{"id":"W21500167","doi":"10.1177/014556131109000406","title":"Methodology for analyzing at-sea dive behaviour of a marine mammal","year":2013,"lang":"en","type":"dissertation","venue":"Ear Nose & Throat Journal","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Hakai Institute; Simon Fraser University","keywords":"Marine mammal; Oceanography; Mammal; Fishery; Marine engineering; Environmental science; Geography; Computer science; Ecology; Engineering; Biology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001199508,0.0007614111,0.0003936609,0.003050137,0.0009981005,0.0005130676,0.0009930828,0.0005762096,0.01246022],"category_scores_gemma":[0.001203468,0.0003512988,0.0005021321,0.002065038,0.0004744873,0.0002807169,0.0008226921,0.0007415641,0.007553172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948514,"about_ca_system_score_gemma":0.001048106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193667,"about_ca_topic_score_gemma":0.008895844,"domain_scores_codex":[0.998779,0.00017843,0.0001248796,0.0003629053,0.0004519708,0.0001028444],"domain_scores_gemma":[0.9992666,0.00008336055,0.0001046453,0.0001426825,0.0003253657,0.00007752767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003789306,0.0006797707,0.06207906,0.001708926,0.0001176092,0.0008284826,0.002355803,0.0007473532,0.5844771,0.004021527,0.009850767,0.3327546],"study_design_scores_gemma":[0.00008017023,0.004250953,0.4230428,0.000902218,0.0002976831,0.004830171,0.003400447,0.004362805,0.1683567,0.0039656,0.3863434,0.000167066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1991928,0.004465404,0.65683,0.0005881945,0.0007881759,0.02043997,0.03218447,0.002458828,0.0830522],"genre_scores_gemma":[0.09866008,0.003507226,0.8190516,0.000448383,0.0001162541,0.02500359,0.0130488,0.0003591069,0.03980505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01246022,"threshold_uncertainty_score":0.04168355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452438959003859,"score_gpt":0.3238439040429216,"score_spread":0.269319514452883,"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."}}