{"id":"W7024469885","doi":"","title":"Reports from the different Clean Clothes Campaigns and projects: February ? June 2006","year":2006,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Government (linguistics); Quarter (Canadian coin)","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":[0.001638725,0.0009216022,0.0003399891,0.006504559,0.0007577885,0.002344098,0.0004425575,0.0006615429,0.0201187],"category_scores_gemma":[0.00487015,0.0004535736,0.0004191056,0.008180637,0.0002235651,0.001165954,0.001085356,0.0008326906,0.00780525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128678,"about_ca_system_score_gemma":0.001596167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170839,"about_ca_topic_score_gemma":0.02679108,"domain_scores_codex":[0.9981216,0.000210501,0.0001723839,0.0001305777,0.001107463,0.0002574261],"domain_scores_gemma":[0.9945189,0.0006342073,0.001333999,0.0002392717,0.002832019,0.0004414897],"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":[0.0005976146,0.000108916,0.03194674,0.002038941,0.00008558551,0.0002968013,0.001396959,0.0002307026,0.001380227,0.0009625218,0.8115155,0.1494395],"study_design_scores_gemma":[0.00001420362,0.00006237417,0.1815175,0.0004330178,0.00003774863,0.000210446,0.001606253,0.0000585779,0.001737527,0.00009510997,0.8141941,0.00003312566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.08187671,0.02719782,0.003107282,0.006636255,0.005047972,0.0009708534,0.4647187,0.001730864,0.4087135],"genre_scores_gemma":[0.1470606,0.03611538,0.00855058,0.004017274,0.002033907,0.001154896,0.2859648,0.001530288,0.5135723],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0201187,"threshold_uncertainty_score":0.06730378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03741276607585106,"score_gpt":0.1722971718287782,"score_spread":0.1348844057529271,"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."}}