{"id":"W7164936492","doi":"10.1080/17153379.2023.12558308","title":"Alluring Monsters: The Pontianak and Cinemas of Decolonization.","year":2023,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Movie theater","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007410948,0.0002095538,0.0001109934,0.0004266318,0.002256895,0.002905,0.0003308241,0.0008299584,0.0139215],"category_scores_gemma":[0.004454669,0.0001225747,0.00007287768,0.0005606474,0.003641848,0.003574408,0.001681479,0.002247917,0.000513959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547518,"about_ca_system_score_gemma":0.001012773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009465126,"about_ca_topic_score_gemma":0.02655274,"domain_scores_codex":[0.9995961,0.0002306633,0.000005438293,0.00003608955,0.00004545678,0.00008627785],"domain_scores_gemma":[0.9987894,0.0005818714,0.0001847438,0.00007609526,0.0001188013,0.0002490353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003486831,0.0001412404,0.01097021,0.0003853869,0.00003146239,0.001129254,0.1703365,0.0002935001,0.0005028675,0.4768778,0.2210906,0.1178925],"study_design_scores_gemma":[0.00001990675,0.00008923248,0.06080689,0.0008015787,0.00002907591,0.0007081377,0.1202327,0.0005017918,0.0005751672,0.03452456,0.7816842,0.00002680236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.29067,0.02374642,0.001245208,0.08154181,0.001592659,0.00004400922,0.0004309931,0.00006945147,0.6006594],"genre_scores_gemma":[0.9514817,0.004181866,0.0002200795,0.00164834,0.000478276,0.00001287556,0.00005975317,0.00003663981,0.04188038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0139215,"threshold_uncertainty_score":0.04657203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250373613064119,"score_gpt":0.2068027065484794,"score_spread":0.1842989704178382,"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."}}