{"id":"W2024867113","doi":"10.1177/097492761100300107","title":"Miffed! or “Gasping for [Polluted?] Air”","year":2012,"lang":"en","type":"article","venue":"BioScope South Asian Screen Studies","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Bureaucracy; Government (linguistics); State (computer science); Reflection (computer programming); Media studies; Documentary film; Political science; History; Sociology; Visual arts; Art; Law; Computer science; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006445656,0.0005885763,0.0001642565,0.00040562,0.008241428,0.001882592,0.0005312906,0.001508621,0.02286553],"category_scores_gemma":[0.001534982,0.0001468968,0.0001818861,0.0005587813,0.003356794,0.001925429,0.001576883,0.002710055,0.002467024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002787523,"about_ca_system_score_gemma":0.001192954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1875308,"about_ca_topic_score_gemma":0.4381271,"domain_scores_codex":[0.9996619,0.0001200954,0.000006218746,0.00003436226,0.00006744274,0.0001099204],"domain_scores_gemma":[0.9996676,0.0001133461,0.00003187861,0.00001541349,0.0000709877,0.0001006123],"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":[0.0001150917,0.00004209714,0.002454615,0.0002497478,0.0000123416,0.001238649,0.1706119,0.00007678045,0.001444796,0.03842023,0.744507,0.04082671],"study_design_scores_gemma":[0.000004200276,0.00001896926,0.003017452,0.00009025198,0.000003551399,0.0001805762,0.07678906,0.0000462952,0.0002801463,0.0004092566,0.9191461,0.00001412487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1324666,0.007944835,0.002479816,0.167735,0.01206871,0.0001974854,0.002255084,0.0004514625,0.674401],"genre_scores_gemma":[0.5093605,0.004570336,0.002429041,0.02981795,0.001144649,0.0001126948,0.0004754229,0.0004250623,0.4516644],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1875308,"threshold_uncertainty_score":0.3728784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1925983526024415,"score_gpt":0.429842792056208,"score_spread":0.2372444394537665,"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."}}