{"id":"W4238792341","doi":"10.1002/(sici)1520-6688(200024)19:1<23::aid-pam3>3.3.co;2-3","title":"Net loss: A cost‐benefit analysis of the Canadian Pacific salmon fishery","year":2000,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economic rent; Fishery; Public policy; Business; Private sector; Fisheries management; Government (linguistics); Economics; Resource (disambiguation); Natural resource economics; Agricultural economics; Fishing; Economic growth; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006496881,0.00009972665,0.0004915171,0.001475982,0.0001101749,0.00005870772,0.0001950299,0.00004701415,0.001710412],"category_scores_gemma":[0.000008095842,0.0000856564,0.0005040941,0.001366033,0.00005852547,0.000136117,0.00002874461,0.00007342789,0.00001921991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049312,"about_ca_system_score_gemma":0.00001505755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04433928,"about_ca_topic_score_gemma":0.05888917,"domain_scores_codex":[0.9987919,0.0000176887,0.0007989327,0.0001574913,0.00006192729,0.0001720259],"domain_scores_gemma":[0.9990014,0.00001423367,0.0006022218,0.000254762,0.00001273259,0.0001146797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001286946,0.00007150962,0.9006654,0.00001354396,0.01184542,0.000004380862,0.0004303528,0.04751818,9.153669e-7,0.0262061,0.001450975,0.01178034],"study_design_scores_gemma":[0.0002189975,0.00002063637,0.9503352,0.000004704729,0.00220947,0.000001163273,0.0001246571,0.004648098,0.000002950886,0.002514797,0.03982758,0.00009173158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443741,0.0005322862,0.0003441141,0.003663,0.00005561593,0.0001361573,0.0001052156,0.000001924617,0.05078757],"genre_scores_gemma":[0.994301,0.002276115,0.0001412109,0.0004728236,0.00004579487,0.000002888222,0.00001117636,0.0000058719,0.002743082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04992692,"threshold_uncertainty_score":0.9992021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429787516006122,"score_gpt":0.2136094997334424,"score_spread":0.1793116245733812,"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."}}