{"id":"W2905503709","doi":"10.1121/2.0000940","title":"Integrating passive acoustic and visual surveys for marine mammals in coastal habitats","year":2018,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; World Wildlife Fund Canada; University of Victoria","funders":"World Wildlife Fund","keywords":"Humpback whale; Habitat; Hydrophone; Marine mammal; Whale; Bioacoustics; Baseline (sea); Oceanography; Underwater; Acoustics; Environmental science; Geography; Fishery; Geology; Ecology; Biology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002426399,0.0005418616,0.0004053873,0.002349025,0.0006545612,0.001101923,0.0008339519,0.000370215,0.001311522],"category_scores_gemma":[0.004310442,0.0004072993,0.0001794191,0.002015202,0.0005555925,0.0007713226,0.001216883,0.0003461909,0.0004167957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008772459,"about_ca_system_score_gemma":0.001377252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1642324,"about_ca_topic_score_gemma":0.4730361,"domain_scores_codex":[0.9982455,0.0004770012,0.0001036055,0.0004432453,0.000580857,0.0001498284],"domain_scores_gemma":[0.9943667,0.001232531,0.001048823,0.0006352079,0.002206309,0.0005103501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007579387,0.00009321195,0.9118698,0.0001603673,0.0001028969,0.00005119727,0.0009536456,0.0004004871,0.0198838,0.00007411963,0.0006082447,0.06572649],"study_design_scores_gemma":[0.000002112311,0.00009729262,0.9967123,0.00001626725,0.00002068984,0.00003666056,0.0005454092,0.0003110429,0.0009367201,0.00003726409,0.001275832,0.000008389567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610775,0.001000453,0.02451057,0.000208435,0.000075541,0.0002682245,0.00348806,0.0001548251,0.009216527],"genre_scores_gemma":[0.9540889,0.001037034,0.03556946,0.0002185304,0.0001207273,0.0003445396,0.003732898,0.00006681295,0.004821123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1642324,"threshold_uncertainty_score":0.326553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396327103409905,"score_gpt":0.2633321174716393,"score_spread":0.2493688464375402,"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."}}