{"id":"W2273968644","doi":"","title":"TORONTO: STEEL BEHIND THE SHEEN","year":2014,"lang":"en","type":"article","venue":"Sight & sound/Sight and sound","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Visual arts; Advertising; Art history; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007100451,0.0001842327,0.0002102661,0.00001947991,0.001636559,0.0004485491,0.0004204499,0.0001572409,0.0007278753],"category_scores_gemma":[0.0001906506,0.0001347434,0.00009650186,0.0001006466,0.0006840092,0.0004318496,0.0000567584,0.0001784137,0.00008732163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821523,"about_ca_system_score_gemma":0.00009987585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08234621,"about_ca_topic_score_gemma":0.5747216,"domain_scores_codex":[0.9982397,0.0002387954,0.0002082953,0.0003227884,0.0004336367,0.0005567715],"domain_scores_gemma":[0.9987577,0.000446383,0.000107765,0.0003464583,0.00005366366,0.0002879811],"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":[0.00003703005,0.00005367573,0.005597792,0.00002326356,0.00008172968,0.000009362053,0.1386331,0.000002651202,0.00007311856,0.7101415,0.138443,0.006903773],"study_design_scores_gemma":[0.0002536702,0.00003829865,0.01234863,0.000008450219,0.00002568931,0.000002828929,0.00161841,0.00001475657,0.00001072686,0.07676528,0.9086915,0.0002217793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5097474,0.004908212,0.000278128,0.02605082,0.00154411,0.0005683248,0.00007491701,0.000119151,0.4567089],"genre_scores_gemma":[0.9670161,0.0002466117,0.000032682,0.004448386,0.002237943,0.00001710446,0.000003765165,0.00001839096,0.02597902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7702485,"threshold_uncertainty_score":0.9996632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658146558790881,"score_gpt":0.2729735464595049,"score_spread":0.2563920808715962,"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."}}