{"id":"W4402557686","doi":"10.1109/phm61473.2024.00011","title":"Multimodal Learning for Supporting Evidence Base Medicine","year":2024,"lang":"en","type":"article","venue":"","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Base (topology); Human–computer interaction; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01666414,0.00141353,0.001927196,0.01251185,0.0008881002,0.006073937,0.002280573,0.002433531,0.01696596],"category_scores_gemma":[0.09792459,0.0005670724,0.001978219,0.005551015,0.001199796,0.005251854,0.004972958,0.00260614,0.003074709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284431,"about_ca_system_score_gemma":0.004564278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001932284,"about_ca_topic_score_gemma":0.003003608,"domain_scores_codex":[0.9895073,0.005892363,0.001344467,0.00100187,0.002059484,0.0001946417],"domain_scores_gemma":[0.9312634,0.05649952,0.002995336,0.003754951,0.004596303,0.0008906721],"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":[0.000629759,0.0002992946,0.004981241,0.005811272,0.0007355799,0.00050933,0.0004100651,0.04321115,0.001813579,0.04451974,0.02999377,0.8670852],"study_design_scores_gemma":[0.000250647,0.0004274283,0.002414082,0.005754087,0.0006669771,0.0005428197,0.0004197211,0.47517,0.006535307,0.4215696,0.08608652,0.0001629296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008136316,0.01440936,0.9377722,0.0142848,0.0005473717,0.001038957,0.007017037,0.005450262,0.01134374],"genre_scores_gemma":[0.2830709,0.00699179,0.6970655,0.002196141,0.0007636217,0.001202701,0.006986527,0.0002245019,0.001498303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01696596,"threshold_uncertainty_score":0.08812946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3916646294143961,"score_gpt":0.6322804996538206,"score_spread":0.2406158702394245,"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."}}