{"id":"W1918040932","doi":"10.7939/r3ff3m12c","title":"Metrics for Assessing Fisheries Productivity and Offsetting Strategies under Canada’s New Fisheries Act","year":2014,"lang":"en","type":"article","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fishery; Productivity; Fisheries management; Fishing; Business; Natural resource economics; Environmental resource management; Economics; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008039151,0.000965564,0.0005945083,0.01537783,0.002948106,0.005006007,0.001720469,0.0006974339,0.004130831],"category_scores_gemma":[0.02973708,0.0003230756,0.000772101,0.01858768,0.001379093,0.001825331,0.001680357,0.001476903,0.0005249397],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09034552,"about_ca_system_score_gemma":0.1522531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9849761,"about_ca_topic_score_gemma":0.990531,"domain_scores_codex":[0.9804857,0.001775676,0.0007434508,0.0004596918,0.01503152,0.001503999],"domain_scores_gemma":[0.9700228,0.002164237,0.00210098,0.0007342303,0.0230475,0.001930207],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001994477,0.0002538545,0.2392958,0.0005048242,0.0002845102,0.0001234881,0.002141429,0.02560685,0.0004410329,0.1827598,0.3190881,0.2293009],"study_design_scores_gemma":[0.00004340937,0.0001307574,0.6101211,0.0007902893,0.0001063069,0.000106736,0.005817342,0.03003694,0.0008584192,0.01995753,0.3318087,0.000222536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1567359,0.01007003,0.03334029,0.01428651,0.001083499,0.002582415,0.1638839,0.00123465,0.6167829],"genre_scores_gemma":[0.8172982,0.005337879,0.06047488,0.0009825433,0.0001039573,0.001845902,0.05031795,0.0002665546,0.06337219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9919608,"threshold_uncertainty_score":0.6555057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033527514959421,"score_gpt":0.2631449577009927,"score_spread":0.2328096825513985,"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."}}