0.0075116474,0.00002473391,0.008149786],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972826,0.000019694675,0.000015262236,0.000085026215,0.00006591555,0.00008589582],"domain_scores_gemma":[0.9992059,0.000029023047,0.00020334497,0.000048495607,0.00036338996,0.00014992619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027064167,0.00032039083,0.00019034326,0.00075325556,0.0015638825,0.0007003516,0.00040413655,0.00015498488,0.00557522],"category_scores_gemma":[0.0004909154,0.00014691675,0.00018645515,0.0011347503,0.00024452078,0.0002601373,0.00043185172,0.00019347458,0.0011472158],"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":[0.00013072958,0.000035011166,0.9615177,0.00007744807,0.000054901415,0.00013261932,0.0007090134,0.000218991,0.008402265,0.000116142306,0.0023478726,0.026257245],"study_design_scores_gemma":[0.0000018141354,0.000011396726,0.9951999,0.000012533481,0.000010454773,0.000047071455,0.00030994244,0.00010518744,0.00026386583,0.000007599288,0.0040263925,0.000003672449],"about_ca_topic_score_codex":0.79586315,"about_ca_topic_score_gemma":0.9601211,"teacher_disagreement_score":0.20413685,"about_ca_system_score_codex":0.0022176418,"about_ca_system_score_gemma":0.0021279794,"threshold_uncertainty_score":0.4106781},"labels":[],"label_agreement":null}]}