{"id":"W2792738723","doi":"","title":"Hydrocarbons in sea otters (Enhydra lutris) and their habitat in coastal British Columbia, Canada","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Habitat; Fishery; Geography; Otter; Ecology; Mustelidae; Biology","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":[0.0001664047,0.0001799678,0.0002034231,0.001158588,0.001859957,0.0008405212,0.0004458166,0.0003087832,0.001540856],"category_scores_gemma":[0.0004959957,0.0002143817,0.0001737556,0.003137597,0.0006297055,0.0002950505,0.0004275858,0.0003841754,0.0002399756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00918324,"about_ca_system_score_gemma":0.00664684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919397,"about_ca_topic_score_gemma":0.9981599,"domain_scores_codex":[0.9998167,0.00001412152,0.00001030167,0.00002946165,0.00005345241,0.00007610506],"domain_scores_gemma":[0.999297,0.00003490722,0.0001023412,0.00001298559,0.0003841774,0.0001685044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001004598,0.0000460885,0.9880916,0.00004245621,0.000042105,0.0001207798,0.002168977,0.0001172336,0.0009038465,0.00005967418,0.001035342,0.007271357],"study_design_scores_gemma":[9.761034e-7,0.000007264858,0.9971408,0.00001121688,0.000006450754,0.00002003219,0.002275847,0.00002421361,0.00003759537,0.000005176914,0.0004673678,0.000003035276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963355,0.000474052,0.00002586399,0.00008715015,0.000006425561,0.00000991843,0.001373648,0.000002418172,0.001685026],"genre_scores_gemma":[0.9940603,0.001126312,0.0001284865,0.00007381017,0.000003399081,0.00001188026,0.001033005,0.000003075107,0.003559583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00918324,"threshold_uncertainty_score":0.06662941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003799654381267563,"score_gpt":0.1818632170692097,"score_spread":0.1780635626879422,"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."}}