{"id":"W3022522214","doi":"10.1371/journal.pone.0231073","title":"Small is beautiful, but large is certified: A comparison between fisheries the Marine Stewardship Council (MSC) features in its promotional materials and MSC-certified fisheries","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","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":"Stewardship (theology); Certification; Fishery; Business; Marine fisheries; Fisheries management; Accounting; Fish <Actinopterygii>; Fishing; Biology; Management; Political science; Economics","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":[0.001391614,0.0001870342,0.0001673239,0.003522762,0.0006740026,0.001382131,0.000474597,0.0003660238,0.003334412],"category_scores_gemma":[0.009094104,0.0001260968,0.0004038115,0.002135269,0.001563649,0.002468201,0.001854701,0.0004496211,0.0004955995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141512,"about_ca_system_score_gemma":0.000739034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01777219,"about_ca_topic_score_gemma":0.04250702,"domain_scores_codex":[0.9986491,0.0001357507,0.0001698398,0.0002563756,0.0005652971,0.0002236612],"domain_scores_gemma":[0.9938758,0.00106464,0.002401355,0.0002821872,0.001449161,0.00092686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002703793,0.00007177968,0.9655016,0.0001434222,0.0001007093,0.0004474352,0.003772048,0.0001385809,0.001159147,0.00125522,0.00225876,0.02488087],"study_design_scores_gemma":[0.000001721092,0.00003911777,0.992637,0.00004060361,0.00001352358,0.0002221035,0.004476837,0.00008910303,0.0001164516,0.0001106429,0.002245304,0.000007538871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910952,0.0005094021,0.0001613871,0.0002321479,0.00004234002,0.00001147925,0.0005174426,0.000007047537,0.007423632],"genre_scores_gemma":[0.9971842,0.0003069613,0.0002170713,0.0001037601,0.00003180233,0.000009354817,0.0008036261,0.00001413458,0.001328959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01777219,"threshold_uncertainty_score":0.03533751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1841157725287066,"score_gpt":0.2522045810319375,"score_spread":0.06808880850323099,"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."}}