{"id":"W2801314664","doi":"10.1111/faf.12289","title":"The role of corporate social responsibility in creating a Seussian world of seafood sustainability","year":2018,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Corporate social responsibility; Sustainability; Business; Overfishing; Certification; Greenwashing; Context (archaeology); Fishery; Marketing; Environmental resource management; Public relations; Political science; Economics; Management; Fishing; Ecology","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":[0.01298642,0.0004137399,0.0002420228,0.002630438,0.005747627,0.01606949,0.000724457,0.00245918,0.001571358],"category_scores_gemma":[0.009131279,0.0002304949,0.0002758774,0.001057529,0.04129223,0.008498186,0.009513414,0.003226937,0.0002036816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005515569,"about_ca_system_score_gemma":0.008108282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005485509,"about_ca_topic_score_gemma":0.007814347,"domain_scores_codex":[0.9911125,0.005987099,0.0001772208,0.0004676114,0.001398266,0.0008572509],"domain_scores_gemma":[0.9887045,0.005123286,0.001694646,0.0009903742,0.002188598,0.00129866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008435691,0.00001995417,0.002679942,0.00005466518,0.000009821708,0.0001714313,0.0133983,0.0003324614,0.0001967424,0.9625897,0.002120883,0.01841775],"study_design_scores_gemma":[0.00001171273,0.0001134095,0.007669293,0.0008962025,0.00001843096,0.000374416,0.06062399,0.002473117,0.0009275107,0.6355122,0.2913197,0.00005991015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2689554,0.01361833,0.0268195,0.1748327,0.0008827256,0.00009886883,0.00002356942,0.00009531708,0.5146736],"genre_scores_gemma":[0.9932957,0.00113462,0.001421965,0.001354411,0.00007926783,0.0000176743,0.000003627269,0.000009614959,0.002683146],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01606949,"threshold_uncertainty_score":0.06867957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849056609136369,"score_gpt":0.2463618402382767,"score_spread":0.227871274146913,"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."}}