{"id":"W3104487048","doi":"10.18146/tmg.797","title":"Common Ground: Comparative Histories of Cinema Audiences","year":2020,"lang":"en","type":"article","venue":"TMG Journal for Media History","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Movie theater; Common ground; Art; Geography; History; Art history; Sociology; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003844635,0.00009718511,0.0003002202,0.00003891109,0.0004438888,0.00001632504,0.00026575,0.00006751203,0.0008213335],"category_scores_gemma":[0.0003573278,0.00008031681,0.000092767,0.0001136248,0.0005392993,0.0002135927,0.00002064745,0.0002080287,0.000004811968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159281,"about_ca_system_score_gemma":0.0005484519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004079363,"about_ca_topic_score_gemma":0.001416801,"domain_scores_codex":[0.9988621,0.00008023444,0.0003322252,0.0001107825,0.0003998354,0.000214815],"domain_scores_gemma":[0.9988665,0.0002173198,0.0003101573,0.00004549961,0.0002978116,0.0002627285],"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":[0.00005742256,0.00001726886,0.0003731213,0.00001057682,0.0000218272,0.000003097833,0.2900653,0.00000237689,0.00009865365,0.007545351,0.7003419,0.001463021],"study_design_scores_gemma":[0.0002324104,0.0001180453,0.0004432655,0.00001392447,0.00001996578,0.000001496504,0.04989782,0.000004873943,0.00005633131,0.0002527703,0.948854,0.0001050572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6857944,0.04649487,0.0004176722,0.08349929,0.04625756,0.001609073,0.00008062886,0.0002901883,0.1355563],"genre_scores_gemma":[0.9871852,0.0002528185,0.0006042654,0.0005032106,0.001712112,0.00001070695,0.000007490793,0.000008383345,0.009715852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3013908,"threshold_uncertainty_score":0.8993026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2139448233885136,"score_gpt":0.3407485709120905,"score_spread":0.1268037475235769,"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."}}