{"id":"W3108511657","doi":"10.7557/3.5579","title":"Distribution and Abundance of Killer Whales in the Central North Atlantic, 1987-2015","year":2020,"lang":"en","type":"article","venue":"NAMMCO Scientific Publications","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bayer (Canada)","funders":"","keywords":"Geography; Abundance (ecology); Aerial survey; Fishery; Whale; Biology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003129083,0.00007630898,0.00009833203,0.00001835391,0.0002438906,0.0001218161,0.0004018972,0.00002092913,0.0003670069],"category_scores_gemma":[0.0002296245,0.0000567376,0.00002986878,0.001220736,0.0004566198,0.0002751798,0.0002663518,0.00008452655,0.00007904011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004944853,"about_ca_system_score_gemma":0.00001777162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008590149,"about_ca_topic_score_gemma":0.009354305,"domain_scores_codex":[0.998879,0.00005056313,0.0002081336,0.0003100054,0.0003293007,0.0002229782],"domain_scores_gemma":[0.9995024,0.00005076972,0.0000861171,0.00024941,0.00002634258,0.00008492256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002650076,0.00007152599,0.9300505,0.00001198583,0.000003246015,3.161481e-7,0.0009095685,0.00002183915,0.00009630783,0.002428401,0.0637861,0.002617588],"study_design_scores_gemma":[0.00006604272,0.000009937419,0.7102408,0.000002364204,0.000004558412,9.671917e-7,0.00009310591,0.000445634,0.000007838124,0.00005380009,0.2890292,0.00004573641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792048,0.0001489104,0.0002870851,0.01546886,0.00007715991,0.0003069727,0.0000710212,0.0000224891,0.004412708],"genre_scores_gemma":[0.9991983,0.0000666152,0.0001307849,0.0002194877,0.00001748817,0.00002592189,0.0001310766,0.000003105511,0.0002072472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2252431,"threshold_uncertainty_score":0.5219921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472415160875215,"score_gpt":0.2413846602961826,"score_spread":0.2166605086874304,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}