{"id":"W2282988331","doi":"10.33137/q.i..v29i2.8455","title":"From Nestoroff to Garbo: Pirandellian Humour in Its Cinematic Vernacular. 29","year":2008,"lang":"en","type":"article","venue":"Quaderni d italianistica","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hollywood; Vernacular; Art; Identity (music); Literature; Movie theater; Context (archaeology); Modernism (music); Art history; History; Aesthetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001728651,0.0002520447,0.0006712776,0.0002015908,0.0001355853,0.00003269173,0.0002717296,0.0001052245,0.003283012],"category_scores_gemma":[0.0005421205,0.0002850802,0.0001170273,0.0002749098,0.00005862045,0.0001047551,0.00007387994,0.0001781048,0.01058755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284781,"about_ca_system_score_gemma":0.00002778074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064246,"about_ca_topic_score_gemma":0.0003271255,"domain_scores_codex":[0.9981754,0.00001683284,0.0007200253,0.0005416957,0.00008932866,0.0004566894],"domain_scores_gemma":[0.999098,0.0001123069,0.0001566031,0.0003827144,0.00003158594,0.0002187593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003881279,0.002216439,0.5031224,0.0007726634,0.0007593781,0.00302324,0.05918533,0.0004113209,0.001264963,0.1821783,0.2448602,0.001817591],"study_design_scores_gemma":[0.003504118,0.0004935392,0.4477208,0.0003225796,0.00006182295,0.00005776131,0.002328158,0.002575687,0.0004736797,0.02364559,0.5167585,0.002057761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8701892,0.003843494,0.001817441,0.003576085,0.001269802,0.0006349403,0.0003479954,0.000104425,0.1182166],"genre_scores_gemma":[0.9907117,0.0001923632,0.0008772979,0.0006382696,0.0003951547,0.00006051648,0.00002648114,0.00004210222,0.007056075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2718982,"threshold_uncertainty_score":0.9999601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0584692888439356,"score_gpt":0.248475815483523,"score_spread":0.1900065266395874,"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."}}