{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001440977,0.000160334,0.0003167183,0.0001332725,0.00007690242,0.00002005689,0.0001728975,0.0001098356,0.003023461],"category_scores_gemma":[0.00004704186,0.0001246816,0.00007538822,0.0001711426,0.0001217383,0.0001408211,0.00015799,0.0003255218,0.004029202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070761,"about_ca_system_score_gemma":0.0001210992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009532629,"about_ca_topic_score_gemma":0.001126415,"domain_scores_codex":[0.998543,0.00005678051,0.0002371807,0.0003295781,0.0003514022,0.0004820625],"domain_scores_gemma":[0.9990372,0.00007561828,0.00003271394,0.0004901608,0.000101533,0.0002627783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002533107,0.0002976823,0.9508159,0.00004550255,0.00006890275,0.000315914,0.0001262993,0.00000361559,0.001860961,0.00001161608,0.03824865,0.007951695],"study_design_scores_gemma":[0.001926173,0.0011051,0.7801948,0.00003512807,0.00004109216,0.002141693,0.0000429506,0.0003898739,0.00007896307,0.000001807729,0.213885,0.0001573783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736995,0.00007524303,0.0001532233,0.01205184,0.0001027375,0.0004573089,0.000002663463,0.0001366556,0.01332088],"genre_scores_gemma":[0.8981488,0.0000364339,0.001858734,0.001401832,0.0004259581,0.00002779002,0.00004342892,0.00003115137,0.09802582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1756364,"threshold_uncertainty_score":0.9978879,"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."}}