{"id":"W4235254904","doi":"10.1093/oxfordhb/9780190229108.013.5","title":"Movie Envy","year":2019,"lang":"en","type":"reference-entry","venue":"","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Movie theater; Exhibition; Value (mathematics); Internationalization; State (computer science); Globalization; History; Media studies; Art history; Sociology; Art; Political science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003258503,0.0007215762,0.0002407496,0.001740815,0.005057476,0.005379003,0.0007805337,0.001073576,0.4815839],"category_scores_gemma":[0.001746567,0.0001905757,0.0002894933,0.001948418,0.0005488527,0.001885986,0.001562445,0.001202818,0.1152498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00560876,"about_ca_system_score_gemma":0.004965154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4898418,"about_ca_topic_score_gemma":0.7622696,"domain_scores_codex":[0.9995192,0.00003515089,0.00001162096,0.00007024598,0.0002482429,0.0001154964],"domain_scores_gemma":[0.999041,0.00004927476,0.00002294393,0.00006529545,0.0004965102,0.0003248728],"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":[0.00002055154,0.00000605066,0.0002593405,0.00005630981,0.000002427855,0.00006011522,0.0003115897,0.00001784312,0.0001449137,0.01049924,0.9628933,0.02572828],"study_design_scores_gemma":[0.000001263631,0.000001572141,0.0005561811,0.00002151869,9.548966e-7,0.00002406348,0.0001482698,0.00001236397,0.0000283868,0.0001013534,0.9991012,0.000002911188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001219017,0.001270556,0.0002497137,0.003366083,0.001813078,0.00005305152,0.006254683,0.0003654054,0.9854085],"genre_scores_gemma":[0.0126483,0.001290249,0.0004553686,0.001383064,0.0004066882,0.00002356578,0.004234963,0.0002237473,0.9793339],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5184161,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05125480922762337,"score_gpt":0.2320103909706695,"score_spread":0.1807555817430461,"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."}}