{"id":"W4304191768","doi":"10.32873/uno.dc.jrf.26.02.14","title":"Nightmare Alley","year":2022,"lang":"en","type":"article","venue":"Journal of Religion & Film","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nightmare; Alley; Art; Religious studies; Philosophy; History; Psychology; Archaeology","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":[0.000393543,0.00006532213,0.000275515,0.0001981271,0.0001289303,0.00001444761,0.0001651629,0.00002011593,0.0007802757],"category_scores_gemma":[0.00007813332,0.00006428677,0.0001649156,0.0001358848,0.00001433956,0.00007247074,0.00007745952,0.000218984,0.00009218764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008022242,"about_ca_system_score_gemma":0.00002125333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000347228,"about_ca_topic_score_gemma":0.000005667377,"domain_scores_codex":[0.9992254,0.00001125943,0.0004833149,0.00009107955,0.00006256507,0.0001263292],"domain_scores_gemma":[0.9992643,0.00003222225,0.0005003428,0.0001057655,0.00003936022,0.00005801981],"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":[0.00004778271,0.00007275969,0.01387248,0.000007540274,0.00007162953,0.00005928106,0.0008522662,0.0002598241,0.00002568292,0.02341995,0.9608021,0.0005087338],"study_design_scores_gemma":[0.0005011554,0.0002282061,0.002519142,0.0000052704,0.000005862721,0.0001067132,0.0002696056,0.00004815849,0.00001853698,0.01247927,0.9837379,0.0000801701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913782,0.05860212,0.0006043337,0.02156367,0.006674998,0.0001987765,0.00011529,0.00003064897,0.120832],"genre_scores_gemma":[0.9846187,0.003922465,0.0003544958,0.00102101,0.0003747434,0.000006399465,0.000003910881,0.00001554535,0.009682777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932405,"threshold_uncertainty_score":0.8543472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007936167896408,"score_gpt":0.2131446865251732,"score_spread":0.1930653248462091,"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."}}