{"id":"W3022265882","doi":"10.1111/ecog.04979","title":"Geographical differences in habitat relationships of cetaceans across an ocean basin","year":2020,"lang":"en","type":"article","venue":"Ecography","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Southeast Fisheries Science Center; Northeast Fisheries Science Center; U.S. Navy","keywords":"Structural basin; Habitat; Cetacea; Generalized additive model; Taxon; Porpoise; Geography; Geology; Physical geography; Oceanography; Ecology; Biology; Paleontology; Statistics","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":[0.000653302,0.0002386957,0.0003373777,0.0007187973,0.000223823,0.0006201699,0.0002961832,0.0003402663,0.001102311],"category_scores_gemma":[0.002589932,0.0003206915,0.0007456561,0.0006844401,0.0004614913,0.0004209966,0.0009192856,0.0002636688,0.000132632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002699781,"about_ca_system_score_gemma":0.0002269726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008361368,"about_ca_topic_score_gemma":0.01439154,"domain_scores_codex":[0.9996663,0.0001148359,0.00002754302,0.0001298521,0.0000251633,0.00003634732],"domain_scores_gemma":[0.9988212,0.0005484549,0.0002342968,0.0002011342,0.00009910481,0.0000957491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007599682,0.00002485518,0.9762459,0.00002137014,0.0002871478,0.00007508886,0.0003501376,0.01141634,0.005985217,0.0002193317,0.00006359656,0.005234974],"study_design_scores_gemma":[0.000003018187,0.00002262993,0.989096,0.000003424597,0.00002832151,0.00003855073,0.000169145,0.01021936,0.000103015,0.0001638247,0.0001460634,0.000006603459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992577,0.00003535771,0.000399282,0.0000111879,7.817118e-7,0.000001742191,0.00006392985,0.0000100984,0.0002198246],"genre_scores_gemma":[0.9995545,0.00002221396,0.0002181837,0.000003681781,5.258547e-7,0.00000279917,0.0001311922,0.000004537647,0.00006244096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008361368,"threshold_uncertainty_score":0.0166254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04365499468046343,"score_gpt":0.2477813575840296,"score_spread":0.2041263629035662,"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."}}