{"id":"W2016698051","doi":"10.1093/icesjms/fsu212","title":"Design and implementation of electronic monitoring in the British Columbia groundfish hook and line fishery: a retrospective view of the ingredients of success","year":2014,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University; Fisheries and Oceans Canada; Vancouver Island University","funders":"","keywords":"Groundfish; Fishery; Fishing; Rockfish; Hook; Government (linguistics); Process (computing); Business; Computer science; Sebastes; Slush; Fish <Actinopterygii>; Fisheries management; Environmental resource management; Environmental science; Geography; Engineering","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":[0.02394998,0.0005396915,0.000302274,0.001462189,0.004201907,0.005487023,0.002138306,0.00100889,0.001978866],"category_scores_gemma":[0.03142404,0.0008564224,0.0003210354,0.001702466,0.002649688,0.001815074,0.002935066,0.001596305,0.00035541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03916254,"about_ca_system_score_gemma":0.08446384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5797256,"about_ca_topic_score_gemma":0.6630061,"domain_scores_codex":[0.9786677,0.008684035,0.0009841742,0.001346763,0.004788627,0.005528604],"domain_scores_gemma":[0.9703873,0.007321486,0.002778713,0.001666219,0.01308627,0.004760008],"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":[0.001398667,0.006089729,0.3700752,0.001748557,0.0001027859,0.001346342,0.06464047,0.007573008,0.01087219,0.00505237,0.007451355,0.5236493],"study_design_scores_gemma":[0.0003080859,0.00994922,0.7888622,0.001219488,0.000175491,0.0001609308,0.1297067,0.005558278,0.008614735,0.0005167456,0.05473879,0.0001891954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614005,0.0002521612,0.004063279,0.002143342,0.00004128871,0.006205864,0.0003523792,0.0002437464,0.02529748],"genre_scores_gemma":[0.9627591,0.0004775136,0.02001545,0.0008097024,0.0000194716,0.003514089,0.0005046649,0.00005348977,0.01184645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4202744,"threshold_uncertainty_score":0.8454989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056871876844769,"score_gpt":0.2700828820135646,"score_spread":0.2595141632451169,"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."}}