{"id":"W4256662119","doi":"10.31219/osf.io/pc7ak","title":"Next-Gen AI for Disease Definition, Patient Stratification, and Placebo Effect","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Precision medicine; Computer science; Clinical trial; Disease; Artificial intelligence; Medicine; Data science; Medical physics; Pathology","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":[0.01029806,0.001192433,0.001678993,0.001955793,0.000420721,0.002168271,0.001115742,0.002169859,0.02380544],"category_scores_gemma":[0.02589639,0.0004823014,0.002599992,0.001265885,0.001239895,0.001632581,0.001072532,0.003392762,0.0054448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552633,"about_ca_system_score_gemma":0.001900072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115759,"about_ca_topic_score_gemma":0.001619028,"domain_scores_codex":[0.993586,0.004499878,0.0003575026,0.000494917,0.0009645426,0.00009731646],"domain_scores_gemma":[0.9862229,0.01151112,0.0007576332,0.0007355422,0.0005797514,0.0001931024],"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":[0.001245939,0.0001039945,0.001409888,0.0049751,0.001165161,0.0002195323,0.0001253793,0.003662021,0.001361381,0.1365642,0.101408,0.7477594],"study_design_scores_gemma":[0.0008338201,0.0007670618,0.002425284,0.004438753,0.001033749,0.00153275,0.00005852366,0.020981,0.002847321,0.4338257,0.5310783,0.000177755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002845715,0.4339119,0.4669038,0.04457268,0.01192847,0.0007428834,0.004061589,0.00376627,0.03126683],"genre_scores_gemma":[0.08046798,0.1884995,0.6485971,0.02675454,0.01720238,0.003822424,0.004114326,0.001525241,0.02901668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02380544,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2161273686941115,"score_gpt":0.417567590215652,"score_spread":0.2014402215215405,"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."}}