{"id":"W4387585448","doi":"10.1111/jpcu.13292","title":"Changes, comings & goings","year":2023,"lang":"en","type":"article","venue":"The Journal of Popular Culture","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; Citation; Library science; History; Art history; Media studies; Sociology; Computer science","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":[0.0008054223,0.00008464608,0.0002727002,0.0001046434,0.0001187807,0.00001986553,0.0002244339,0.00004968665,0.00005787887],"category_scores_gemma":[0.0002328084,0.00005438397,0.00009938686,0.0002731584,0.00003314759,0.00006680682,0.00005288358,0.0002175813,0.0004572423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002747242,"about_ca_system_score_gemma":0.000004762894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001848335,"about_ca_topic_score_gemma":0.000111723,"domain_scores_codex":[0.9993938,0.00001292627,0.000307569,0.00006594737,0.0000505977,0.0001691779],"domain_scores_gemma":[0.999364,0.00001382368,0.0003900408,0.0001345771,0.00004689355,0.00005065507],"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":[0.00003555458,0.0000321153,0.01333084,0.00004167303,0.0001849726,0.0000229101,0.02754417,0.0000217201,0.001022544,0.01694277,0.9400827,0.0007380425],"study_design_scores_gemma":[0.0003017842,0.00005219028,0.003786016,0.00002797149,0.00002028771,0.00006004624,0.00116506,0.000007134613,0.000036151,0.007400593,0.9870604,0.00008240123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8922612,0.0335579,0.0003261217,0.06231807,0.002904617,0.0002381791,0.00007361431,0.00006633021,0.008253949],"genre_scores_gemma":[0.863263,0.01928342,0.0007587303,0.002820884,0.002506856,0.000006284647,0.00002268965,0.00005580536,0.1112823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1030284,"threshold_uncertainty_score":0.5877078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05632821877814303,"score_gpt":0.2514905752428484,"score_spread":0.1951623564647054,"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."}}