{"id":"W2108134017","doi":"10.1644/08-mamm-a-328.1","title":"Sources and Rates of Errors in Methods of Individual Identification for North Atlantic Right Whales","year":2009,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"National Marine Fisheries Service; Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Right whale; Endangered species; Statistics; Term (time); Wildlife; Observational error; Computer science; Whale; Geography; Biology; Ecology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008928062,0.00006420381,0.0002734732,0.00006812507,0.00002324656,0.000005661245,0.0001666943,0.00003073204,0.00007868425],"category_scores_gemma":[0.0001376794,0.00004977225,0.0000526838,0.0001241126,0.0001050737,0.000116,0.00006678241,0.00006449976,8.007137e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001841286,"about_ca_system_score_gemma":0.000006439679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001593805,"about_ca_topic_score_gemma":0.001446015,"domain_scores_codex":[0.999071,0.00009767822,0.0004995977,0.00008317064,0.0001464879,0.0001020609],"domain_scores_gemma":[0.9992013,0.0001593205,0.0005290736,0.00005891158,0.0000229852,0.00002838792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006972949,0.00008739387,0.961356,0.00004454781,0.00002724877,0.000003530997,0.0005619774,0.0001052726,0.004605306,0.0001417855,0.0002097509,0.03278748],"study_design_scores_gemma":[0.0002981296,0.0003250129,0.9936625,0.00001868299,0.00003905283,0.0000228347,0.0001028066,0.00004434518,0.002712377,0.00140148,0.001327477,0.00004535353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984945,0.000585366,0.0004024041,0.0002513351,0.00003039689,0.00008786954,0.00000279734,9.091976e-7,0.0001444096],"genre_scores_gemma":[0.9902493,0.0003259362,0.009343511,0.00004037406,0.0000179536,9.395387e-7,0.000001212743,0.000002825823,0.00001793221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03274213,"threshold_uncertainty_score":0.2029653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023158173031889,"score_gpt":0.3265271964590225,"score_spread":0.2962956147287036,"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."}}