{"id":"W2902933707","doi":"10.7202/1053859ar","title":"Unmasked Androids: Staring Faces in Science Fiction Cinema","year":2018,"lang":"en","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Arts and Performance Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staring; Android (operating system); Movie theater; Gaze; Uncanny; Narrative; Art; Motif (music); Uncanny valley; Visual arts; Aesthetics; Media studies; Literature; Sociology; Computer science; Psychology; Psychoanalysis; Communication; Artificial intelligence; Robot","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"],"consensus_categories":[],"category_scores_codex":[0.000550992,0.0002865894,0.0003666523,0.000871145,0.001111559,0.0003172383,0.0003756418,0.00005482195,0.0005287399],"category_scores_gemma":[0.00005201595,0.0002469554,0.00009811413,0.0004676337,0.002180222,0.001068433,0.0001571795,0.000204542,0.0000458675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006146855,"about_ca_system_score_gemma":0.00005730793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004879321,"about_ca_topic_score_gemma":0.009325985,"domain_scores_codex":[0.9981352,0.00003234268,0.0004700792,0.000513451,0.000275434,0.0005734953],"domain_scores_gemma":[0.9989628,0.00004672854,0.0001538663,0.0003679323,0.000367807,0.0001008971],"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":[0.00008961355,0.0001973786,0.08575136,0.0002354519,0.00007286843,0.00001506826,0.1025683,0.00001552516,0.001064112,0.8023603,0.003565819,0.004064169],"study_design_scores_gemma":[0.0005977545,0.00060919,0.04297464,0.0005270241,0.00003475155,0.00001327867,0.01557742,0.0007589224,0.002530243,0.001150759,0.9345013,0.00072469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7128227,0.0002870891,0.00001067942,0.0003464872,0.0006122115,0.0002505374,0.000008544433,0.0002062529,0.2854556],"genre_scores_gemma":[0.9968406,0.0005997134,0.0001557495,0.0002338429,0.001047953,0.00005008329,0.00000708556,0.00002949181,0.001035506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9309355,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819449317610485,"score_gpt":0.2613785064229709,"score_spread":0.2231840132468661,"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."}}