{"id":"W4206480594","doi":"10.2174/157016461901220119162248","title":"Preface","year":2022,"lang":"en","type":"article","venue":"Current Proteomics","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001459792,0.0007902567,0.0005428241,0.003155594,0.002477386,0.003365562,0.001139181,0.0009774338,0.4475695],"category_scores_gemma":[0.01168053,0.0002432683,0.000471739,0.002110882,0.0005595895,0.00210532,0.001957636,0.002631932,0.2963362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916109,"about_ca_system_score_gemma":0.002367361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005792154,"about_ca_topic_score_gemma":0.007337789,"domain_scores_codex":[0.9993083,0.0001128168,0.00004093369,0.0001149255,0.0003568516,0.00006606019],"domain_scores_gemma":[0.9945526,0.0008838231,0.0001797136,0.0005041364,0.00304898,0.0008307146],"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":[0.00001745204,0.00001266155,0.00007074219,0.00005448052,0.000001150132,0.00002469427,0.00004827232,0.00003387431,0.00006682399,0.00437809,0.9662437,0.02904808],"study_design_scores_gemma":[0.000002765606,0.000006457673,0.0002028086,0.0000788886,0.000001084294,0.00002241553,0.00006217664,0.00001739338,0.00005108092,0.00247212,0.99708,0.000002847386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001274949,0.009559132,0.006137233,0.03402122,0.2150007,0.000529581,0.01412258,0.001437068,0.7179175],"genre_scores_gemma":[0.004608885,0.003729171,0.002134098,0.006142295,0.02401486,0.0002437289,0.007590141,0.0007274083,0.9508095],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4475695,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05848837695871685,"score_gpt":0.2467944030199066,"score_spread":0.1883060260611897,"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."}}