{"id":"W1573244767","doi":"","title":"Screen Traffic: Movies, Multiplexes, and Global Culture","year":2005,"lang":"en","type":"article","venue":"Journal of Film and Video","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; Sociology; Media studies; Popular culture; Hegemony; Visual arts; Law; Politics; Political science; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0002019925,0.00008996981,0.0003091329,0.00005502853,0.00006629945,0.00003623432,0.00005988723,0.00005600895,0.00004624398],"category_scores_gemma":[0.0001111346,0.00007464575,0.00006314385,0.00006709328,0.00004861898,0.0001881007,0.00002714393,0.0001033204,0.00001163358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002584744,"about_ca_system_score_gemma":0.000009683307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002530698,"about_ca_topic_score_gemma":0.0001069756,"domain_scores_codex":[0.9993511,0.000004679822,0.0003764898,0.0001071449,0.00003025793,0.0001303164],"domain_scores_gemma":[0.9995424,0.00002265044,0.0002364635,0.00005614543,0.00003342971,0.0001089239],"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":[0.0002721532,0.0003230023,0.300115,0.0001436486,0.0005423411,0.00006550495,0.007228001,0.0002737688,0.0001092759,0.03282829,0.4112653,0.2468338],"study_design_scores_gemma":[0.001772378,0.0002058425,0.108778,0.00004415906,0.00002217488,0.0001751115,0.000516438,0.0005658731,0.00001808529,0.001234513,0.8865001,0.0001673394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801723,0.1053399,0.000174446,0.005239607,0.0003290713,0.00008626051,0.0001376184,0.000009943663,0.008510877],"genre_scores_gemma":[0.9845302,0.01078826,0.002439967,0.0004714358,0.0005701379,8.677608e-7,0.000001474432,0.000005537896,0.001192137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4752347,"threshold_uncertainty_score":0.3043965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078901526014833,"score_gpt":0.234910513553904,"score_spread":0.2141214982937557,"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."}}