{"id":"W4234256872","doi":"10.1109/mcse.2019.2909623","title":"Masthead","year":2019,"lang":"en","type":"paratext","venue":"Computing in Science & Engineering","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002238434,0.000527581,0.0006428237,0.001897684,0.0001254294,0.0003363083,0.002139706,0.0002171162,0.0002340661],"category_scores_gemma":[0.0004924156,0.0005817661,0.00009991177,0.003701917,0.0002522664,0.0003228482,0.0007875048,0.00112306,0.07480612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190789,"about_ca_system_score_gemma":0.0006619372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000365613,"about_ca_topic_score_gemma":0.000001436822,"domain_scores_codex":[0.9957617,0.00002597587,0.0005705572,0.001151224,0.001013897,0.001476626],"domain_scores_gemma":[0.9983339,0.0002263589,0.0002104429,0.0009087587,0.0001368381,0.0001837098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001506951,0.00001446978,0.0001567632,0.00007588367,0.000003516057,0.000008233997,0.0003885172,0.970028,0.02163864,0.0003390527,0.007023229,0.0003221348],"study_design_scores_gemma":[0.0002653331,0.00003366999,0.003205214,0.002541911,0.000005642765,0.00003711023,0.00004177113,0.8322484,0.001782435,0.000002289861,0.1587125,0.001123769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5766808,0.004677001,0.06580051,0.00005523179,0.06141558,0.002022415,0.00009887647,0.001393642,0.2878559],"genre_scores_gemma":[0.9836354,0.000009773055,0.006347393,0.00002733196,0.0006533488,0.000006495282,0.00001632161,0.0002279643,0.009076035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4069545,"threshold_uncertainty_score":0.9996634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684400477527499,"score_gpt":0.2779582857620156,"score_spread":0.2611142809867406,"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."}}