{"id":"W4224439092","doi":"10.1109/msmc.2022.3160368","title":"Masthead","year":2022,"lang":"en","type":"paratext","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007185343,0.001108185,0.001506271,0.0006230318,0.0003247641,0.0004227444,0.0007982812,0.0005582611,0.01592995],"category_scores_gemma":[0.00002028594,0.001136637,0.0002340713,0.0005459882,0.0002706352,0.00008197803,0.000259985,0.001335025,0.2771448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004353185,"about_ca_system_score_gemma":0.0002610825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005386425,"about_ca_topic_score_gemma":0.0001047857,"domain_scores_codex":[0.994696,0.0005907206,0.001113359,0.001328854,0.001248913,0.00102211],"domain_scores_gemma":[0.9970055,0.0001404539,0.0008529594,0.001382006,0.0001794276,0.000439691],"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":[0.00005972486,0.0001180019,0.00001403499,0.001035002,0.0002324802,0.0001283747,0.0002708377,0.001105855,0.001107591,0.0006731909,0.9949799,0.000274998],"study_design_scores_gemma":[0.0007897534,0.0002866148,0.00008834337,0.0004355054,0.0001951439,0.000424118,0.0001064136,0.0005314132,0.00002583239,0.00001956733,0.9958984,0.001198848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003347682,0.02706737,0.00005104114,0.00007516279,0.01584796,0.001720293,0.003875294,0.0002658282,0.9477494],"genre_scores_gemma":[0.04278442,0.001832466,0.0000337674,0.0001217419,0.002190349,0.0003071857,0.001037287,0.0007228993,0.9509699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2612148,"threshold_uncertainty_score":0.9991084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948648272466589,"score_gpt":0.2537901126655709,"score_spread":0.234303629940905,"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."}}