{"id":"W3030056330","doi":"10.1177/0309133320922417","title":"Whale geography: A species-centric approach applied to migration","year":2020,"lang":"en","type":"article","venue":"Progress in Physical Geography Earth and Environment","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Biogeography; Ecology; Range (aeronautics); Geography; Whale; Biology","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":[0.001842018,0.0009021045,0.0008085704,0.003871717,0.002271383,0.006344532,0.002115871,0.002628001,0.005499778],"category_scores_gemma":[0.004043124,0.0003590837,0.001018757,0.002936547,0.01463124,0.007042229,0.004559965,0.003639262,0.0006318297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002690339,"about_ca_system_score_gemma":0.001285586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062235,"about_ca_topic_score_gemma":0.01035165,"domain_scores_codex":[0.9988977,0.0006249287,0.00006615255,0.0002215935,0.0000942246,0.00009539176],"domain_scores_gemma":[0.998782,0.0006778981,0.0001329715,0.0001411426,0.0001354776,0.0001304681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001354722,0.000010632,0.002344725,0.0002136443,0.00003216789,0.0003729526,0.008523094,0.001599635,0.0002756149,0.9657683,0.004040959,0.01680483],"study_design_scores_gemma":[0.00001080345,0.00008702479,0.006621704,0.0005752693,0.0000595423,0.001126569,0.01303354,0.004693349,0.0002803459,0.6373396,0.3361193,0.000052962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06518012,0.06219725,0.5202292,0.1049312,0.009218726,0.0003740976,0.0007884935,0.0004133158,0.2366676],"genre_scores_gemma":[0.7733035,0.04298365,0.1252904,0.0115265,0.005957696,0.0007829334,0.0003579045,0.0003110139,0.03948634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01062235,"threshold_uncertainty_score":0.02112103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183179462596842,"score_gpt":0.197777520902915,"score_spread":0.1859457262769466,"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."}}