{"id":"W4253279832","doi":"10.1386/fm.9.3.187_5","title":"Film","year":2018,"lang":"en","type":"article","venue":"Film Matters","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Miller; Crash; Kingdom; Art history; Art; Political science; Management; Law; Computer science; Operating system; Geology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000086513,0.00007279752,0.0001614722,0.00007718583,0.00006861746,0.00001959365,0.0000971876,0.00002819725,0.003123792],"category_scores_gemma":[0.00003617975,0.00007853626,0.00004798154,0.00008766416,0.00007322336,0.00005966361,0.00004227428,0.00004288676,0.01087662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001929039,"about_ca_system_score_gemma":0.000003243596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006781249,"about_ca_topic_score_gemma":0.0000229744,"domain_scores_codex":[0.9994335,0.000002262521,0.0001823105,0.000180138,0.00001507416,0.0001866843],"domain_scores_gemma":[0.9996842,0.00001739296,0.00006772947,0.0001751967,0.00001214612,0.00004340392],"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":[0.000004863427,0.0000164469,0.02164841,0.00001293382,0.00002717104,0.000002410308,0.0009831494,8.803042e-7,0.00002247879,0.01134637,0.9654395,0.0004954166],"study_design_scores_gemma":[0.000241962,0.00004381912,0.03122696,0.000008093647,0.000002440497,0.00000223562,0.0001352412,0.0002048513,0.0001322209,0.003401021,0.964465,0.0001361318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3739832,0.001205757,0.001765255,0.04355801,0.006020023,0.0002979937,0.0002672362,0.0001918838,0.5727106],"genre_scores_gemma":[0.9614888,0.00006083449,0.0006061371,0.01145201,0.0006026499,0.00002236113,0.00001132232,0.00002102496,0.0257348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5875056,"threshold_uncertainty_score":0.9977875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550064026342191,"score_gpt":0.2161140650826262,"score_spread":0.1906134248192043,"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."}}