{"id":"W2116981252","doi":"10.1007/s11160-004-5422-y","title":"Retrospective evaluation of data-limited fisheries: a case from Hong Kong","year":2004,"lang":"en","type":"article","venue":"Reviews in Fish Biology and Fisheries","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Eye Institute; University of Hong Kong","keywords":"Fishery; Fishing; Ecosystem; Dominance (genetics); Fisheries management; Resource (disambiguation); Fisheries science; Marine ecosystem; Benthic zone; Stock assessment; Environmental resource management; Biology; Ecology; Computer science","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":[0.009280706,0.000300627,0.0003311091,0.001638548,0.002887607,0.002431522,0.001456086,0.001540335,0.0023587],"category_scores_gemma":[0.02787993,0.0004528504,0.0002966916,0.003129198,0.001996946,0.001324978,0.002267151,0.001493892,0.0002095234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007099419,"about_ca_system_score_gemma":0.01392243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4353158,"about_ca_topic_score_gemma":0.4226059,"domain_scores_codex":[0.9965388,0.001294573,0.0005811857,0.0002903822,0.0004768623,0.0008182739],"domain_scores_gemma":[0.9633053,0.01529874,0.006655029,0.003419771,0.008639612,0.002681558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002170966,0.000100902,0.8979755,0.0002446546,0.00008429988,0.04469733,0.03313363,0.0005334785,0.0004738234,0.00221834,0.002867615,0.01745339],"study_design_scores_gemma":[0.00003268586,0.0003346253,0.8081517,0.001011082,0.0002497814,0.01795875,0.1387441,0.002289043,0.001288408,0.001089942,0.02874302,0.0001068397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889472,0.0009866187,0.0006280764,0.004244421,0.00002944704,0.0001062696,0.000455796,0.00001333343,0.00458876],"genre_scores_gemma":[0.995434,0.00102762,0.0007369182,0.0009508343,0.00002707946,0.00003178643,0.000164566,0.00001747323,0.001609719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4353158,"threshold_uncertainty_score":0.865564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08901581023292754,"score_gpt":0.3132840591237074,"score_spread":0.2242682488907798,"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."}}