{"id":"W2984855636","doi":"10.1111/conl.12683","title":"Alternative pathways to sustainable seafood","year":2019,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Certification; Sustainability; Business; Adaptive management; Overfishing; Dilemma; Agency (philosophy); Environmental resource management; Fisheries management; Payment; Resource (disambiguation); Fishing; Environmental planning; Fishery; Economics; Computer science; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002977509,0.0001512423,0.0001623426,0.0001612744,0.0001589242,0.0003449578,0.0002204648,0.00004508225,0.0001321677],"category_scores_gemma":[0.0002953761,0.0001546856,0.00007389695,0.0005507005,0.00003771915,0.00125358,0.0001094479,0.0000937657,0.0005921078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763507,"about_ca_system_score_gemma":0.00003986081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002981494,"about_ca_topic_score_gemma":0.00002746298,"domain_scores_codex":[0.9988677,0.00001687105,0.0001894856,0.0002688191,0.0002397683,0.0004173857],"domain_scores_gemma":[0.99928,0.0000418373,0.0001035957,0.0002262419,0.0003232918,0.0000250118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001552123,0.0001860877,0.5359375,0.0007018604,0.00009347279,0.00006826357,0.003535434,0.001582665,0.004242374,0.356429,0.09627342,0.000794617],"study_design_scores_gemma":[0.002691612,0.00009710944,0.4094934,0.00008858748,0.000104481,0.000001690663,0.04157008,0.00284647,0.0003616686,0.04265876,0.4986945,0.001391587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556809,0.000006192257,0.0006849429,0.03102588,0.0003985643,0.000729565,0.000003066856,0.0001319442,0.01133896],"genre_scores_gemma":[0.9116668,3.7847e-7,0.00005548851,0.08731474,0.0004900416,0.00001971604,0.00002445511,0.00001726162,0.0004111067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4024211,"threshold_uncertainty_score":0.7610546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228921953264526,"score_gpt":0.2387455326003204,"score_spread":0.2164563130676751,"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."}}