{"id":"W4380450622","doi":"10.1162/octo_a_00483","title":"The <i>Wavelength</i> Papers","year":2023,"lang":"en","type":"article","venue":"October","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ephemera; Scholarship; Conceptualization; Art history; Film director; Art; Visual arts; Library science; Media studies; History; Computer science; Sociology; Movie theater; Law; Political science; Artificial intelligence","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":[0.001341511,0.0004063924,0.0002381815,0.003079696,0.004279237,0.01057579,0.001082358,0.001080117,0.07895369],"category_scores_gemma":[0.006250626,0.0002575854,0.0003355097,0.005966655,0.002542964,0.003501779,0.002395654,0.002588287,0.01469707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007698241,"about_ca_system_score_gemma":0.005340408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01698022,"about_ca_topic_score_gemma":0.02465988,"domain_scores_codex":[0.9986131,0.0001938864,0.00006299969,0.0002286035,0.0006890399,0.0002124239],"domain_scores_gemma":[0.9952871,0.001141994,0.0003023298,0.0005340208,0.001597721,0.001136835],"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":[0.00001559025,0.00001418513,0.0003037664,0.0001537181,0.000004465933,0.0000644532,0.00141175,0.00003179581,0.0003301787,0.03211544,0.9305006,0.03505412],"study_design_scores_gemma":[0.000001111902,0.000003345768,0.000498437,0.0002001454,0.000001099499,0.00002782184,0.0006296443,0.0000066668,0.00007292532,0.00129926,0.9972569,0.000002684263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007110552,0.03680138,0.001104545,0.07712665,0.06872114,0.00008689614,0.00210612,0.00016768,0.806775],"genre_scores_gemma":[0.0506544,0.0346718,0.001216423,0.01345663,0.02801704,0.0001658482,0.001552791,0.0006057,0.8696594],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07895369,"threshold_uncertainty_score":0.2641264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746855397823165,"score_gpt":0.2165433847954536,"score_spread":0.189074830817222,"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."}}