{"id":"W4390993462","doi":"10.1109/biocas58349.2023.10388655","title":"BioCAS 2023 Frontmatter","year":2023,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Session (web analytics); Event (particle physics); Health care; Pride; Multidisciplinary approach; Computer science; Theme (computing); Healthcare system; World Wide Web; Political science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003107146,0.00003946227,0.00003403816,0.00005560129,0.000008668281,0.000007519758,0.0000388956,0.00003154822,0.00119185],"category_scores_gemma":[0.000003431955,0.00003325749,0.00001313236,0.0002168916,0.000005924418,0.00002608917,0.000006775565,0.00003831212,0.01135664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009718064,"about_ca_system_score_gemma":0.000001771148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007075996,"about_ca_topic_score_gemma":0.000001318585,"domain_scores_codex":[0.999747,9.708317e-7,0.00004837342,0.00004367629,0.00004726854,0.0001127372],"domain_scores_gemma":[0.9998791,0.000008837633,0.000001228473,0.00006633467,0.000003196217,0.00004130222],"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":[1.064239e-7,0.000001803611,0.00004805897,0.00004291613,0.000005963498,0.000001047966,0.0000402032,0.0007327597,0.001965361,0.00007323467,0.9914836,0.005604996],"study_design_scores_gemma":[0.0001331549,0.000010128,0.02984709,0.00002117625,0.00000475627,0.000003266702,0.00009025662,0.167967,0.003580365,0.000418824,0.7976798,0.0002442199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6135759,0.0003478558,0.04427891,0.006703925,0.01011478,0.0001781478,0.00001527134,0.01182391,0.3129613],"genre_scores_gemma":[0.9552963,0.0000320392,0.0006962869,0.0001694124,0.0003459543,0.00002186293,0.0000413546,0.00002589779,0.04337083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3417204,"threshold_uncertainty_score":0.9997212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008880755028368617,"score_gpt":0.2001075833887991,"score_spread":0.1912268283604305,"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."}}