{"id":"W2127097494","doi":"10.1139/f10-146","title":"How useful is the ratio of fish density outside versus inside no-take marine reserves as a metric for fishery management control rules?","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Fish stock; Fishery; Fisheries management; Biological dispersal; Stock (firearms); Environmental science; Biomass (ecology); Marine reserve; Density dependence; Fish <Actinopterygii>; Overfishing; Ecology; Biology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.009206581,0.001007466,0.001351344,0.002583566,0.0004336038,0.002638023,0.001364068,0.001344122,0.0007493882],"category_scores_gemma":[0.04683039,0.0003238608,0.0007342044,0.001733225,0.0008858044,0.002543211,0.0004999507,0.0006949982,0.0003007293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109436,"about_ca_system_score_gemma":0.000587323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01270555,"about_ca_topic_score_gemma":0.01395211,"domain_scores_codex":[0.9936736,0.003101808,0.0005948458,0.0008887986,0.001543984,0.0001970388],"domain_scores_gemma":[0.9604464,0.02307003,0.009214535,0.002137113,0.004201794,0.0009301612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009537017,0.0005613634,0.7520665,0.0001989656,0.0008421366,0.00008087036,0.0002361604,0.03454595,0.002112379,0.001340012,0.001976015,0.2050859],"study_design_scores_gemma":[0.000193917,0.003003892,0.7101324,0.0002443808,0.0005921868,0.0004959726,0.000901451,0.2704602,0.005925995,0.004425043,0.003309831,0.0003147776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390966,0.00290221,0.04266548,0.00176832,0.0001610562,0.0001708363,0.00113286,0.0003621657,0.01174044],"genre_scores_gemma":[0.9882324,0.0002324855,0.01078185,0.0001359652,0.00003457046,0.00003546386,0.0002525918,0.00002299562,0.0002717199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270555,"threshold_uncertainty_score":0.0486896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885883614270679,"score_gpt":0.2353275347159846,"score_spread":0.1864686985732779,"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."}}