{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001187307,0.0005708054,0.0003860987,0.0009693243,0.003938737,0.004007728,0.0007811724,0.002427556,0.142411],"category_scores_gemma":[0.005082069,0.000278097,0.0003729815,0.0004882605,0.0005872659,0.002596716,0.00256369,0.004217918,0.0357056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639619,"about_ca_system_score_gemma":0.002546707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282659,"about_ca_topic_score_gemma":0.04211362,"domain_scores_codex":[0.9990834,0.0001350763,0.00002534698,0.0001311592,0.0004183442,0.0002065863],"domain_scores_gemma":[0.9976503,0.0003107501,0.0001131883,0.0001164968,0.001131625,0.0006776087],"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":[0.00001600663,0.000007377419,0.00007150846,0.00004767022,0.000001750084,0.00004557334,0.00009733324,0.0000063249,0.00006840534,0.001300435,0.9899756,0.008361961],"study_design_scores_gemma":[0.000001150027,0.000005369091,0.0002534869,0.00004326829,8.481828e-7,0.00002710027,0.0001219726,0.000005022023,0.00003389276,0.0000545365,0.9994515,0.000001851759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003656575,0.05040388,0.0004794745,0.1496942,0.1960656,0.0001901805,0.002196673,0.0004687594,0.5968447],"genre_scores_gemma":[0.01338781,0.00951801,0.0002773552,0.01859393,0.01633108,0.00005657104,0.000760282,0.0003200249,0.940755],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.142411,"threshold_uncertainty_score":0.4764124,"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."}}