{"id":"W4235543538","doi":"10.15353/kinema.vi.989","title":"Moscow 2002","year":2002,"lang":"en","type":"article","venue":"Kinema A Journal for Film and Audiovisual Media","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stylized fact; Insider; Hollywood; Economic history; History; Art history; Political science; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003928961,0.0008035306,0.0004709671,0.001011935,0.001151361,0.003983068,0.0007399078,0.001334365,0.4388684],"category_scores_gemma":[0.0009426025,0.0002945382,0.0003612751,0.0008475395,0.0004417217,0.001692495,0.001690546,0.001460276,0.3282667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497872,"about_ca_system_score_gemma":0.001233067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218478,"about_ca_topic_score_gemma":0.00449772,"domain_scores_codex":[0.9996578,0.00003497428,0.00002824438,0.0001066161,0.000122017,0.00005044555],"domain_scores_gemma":[0.9996978,0.00002678734,0.00002047286,0.0000525882,0.0001249077,0.00007746813],"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":[0.0001150577,0.00005464571,0.0008343955,0.0002854664,0.00001467225,0.0002620957,0.0002234668,0.000252591,0.0009989368,0.03559017,0.7863883,0.1749802],"study_design_scores_gemma":[0.00000301834,0.000007306533,0.0006208122,0.000057091,0.000001660012,0.00007521825,0.00004617127,0.00003690173,0.00009794623,0.0008843339,0.9981674,0.000002193321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002772696,0.01618093,0.001567903,0.008827061,0.01019774,0.00008130803,0.004194703,0.0006604448,0.9555172],"genre_scores_gemma":[0.01017219,0.00548725,0.0005436869,0.000857239,0.000708006,0.00005148975,0.002282988,0.0001937978,0.9797035],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4388684,"threshold_uncertainty_score":0.8003862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05791737532786938,"score_gpt":0.2556782005042686,"score_spread":0.1977608251763992,"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."}}