{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004018638,0.0002890589,0.0006574911,0.0002780519,0.0003305107,0.0000567102,0.0006079773,0.00008069725,0.0001840387],"category_scores_gemma":[0.0002791644,0.0002796712,0.000192035,0.001050235,0.0001394912,0.0002293609,0.0002420128,0.0003318149,0.0003087589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008376034,"about_ca_system_score_gemma":0.000020882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002632185,"about_ca_topic_score_gemma":0.0004326804,"domain_scores_codex":[0.9983031,0.00006164794,0.0004585592,0.0005491669,0.0001215622,0.0005060345],"domain_scores_gemma":[0.9988923,0.0002773396,0.0002591521,0.0003861765,0.00003871678,0.000146311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001797978,0.000317495,0.7520341,0.000373272,0.0005834423,0.0006788539,0.05792923,0.000366332,0.00003742805,0.1475867,0.03846262,0.001450766],"study_design_scores_gemma":[0.004972364,0.0004975314,0.797991,0.0002083909,0.0001503244,0.00002211396,0.07649072,0.006909722,0.0000227249,0.002109763,0.1094262,0.001199062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156265,0.007412695,0.006045671,0.02519586,0.0003891662,0.001180885,0.0001726661,0.0001818578,0.1437947],"genre_scores_gemma":[0.9960909,0.0003966017,0.0006250733,0.001710101,0.0001680719,0.00001017178,0.00002178027,0.000028678,0.0009485758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1804644,"threshold_uncertainty_score":0.9999655,"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."}}