{"id":"W3112497804","doi":"10.1111/faf.12529","title":"Fisher behaviour in coastal and marine fisheries","year":2020,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Corporate governance; Typology; Context (archaeology); Fishery; Empirical research; Fisheries management; Environmental resource management; Business; Economics; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00383114,0.0002702268,0.0004627952,0.004390058,0.0004161339,0.00130882,0.0003689199,0.0005134025,0.003012581],"category_scores_gemma":[0.01904973,0.0001316308,0.0006490775,0.003790386,0.0008952594,0.001445571,0.001040193,0.0003630646,0.0002087085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575739,"about_ca_system_score_gemma":0.002538283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02681034,"about_ca_topic_score_gemma":0.05336197,"domain_scores_codex":[0.997378,0.001134825,0.0004338299,0.0003178472,0.0006231014,0.0001123673],"domain_scores_gemma":[0.9863144,0.006950841,0.004752391,0.0002274715,0.00147775,0.00027722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002606531,0.0001129284,0.6011645,0.04167204,0.002460731,0.0004617257,0.01484233,0.0006617105,0.000960784,0.003688395,0.007756976,0.3259573],"study_design_scores_gemma":[0.00001960981,0.0001874467,0.8954636,0.03687583,0.001339134,0.0005248813,0.0164084,0.0002554746,0.0004246212,0.00216484,0.04627553,0.00006072626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6126912,0.3511614,0.001503548,0.005090478,0.0004515855,0.0001773286,0.003044593,0.00002808472,0.02585183],"genre_scores_gemma":[0.8987349,0.09653621,0.001304962,0.0009677082,0.0001349767,0.0001155774,0.0006553713,0.000008979905,0.00154144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02681034,"threshold_uncertainty_score":0.05330861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155496187777027,"score_gpt":0.1783650241896755,"score_spread":0.1668100623119053,"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."}}