{"id":"W6902882781","doi":"10.7916/d8-kwyr-0y66","title":"Ray Lewis","year":2016,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Mount","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003260625,0.0001739623,0.0005727786,0.0002816861,0.0004359222,0.00007511772,0.0007460157,0.000310762,0.002209865],"category_scores_gemma":[0.0002854099,0.0002796176,0.0002213113,0.0007570929,0.0003149583,0.0004103456,0.0003944666,0.0003999162,0.001201265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003834416,"about_ca_system_score_gemma":0.00006202502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007944379,"about_ca_topic_score_gemma":0.04430821,"domain_scores_codex":[0.9981636,0.0000403062,0.0004685313,0.0006469543,0.00007028269,0.000610365],"domain_scores_gemma":[0.9985657,0.0002504701,0.0003070366,0.0005613066,0.00004395384,0.000271582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002114997,0.00006665367,0.755772,0.00001731837,0.0001234651,0.00004353487,0.0002266572,6.802838e-7,0.0002114475,0.01317634,0.2198149,0.01052585],"study_design_scores_gemma":[0.001485318,0.00006157414,0.1858872,0.00005677299,0.00002640302,0.000005131184,0.0001789887,0.00001270988,0.000009463392,0.00699837,0.804877,0.000401055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7248387,0.001483728,0.001234201,0.004834042,0.001261039,0.00058072,0.0005298903,0.0003486919,0.264889],"genre_scores_gemma":[0.7418861,0.001121605,0.000115674,0.0001703921,0.0001504612,0.000005327651,0.000003944735,0.00002955985,0.256517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5850621,"threshold_uncertainty_score":0.9999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109976016898785,"score_gpt":0.1937118840491928,"score_spread":0.1626121238802049,"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."}}