{"id":"W7104628314","doi":"10.5683/sp3/mbt82v","title":"Knock Knock, who's there? Identifying wild species-specific fish sounds with passive acoustic localization and random forest models","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Underwater; Bioacoustics; Fish <Actinopterygii>; Natural sounds; Sound (geography); Random forest","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":[0.001303701,0.002213338,0.001334668,0.002413889,0.001037358,0.001832714,0.002388093,0.001589618,0.01547263],"category_scores_gemma":[0.005229117,0.0004562809,0.001228317,0.002394765,0.0005013401,0.000914381,0.001615307,0.001211534,0.02944163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721389,"about_ca_system_score_gemma":0.001583459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07997973,"about_ca_topic_score_gemma":0.1980902,"domain_scores_codex":[0.9984702,0.0001955618,0.0001131467,0.0004869081,0.0005215966,0.000212463],"domain_scores_gemma":[0.997925,0.0005289046,0.0001888092,0.0005355462,0.0006240779,0.0001975952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001938118,0.00006716771,0.01082346,0.0005999687,0.00008227339,0.0000971433,0.00009531391,0.0009355978,0.0009163597,0.0004660529,0.9673535,0.01836921],"study_design_scores_gemma":[0.0001819315,0.0000660661,0.04552459,0.0003616559,0.0001123302,0.0004497355,0.0004529822,0.006946737,0.003022459,0.00224693,0.9404944,0.0001403134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003293336,0.0002994387,0.001189261,0.0001672893,0.0001427946,0.00003520457,0.9893407,0.002796044,0.002735809],"genre_scores_gemma":[0.004645568,0.00006788415,0.002372701,0.00006683196,0.0000198797,0.00007431196,0.9911642,0.0002039791,0.001384716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07997973,"threshold_uncertainty_score":0.1590284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326564845753097,"score_gpt":0.2473905888701266,"score_spread":0.2241249404125956,"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."}}