{"id":"W4417485170","doi":"10.33137/ijournal.v11i1.46630","title":"Tainted Goods","year":2025,"lang":"","type":"article","venue":"The iJournal Student Journal of the Faculty of Information","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowds; Complicity; Witness; Beauty; Foundation (evidence); Point (geometry)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003152149,0.0002526179,0.0005481431,0.0003760408,0.00186225,0.0003953273,0.001713892,0.00008127414,0.0007619315],"category_scores_gemma":[0.0002688855,0.0001247227,0.001092042,0.0002857316,0.0005642613,0.001673597,0.0003124459,0.0008754723,0.00002196554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000330278,"about_ca_system_score_gemma":0.0003052292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006873474,"about_ca_topic_score_gemma":0.00008147631,"domain_scores_codex":[0.9958475,0.0003737322,0.002292408,0.00005689562,0.00117257,0.0002569238],"domain_scores_gemma":[0.9940156,0.000158665,0.004139984,0.0003108207,0.001299538,0.00007540314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002608228,0.000968193,0.004520416,0.0005362065,0.01131451,0.000007832475,0.4390414,0.01121903,0.0002174401,0.1140228,0.343172,0.0723719],"study_design_scores_gemma":[0.001791069,0.0003885184,0.01137589,0.001179654,0.002226169,0.00007321365,0.08551582,0.0006076854,0.0003273146,0.002345364,0.8939478,0.0002214849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7410493,0.004669159,0.006942036,0.03789001,0.01290296,0.0010374,0.0001812719,0.00002106676,0.1953068],"genre_scores_gemma":[0.9889693,0.0005585738,0.00005123822,0.0008419689,0.0003855812,0.000001170195,0.000003534799,0.000005992412,0.009182645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5507758,"threshold_uncertainty_score":0.9994372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330814093850683,"score_gpt":0.2725104687373689,"score_spread":0.2592023277988621,"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."}}