{"id":"W2593715183","doi":"10.1111/conl.12360","title":"Trends in Industrial and Artisanal Catch Per Effort in West African Fisheries","year":2017,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Paul G. Allen Family Foundation; University of British Columbia; MAVA Foundation; Pew Charitable Trusts","keywords":"Overexploitation; Overfishing; Fishing; Fishery; Artisanal fishing; Catch per unit effort; Fish stock; Fisheries management; Geography; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001963879,0.00007006792,0.00009436937,0.00006711787,0.0001133852,0.0001160121,0.000164192,0.00004777931,0.003851763],"category_scores_gemma":[0.00007724273,0.00006982417,0.00001366809,0.0001157065,0.0003291105,0.0004000227,0.000165878,0.0001576371,0.00001711572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008107859,"about_ca_system_score_gemma":0.000007965369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0184862,"about_ca_topic_score_gemma":0.01731923,"domain_scores_codex":[0.9993094,0.00002745726,0.0001413788,0.0001827953,0.000153084,0.0001859212],"domain_scores_gemma":[0.9996722,0.00002695376,0.00004784362,0.0002046223,0.000002405703,0.00004596312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002649972,0.00001112271,0.9716088,0.000001291975,0.000001331854,0.00001265104,0.00026573,0.000003442043,0.0007125509,0.000009642081,0.008513022,0.01883398],"study_design_scores_gemma":[0.0003698881,0.00001559405,0.9467978,0.000003049225,0.000001044512,0.000001401159,0.00007027188,0.000202018,0.00002494403,0.00001045145,0.05242666,0.00007683855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251106,6.395714e-7,0.000004720643,0.04793528,0.00004368933,0.000063913,0.000001804035,0.00000554262,0.02683376],"genre_scores_gemma":[0.997134,0.000003893435,0.00007804158,0.001456185,0.00003144919,0.00002157579,0.000007910819,0.000005105952,0.001261831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07202335,"threshold_uncertainty_score":0.9970589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04513198873916648,"score_gpt":0.2623367986896253,"score_spread":0.2172048099504588,"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."}}