{"id":"W2121907597","doi":"10.1139/f00-225","title":"The Precautionary Approach and risk management: can they increase the probability of successes in fishery management?","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precautionary principle; Risk management; Fishing; Fish stock; Fisheries management; Business; Portfolio; Stock (firearms); Equity (law); Fishery; Environmental resource management; Natural resource economics; Risk analysis (engineering); Actuarial science; Economics; Finance; Ecology; 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":[0.03123224,0.001226711,0.001745544,0.003645616,0.001524374,0.004402501,0.001735156,0.005256911,0.01131724],"category_scores_gemma":[0.182271,0.0005602473,0.001092799,0.002860011,0.008886226,0.01557195,0.004923078,0.003110373,0.001303366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002932691,"about_ca_system_score_gemma":0.0037385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398804,"about_ca_topic_score_gemma":0.005858778,"domain_scores_codex":[0.9770145,0.01511133,0.0007468983,0.0009983196,0.005247041,0.000881802],"domain_scores_gemma":[0.808599,0.1470019,0.02423644,0.006365753,0.008100858,0.005696058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008103587,0.0006380737,0.06910692,0.001360127,0.0006545206,0.0003034469,0.00152748,0.02026326,0.0003522021,0.402904,0.01421298,0.4878666],"study_design_scores_gemma":[0.0001306264,0.001092676,0.05073485,0.001509698,0.0002680617,0.0004792586,0.001477342,0.018505,0.0005142518,0.8909698,0.03411816,0.0002003069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1528448,0.1280937,0.2302103,0.2323276,0.002915009,0.0007258197,0.0006058624,0.0003862922,0.2518906],"genre_scores_gemma":[0.9315314,0.02526439,0.0296703,0.004213226,0.002261501,0.0005340414,0.00007086757,0.00006927129,0.006385025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03123224,"threshold_uncertainty_score":0.1651738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631716576572423,"score_gpt":0.2134993849852549,"score_spread":0.1971822192195307,"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."}}