{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002419934,0.0001135628,0.00006269884,0.001176855,0.0001361128,0.0003303136,0.0001458367,0.0001022303,0.002030576],"category_scores_gemma":[0.001360354,0.00007848989,0.00008084828,0.001637781,0.0001696278,0.000483381,0.0002878845,0.0001505229,0.0001596251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004076518,"about_ca_system_score_gemma":0.0001700985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033124,"about_ca_topic_score_gemma":0.04145029,"domain_scores_codex":[0.999893,0.00002017466,0.00001222771,0.00002172316,0.00001934598,0.0000335399],"domain_scores_gemma":[0.9992658,0.0001059313,0.0004137293,0.00002164613,0.0001400586,0.00005276588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000493814,0.00001377922,0.9809003,0.00008889017,0.00003212883,0.0002466481,0.0008283618,0.0003253297,0.0007901454,0.0003956248,0.0005179797,0.01581139],"study_design_scores_gemma":[5.757136e-7,0.00000847646,0.9980786,0.00002268403,0.000003363917,0.00008058709,0.0007004607,0.0001990998,0.00007389306,0.0000273754,0.00080297,0.000001907439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975822,0.0003700217,0.00005963917,0.0000728927,0.000002626031,0.000003331955,0.000560431,0.000002219266,0.001346682],"genre_scores_gemma":[0.998884,0.0003309018,0.000109972,0.000008916931,0.000002917843,0.00000372194,0.0001971694,0.000001276563,0.0004610828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02033124,"threshold_uncertainty_score":0.04042578,"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."}}