{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002325295,0.00008435007,0.0001848896,0.00008617887,0.0002235435,0.00001666105,0.0001769634,0.00001294225,0.000590492],"category_scores_gemma":[0.00005938512,0.0001032008,0.00006816201,0.000147438,0.00002450907,0.00005799794,0.000238452,0.0002057174,0.000288631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128822,"about_ca_system_score_gemma":0.00001756349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001024495,"about_ca_topic_score_gemma":0.000001593792,"domain_scores_codex":[0.9992682,0.000008035858,0.0002574986,0.0002399656,0.00003182451,0.000194529],"domain_scores_gemma":[0.9996019,0.0000118653,0.00013764,0.0001951401,0.000009458804,0.00004400355],"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":[0.00007213206,0.000741915,0.1491756,0.0001956386,0.0001052456,0.000006402103,0.004678044,0.0004898345,0.0002663867,0.7168386,0.1009124,0.02651781],"study_design_scores_gemma":[0.0003999321,0.0000521709,0.002861386,0.00000327407,0.000002772941,0.000002884643,0.0001150297,0.0003396725,0.0001142644,0.0189588,0.9769778,0.0001720064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848465,0.05197579,0.006807053,0.003949531,0.009262894,0.001743669,0.0006822651,0.00019974,0.04053252],"genre_scores_gemma":[0.992443,0.0007946268,0.001225674,0.0001824577,0.0003395022,0.0008800218,0.00004163376,0.00003144649,0.004061686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8760654,"threshold_uncertainty_score":0.6465474,"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."}}