{"id":"W6987063173","doi":"","title":"Screening Screens: Cinematic Spectatorship in the Desktop Film Noah","year":2020,"lang":"en","type":"article","venue":"Riviste UNIMI (Università degli studi di Milano)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Presentation (obstetrics); Set (abstract data type); Digital media; Close reading; Short Film","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00118774,0.0003278408,0.0001960776,0.0005988314,0.003221689,0.003845777,0.0004447459,0.0008408397,0.009715497],"category_scores_gemma":[0.00717178,0.0002029701,0.0002212088,0.0004000724,0.004477703,0.002340588,0.003710218,0.001221806,0.0004422062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047715,"about_ca_system_score_gemma":0.0004422638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005852196,"about_ca_topic_score_gemma":0.01152695,"domain_scores_codex":[0.998985,0.0006924561,0.00001216988,0.00008840223,0.0001059427,0.0001160365],"domain_scores_gemma":[0.9953293,0.003432052,0.0003854273,0.0002678814,0.0002040838,0.000381374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009836474,0.0001699641,0.02589788,0.0004739431,0.00007322664,0.003001207,0.820555,0.0004226854,0.01299731,0.05113213,0.0202819,0.06401116],"study_design_scores_gemma":[0.0001232029,0.0006545699,0.1216045,0.0006034438,0.0001487769,0.0022431,0.5661538,0.001530765,0.006491244,0.01018824,0.2901424,0.0001160467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531289,0.000660182,0.001543545,0.004135356,0.0001933645,0.00003785764,0.0001359787,0.00006551552,0.1400993],"genre_scores_gemma":[0.9911426,0.000188304,0.0002880789,0.0002298409,0.00006031745,0.00001130237,0.00003121875,0.00002868265,0.008019661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009715497,"threshold_uncertainty_score":0.03250158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06776471927082917,"score_gpt":0.2137721971233129,"score_spread":0.1460074778524838,"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."}}