{"id":"W2622900939","doi":"10.1121/1.4988628","title":"Auditioning fish for sound production in captivity to contribute to a catalogue of known fish sounds to inform regional passive acoustic studies","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Soundscape; Sound (geography); Fish <Actinopterygii>; Fishery; Noise (video); Environmental science; Captivity; Ambient noise level; Aquaculture; Bioacoustics; Underwater; Diversity of fish; Sound production; Natural sounds; Computer science; Oceanography; Ecology; Acoustics; Biology; Telecommunications; Geology","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":[0.001996972,0.0005228133,0.0003340285,0.007596047,0.001153495,0.00103578,0.0006539243,0.0002883435,0.01271683],"category_scores_gemma":[0.002081695,0.0002818577,0.0003069897,0.003369857,0.000290904,0.0007231888,0.001704419,0.0005240071,0.005389488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006753751,"about_ca_system_score_gemma":0.00131782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04102946,"about_ca_topic_score_gemma":0.1316598,"domain_scores_codex":[0.9993125,0.00008870649,0.00009790889,0.0001193762,0.0002948416,0.00008664888],"domain_scores_gemma":[0.9969159,0.0002762118,0.0005170318,0.0003967002,0.001473224,0.0004208166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002649322,0.0002568713,0.4918786,0.001115799,0.0001051104,0.0007406049,0.005175961,0.0003339139,0.02507252,0.0006054789,0.04137214,0.433078],"study_design_scores_gemma":[0.000005532594,0.000149786,0.9438177,0.0003181592,0.00004314399,0.0004492703,0.001811929,0.0001566621,0.001622662,0.0001597801,0.05143513,0.00003033828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7036308,0.01068486,0.02627193,0.001616782,0.0008523945,0.003216386,0.06423069,0.002120148,0.1873761],"genre_scores_gemma":[0.6966985,0.01486255,0.1272849,0.001461438,0.0005921049,0.004133407,0.0726743,0.0006542826,0.08163851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04102946,"threshold_uncertainty_score":0.08158129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707541809317684,"score_gpt":0.3013968176735237,"score_spread":0.2643213995803469,"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."}}