{"id":"W2011946088","doi":"10.1111/j.1748-7692.2004.tb01161.x","title":"PYGMY FIN WHALES","year":2004,"lang":"fr","type":"article","venue":"Marine Mammal Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Petrel Robertson Consulting (Canada)","funders":"","keywords":"Citation; Genealogy; History; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006236772,0.0005128043,0.0003712154,0.003142518,0.0006439875,0.0009347813,0.000402934,0.0005407824,0.01067771],"category_scores_gemma":[0.0004320586,0.0001995348,0.0002409358,0.002025604,0.0004721489,0.001095339,0.001323815,0.0003558657,0.001726985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483148,"about_ca_system_score_gemma":0.0004425208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273081,"about_ca_topic_score_gemma":0.04608199,"domain_scores_codex":[0.9997975,0.0000372509,0.00001999135,0.00005947264,0.00004686886,0.00003885268],"domain_scores_gemma":[0.9997922,0.0000450133,0.00003091441,0.00002844433,0.0000683946,0.00003516183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007165629,0.00007623463,0.1007695,0.002489788,0.0004012132,0.001243958,0.002156783,0.0002720721,0.02126281,0.004252628,0.02657511,0.8397832],"study_design_scores_gemma":[0.00002274642,0.0005122332,0.4504618,0.0004713352,0.0003884465,0.001645088,0.002727504,0.00008579712,0.004766061,0.002234679,0.536659,0.00002520634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4484299,0.2488015,0.007462979,0.006799142,0.001439391,0.0001560113,0.005189313,0.0004650727,0.2812567],"genre_scores_gemma":[0.5746825,0.2345436,0.007486814,0.003277111,0.001748218,0.000163533,0.004652942,0.0001385337,0.1733067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01273081,"threshold_uncertainty_score":0.03572047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699169369292586,"score_gpt":0.2402960187155112,"score_spread":0.2233043250225854,"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."}}