{"id":"W261809476","doi":"10.1525/aft.2011.39.1-2.4","title":"“Instants of Truth”","year":2011,"lang":"en","type":"article","venue":"Afterimage","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Afterimage; Download; Computer science; Art; Information retrieval; World Wide Web; Artificial intelligence; Image (mathematics)","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":[0.0007927559,0.0006216179,0.0002542051,0.0009755549,0.004057871,0.008029382,0.0006530462,0.001510918,0.1257899],"category_scores_gemma":[0.002945184,0.000321348,0.0003718618,0.0008309816,0.005044158,0.004842378,0.003664856,0.003198125,0.01878662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263714,"about_ca_system_score_gemma":0.001155072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005380335,"about_ca_topic_score_gemma":0.01392441,"domain_scores_codex":[0.9991413,0.000257768,0.0000210443,0.0001116168,0.0003479389,0.0001203066],"domain_scores_gemma":[0.9992554,0.0001669968,0.00005784012,0.000136674,0.0001943081,0.000188796],"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":[0.00006990031,0.00001872542,0.0003100295,0.00014905,0.000008293733,0.0002448952,0.007703724,0.00004880005,0.0006201062,0.07822181,0.8588315,0.05377314],"study_design_scores_gemma":[0.000003340295,0.00001239492,0.0005686975,0.0001256945,0.000004180297,0.0002226488,0.003890156,0.00002313813,0.0002080965,0.00388773,0.9910471,0.000006785435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007301923,0.007309113,0.0015895,0.03288103,0.01636173,0.00003697496,0.0003542839,0.0004239012,0.9337416],"genre_scores_gemma":[0.1506172,0.006707736,0.00171517,0.005558144,0.004507565,0.00004144009,0.0003465989,0.0006860482,0.8298202],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1257899,"threshold_uncertainty_score":0.420809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06741184105618306,"score_gpt":0.2080694545368276,"score_spread":0.1406576134806445,"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."}}