{"id":"W3133932416","doi":"10.1139/cjfas-2020-0399","title":"Increasing value through gear flexibility: a case study of US west coast sablefish","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Flexibility (engineering); Fishery; Bycatch; Value (mathematics); Revenue; Business; Economics; Statistics; Mathematics; Finance","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":[0.001068091,0.0002784342,0.0001862792,0.0008669015,0.001111514,0.001080277,0.0005065444,0.000710837,0.001409305],"category_scores_gemma":[0.003505778,0.0001462047,0.0004210434,0.001070725,0.0009717321,0.0009410442,0.0009912711,0.0005597584,0.00008911254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246752,"about_ca_system_score_gemma":0.001318364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07020539,"about_ca_topic_score_gemma":0.1770344,"domain_scores_codex":[0.9995127,0.0002067957,0.00002190294,0.00005308846,0.00010055,0.000104904],"domain_scores_gemma":[0.9984031,0.0009180595,0.0002376818,0.0001236058,0.0001663423,0.000151104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005052607,0.0009786993,0.8522577,0.0002013266,0.0001829757,0.0129223,0.007194079,0.04000626,0.00470556,0.008291879,0.001960331,0.07079364],"study_design_scores_gemma":[0.0001695859,0.001790965,0.8378319,0.000178161,0.0001685415,0.004660022,0.06530674,0.06056365,0.004397368,0.006865572,0.01793718,0.0001304409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980678,0.00003329547,0.0002812046,0.0001288049,0.000001366772,0.00001229525,0.00003483985,0.000003523714,0.00143697],"genre_scores_gemma":[0.9981699,0.0000785189,0.0009801063,0.00003473761,0.000001908148,0.000009685499,0.00003495591,0.000002613705,0.000687565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07020539,"threshold_uncertainty_score":0.1395935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04532951858992228,"score_gpt":0.2766849735924966,"score_spread":0.2313554550025743,"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."}}