{"id":"W4409427961","doi":"10.1109/ic-ftai62324.2024.10950070","title":"Multimodal Machine Learning for Evidence Base Medicine","year":2024,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Artificial intelligence; Base (topology); Machine learning; Human–computer interaction; Mathematics","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":[0.001157585,0.0001537207,0.0001744023,0.0001720911,0.0001774796,0.0001314418,0.000663373,0.00005703687,0.0002750011],"category_scores_gemma":[0.001614378,0.0001125554,0.00006607464,0.0004301766,0.00004047325,0.000458665,0.0001927035,0.0004296661,0.0001178352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000573681,"about_ca_system_score_gemma":0.0000976357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009599727,"about_ca_topic_score_gemma":0.00005717252,"domain_scores_codex":[0.9983858,0.0001421117,0.0002677186,0.0005724782,0.0003042921,0.0003275539],"domain_scores_gemma":[0.9973734,0.001937465,0.00003851579,0.0004039166,0.0000991466,0.000147534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003123826,0.00003059157,0.01285408,0.001736007,0.00004320114,0.0001376472,0.004114624,0.007616649,0.001575409,0.2948551,0.01333573,0.6636696],"study_design_scores_gemma":[0.000136367,0.0002847885,0.0005953726,0.0003675465,0.000005458798,0.00002741388,0.00001447001,0.9555072,0.0001031237,0.001260707,0.04156674,0.0001308478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000927804,0.005090136,0.9433618,0.04675268,0.0009656401,0.0003113105,9.713948e-7,0.001239031,0.001350696],"genre_scores_gemma":[0.8674902,0.00008232787,0.1244457,0.001129797,0.0004107992,0.00006089604,0.000006417798,0.00002423915,0.006349569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9478905,"threshold_uncertainty_score":0.4589875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05722759151770746,"score_gpt":0.3657362657819271,"score_spread":0.3085086742642197,"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."}}