{"id":"W1982109666","doi":"10.3390/soc3030316","title":"Camera Arriving at the Station: Cinematic Memory as Cultural Memory","year":2013,"lang":"en","type":"article","venue":"Societies","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"University of California, San Diego","keywords":"Movie theater; Cityscape; Metaphor; Subject (documents); Subjectivity; Cultural memory; Aesthetics; Dream; Mainstream; Visual arts; Psyche; Collective memory; History; Sociology; Art; Media studies; Computer science; Psychology; Anthropology; Psychoanalysis; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001199776,0.0003992479,0.0002112475,0.001385461,0.003764398,0.01155705,0.001069973,0.001639189,0.008297992],"category_scores_gemma":[0.003734872,0.0001963724,0.0001916346,0.001139184,0.01607424,0.0106863,0.003772633,0.002475863,0.0006874275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435593,"about_ca_system_score_gemma":0.001062114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007051578,"about_ca_topic_score_gemma":0.009382768,"domain_scores_codex":[0.999159,0.0004490809,0.00002605328,0.0001214237,0.0001111936,0.0001331593],"domain_scores_gemma":[0.9984889,0.0007891945,0.0001718504,0.0002043369,0.000160209,0.0001854089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006668223,0.00002229833,0.001127894,0.0002029265,0.0000120474,0.0004338183,0.3308584,0.0001242414,0.000819147,0.6242605,0.0101009,0.03197117],"study_design_scores_gemma":[0.00003427777,0.0001011473,0.003722319,0.0009370638,0.00004753487,0.001108717,0.226924,0.0004321959,0.001600298,0.08004467,0.6849868,0.00006102166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1506839,0.0246318,0.01056623,0.02231436,0.001928624,0.00005202975,0.0001731156,0.0001521423,0.7894978],"genre_scores_gemma":[0.9603394,0.006241361,0.001606371,0.001366916,0.0008990302,0.00002476745,0.00006343242,0.00009657184,0.02936202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01155705,"threshold_uncertainty_score":0.02775949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256348216425991,"score_gpt":0.2293523954266274,"score_spread":0.2037175737840283,"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."}}