{"id":"W4252021339","doi":"10.5749/movingimage.17.2.0144","title":"","year":2017,"lang":"","type":"article","venue":"The Moving Image The Journal of the Association of Moving Image Archivists","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Art history; Exhibition; Visual arts; White (mutation); Humanities","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03130012,0.0009431659,0.00264723,0.0004802659,0.008068456,0.001718245,0.01085681,0.0002162147,0.00003339231],"category_scores_gemma":[0.05794039,0.0005771013,0.002377755,0.0004907643,0.002352353,0.002551398,0.004568729,0.003041973,0.00004295139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235896,"about_ca_system_score_gemma":0.000446192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139824,"about_ca_topic_score_gemma":0.0004906158,"domain_scores_codex":[0.9894412,0.001881887,0.005256263,0.0006042657,0.001166517,0.001649849],"domain_scores_gemma":[0.9479535,0.007577089,0.03856736,0.004244623,0.001380118,0.0002772843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00224433,0.001735299,0.7276129,0.001081641,0.009528629,0.00008092958,0.147745,0.002180066,0.06834172,0.00324476,0.02328742,0.01291736],"study_design_scores_gemma":[0.004124224,0.0003750729,0.9586214,0.001151501,0.001198121,0.0001356213,0.003054442,0.002923148,0.005273102,0.02089337,0.001556281,0.0006936883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8499746,0.003645256,0.003814232,0.1327955,0.005338987,0.0009900244,0.0002388944,0.00001830298,0.003184281],"genre_scores_gemma":[0.9829812,0.007125904,0.001687897,0.0008600066,0.001910904,0.0000116463,0.000001435639,0.0001277448,0.005293228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2310086,"threshold_uncertainty_score":0.9996681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712176256755465,"score_gpt":0.2436319712873181,"score_spread":0.2265102087197635,"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."}}