{"id":"W4380628957","doi":"10.2174/157016462001230614161437","title":"Preface","year":2023,"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002127949,0.00009189706,0.0001958884,0.0001340411,0.00007570501,0.00002438141,0.0001287197,0.00003334629,0.00007708898],"category_scores_gemma":[0.0001518636,0.0001009419,0.00006611178,0.0002978119,0.00003185196,0.00007839577,0.00009387791,0.0001097425,0.005066367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003745542,"about_ca_system_score_gemma":0.00001150116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006253909,"about_ca_topic_score_gemma":0.000002799728,"domain_scores_codex":[0.9992326,0.000003349604,0.0002582848,0.0002383031,0.00002236473,0.0002450848],"domain_scores_gemma":[0.9996187,0.00001839533,0.00009810307,0.000195445,0.0000145789,0.00005479681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003176916,0.0002252318,0.2079054,0.0004489164,0.0001102217,0.000008246624,0.003665272,0.0001160703,0.0004406805,0.52445,0.2196525,0.04294562],"study_design_scores_gemma":[0.000510876,0.00003149707,0.02648435,0.00002777021,0.000003789879,0.000001053327,0.00007580252,0.001041705,0.0004827881,0.0431877,0.9278861,0.0002665949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946843,0.01210039,0.0037022,0.003432731,0.005790907,0.001090438,0.0002160596,0.0005095462,0.02631474],"genre_scores_gemma":[0.9745528,0.008756389,0.001663781,0.0001496946,0.001129566,0.0005937109,0.0001051533,0.00007272056,0.01297625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7082335,"threshold_uncertainty_score":0.9957083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08789949425744019,"score_gpt":0.27497152351827,"score_spread":0.1870720292608298,"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."}}