{"id":"W7099290594","doi":"","title":"PYGMY KILLER WHALE (Feresa attenuata): Western North Atlantic Stock","year":2005,"lang":"en","type":"article","venue":"","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Whale; Population; Aerial survey; Abundance (ecology); Stock (firearms); Fauna","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001795483,0.0001533748,0.0001101226,0.0005893292,0.0003724662,0.0002120468,0.0002871387,0.0001610521,0.003350675],"category_scores_gemma":[0.0003237175,0.00007793536,0.00006474934,0.0003689366,0.0001278489,0.0003738985,0.0003438327,0.0001340521,0.0005862835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003608201,"about_ca_system_score_gemma":0.0002215929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0665209,"about_ca_topic_score_gemma":0.1974978,"domain_scores_codex":[0.9999123,0.000005772415,0.000007519837,0.00002426119,0.00003190031,0.0000183012],"domain_scores_gemma":[0.999838,0.000009089577,0.00005584745,0.000009563642,0.00005285826,0.00003458314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001509815,0.00009794593,0.961018,0.00004004319,0.00003619758,0.0005165615,0.0005895302,0.00006438058,0.005621098,0.0000884968,0.001448101,0.0303286],"study_design_scores_gemma":[0.000003183538,0.0000486386,0.9983593,0.000005197833,0.00000912377,0.0001331084,0.000219321,0.0000472185,0.0001162848,0.000009854897,0.001047205,0.000001651799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964123,0.0001763475,0.0000666626,0.00005779796,0.000008354202,0.00001799235,0.000630191,0.000008532095,0.002621697],"genre_scores_gemma":[0.9956928,0.000199551,0.0003098458,0.00008227529,0.00001159546,0.00002376172,0.0008164095,0.000002206937,0.002861516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0665209,"threshold_uncertainty_score":0.1322674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06342120375177171,"score_gpt":0.3626490375460285,"score_spread":0.2992278337942568,"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."}}