{"id":"W7043099667","doi":"","title":"“Saving the World”, One Fair Trade Cup of Coffee at a Time?","year":2022,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fair trade; Commodity; Poverty; Inequality; Work (physics); Production (economics); Commodity chain; Free trade","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00239716,0.0005450243,0.0003281235,0.0009275908,0.006945012,0.00911567,0.0009634914,0.002415498,0.01498409],"category_scores_gemma":[0.005180155,0.0001713781,0.0003911261,0.0013794,0.01061854,0.01547583,0.00340196,0.003817528,0.002873072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004884168,"about_ca_system_score_gemma":0.004912619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03289796,"about_ca_topic_score_gemma":0.06677358,"domain_scores_codex":[0.9984658,0.0007114331,0.0000250467,0.0001551728,0.0003039144,0.0003387466],"domain_scores_gemma":[0.9987277,0.0002165329,0.0001596209,0.0002025182,0.0003395827,0.0003540466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009032093,0.00007071532,0.002588442,0.0003754059,0.00003073375,0.0002280255,0.02504858,0.0002189056,0.0007921529,0.3960998,0.4237305,0.1507263],"study_design_scores_gemma":[0.00000529999,0.00002358387,0.002195528,0.0002640612,0.00001160922,0.00008400851,0.01992192,0.00009368762,0.0004256281,0.03584269,0.9411049,0.00002695444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02354352,0.03082639,0.004340804,0.719777,0.009492761,0.00004889773,0.0002745535,0.0002522601,0.2114437],"genre_scores_gemma":[0.6354664,0.02755454,0.006905181,0.1249892,0.004393648,0.00008547023,0.0003255442,0.0003778291,0.1999022],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03289796,"threshold_uncertainty_score":0.06541294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036647265955335,"score_gpt":0.1505116371004719,"score_spread":0.1401451644409186,"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."}}