{"id":"W4413639066","doi":"10.64628/aam.wtacyqgxy","title":"Fake models for fast fashion? What AI clones mean for our jobs — and our identities","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fast fashion; Computer science; Business; Psychology; Political science; Clothing; Law","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":[0.004733614,0.0006434504,0.001025092,0.001378934,0.004627122,0.01224176,0.001303844,0.005369865,0.01856152],"category_scores_gemma":[0.05234369,0.0006549428,0.0007457166,0.001399597,0.008329998,0.0233631,0.003607944,0.00594945,0.004656904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002376712,"about_ca_system_score_gemma":0.001586562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982272,"about_ca_topic_score_gemma":0.001136301,"domain_scores_codex":[0.9945162,0.002603714,0.0001913655,0.0007122175,0.00136592,0.0006106566],"domain_scores_gemma":[0.9574527,0.01841503,0.003057976,0.01594624,0.003526214,0.001601911],"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":[0.0001346827,0.00005759282,0.003044938,0.00004811353,0.00002239126,0.0001773686,0.001855171,0.002229225,0.0003738938,0.9541003,0.01272226,0.02523423],"study_design_scores_gemma":[0.00002190676,0.00002349055,0.0006473043,0.0000582759,0.00002035211,0.0003480047,0.001424597,0.01694822,0.0007473955,0.9610071,0.0187194,0.00003383927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2662528,0.004250502,0.2908964,0.1415202,0.002664455,0.0001502024,0.0008939015,0.001328611,0.2920428],"genre_scores_gemma":[0.9539471,0.0007624762,0.01627968,0.00245269,0.000652471,0.00006803781,0.0001443409,0.000368064,0.02532511],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01856152,"threshold_uncertainty_score":0.06209445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2362783557455492,"score_gpt":0.4751485264920932,"score_spread":0.238870170746544,"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."}}