{"id":"W2603616566","doi":"10.1002/eap.1533","title":"Acoustic telemetry and fisheries management","year":2017,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":395,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Windsor; Dalhousie University","funders":"","keywords":"Fisheries management; Telemetry; Fisheries science; Fish stock; Environmental resource management; Stock assessment; Process (computing); Work (physics); Fishery; Computer science; Fish <Actinopterygii>; Ecology; Business; Engineering; Environmental science; Fishing; Telecommunications; Biology","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":[0.003525963,0.000525689,0.0004430827,0.002275451,0.0007345875,0.003190188,0.0008422831,0.002037002,0.007126842],"category_scores_gemma":[0.01047301,0.0002037053,0.0002848847,0.002458823,0.003625359,0.004504641,0.001918471,0.001296919,0.001134167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829895,"about_ca_system_score_gemma":0.002145795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009386306,"about_ca_topic_score_gemma":0.008238782,"domain_scores_codex":[0.9978113,0.000879907,0.0002236211,0.0002360797,0.0007348128,0.0001143422],"domain_scores_gemma":[0.9943634,0.003991161,0.0007780601,0.0001566816,0.0005985271,0.0001121915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006767699,0.00007863226,0.01730959,0.001639388,0.0000621779,0.0002548839,0.001917295,0.00257809,0.0007602241,0.1876023,0.02710193,0.7606278],"study_design_scores_gemma":[0.00001740702,0.0002299587,0.03641189,0.005022811,0.00005834598,0.0009377687,0.005607408,0.001939309,0.0008437275,0.1754797,0.7733097,0.0001419461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02358546,0.6155375,0.03491169,0.1028434,0.007493648,0.0001113407,0.0003974687,0.0001368194,0.2149827],"genre_scores_gemma":[0.2801048,0.6442502,0.02217962,0.01058241,0.00992383,0.0001632224,0.0003002661,0.00007066747,0.03242498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009386306,"threshold_uncertainty_score":0.02384162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199576900808603,"score_gpt":0.2337971179895796,"score_spread":0.2218013489814936,"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."}}