{"id":"W2150709601","doi":"10.1111/faf.12013","title":"Primary productivity demands of global fishing fleets","year":2013,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Overfishing; Fishing; Marine ecosystem; Fishery; Productivity; Context (archaeology); Business; Sustainability; Natural resource economics; Ecosystem; Environmental science; Geography; Ecology; Economics","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":[0.0001995616,0.0001851703,0.00009436034,0.0005750415,0.0001437445,0.0004222246,0.0001178692,0.0001516722,0.002129091],"category_scores_gemma":[0.0007945869,0.00007573578,0.000131223,0.0005257765,0.0001997486,0.0004349103,0.0003874637,0.0001786663,0.000269658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004008644,"about_ca_system_score_gemma":0.00009449829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007114834,"about_ca_topic_score_gemma":0.0121175,"domain_scores_codex":[0.9999464,0.000007901324,0.000004483973,0.00001625386,0.000009606786,0.00001526149],"domain_scores_gemma":[0.9995955,0.00008373289,0.000176861,0.00002177707,0.00006223378,0.00005996288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001752491,0.00002044331,0.9787023,0.00004135321,0.00006223821,0.0002759957,0.0005179023,0.005950684,0.004525587,0.0004698395,0.0005844663,0.008673889],"study_design_scores_gemma":[0.000001793822,0.00006385709,0.9965975,0.000007495244,0.000007322252,0.0001295145,0.000582791,0.001464532,0.0002679985,0.0001892651,0.0006813361,0.000006575817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980399,0.00003713151,0.00008204445,0.00002204939,0.000001255827,0.000001361789,0.0004331421,0.000001749729,0.001381331],"genre_scores_gemma":[0.9987447,0.00004816669,0.00004874413,0.000007809071,0.000001943544,0.000002347875,0.0005869687,0.000001907627,0.0005574875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007114834,"threshold_uncertainty_score":0.0141468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009480988202227356,"score_gpt":0.2063888230086753,"score_spread":0.196907834806448,"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."}}