{"id":"W2922882614","doi":"10.1073/pnas.1906831117","title":"Expert-augmented machine learning","year":2020,"lang":"en","type":"preprint","venue":"Proceedings of the National Academy of Sciences","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovaderm (Canada)","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Machine learning; Generalizability theory; Artificial intelligence; Computer science; Quality (philosophy); Population; Expert system; Task (project management); Engineering; Medicine","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":[0.006298005,0.00148451,0.001563246,0.001813191,0.0005831465,0.002596533,0.002501016,0.00201815,0.005039096],"category_scores_gemma":[0.03188275,0.0007051743,0.001099413,0.001384862,0.001152712,0.002244554,0.003374619,0.002681519,0.001527388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009387321,"about_ca_system_score_gemma":0.001804946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933118,"about_ca_topic_score_gemma":0.003875755,"domain_scores_codex":[0.9919872,0.003962837,0.0003752454,0.001601424,0.001838598,0.0002346897],"domain_scores_gemma":[0.9807202,0.01189752,0.001094653,0.003802833,0.002218395,0.0002664201],"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":[0.0004141818,0.0004384138,0.007700071,0.0004970419,0.0002798623,0.0003038439,0.0005664437,0.2491516,0.004702276,0.02116256,0.01434159,0.700442],"study_design_scores_gemma":[0.00004203153,0.0001071423,0.001071163,0.00006105365,0.00003165079,0.00009974765,0.00004404338,0.9542183,0.004830368,0.02879864,0.01065351,0.00004226994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01584877,0.0005244753,0.9756842,0.0004734393,0.0001252335,0.0001687404,0.0005281147,0.003452237,0.003194668],"genre_scores_gemma":[0.3421001,0.0004410284,0.6497519,0.0007000021,0.0002153473,0.0004209534,0.001962888,0.0002786974,0.004129054],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006298005,"threshold_uncertainty_score":0.03330743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08346085056420079,"score_gpt":0.3566704363067819,"score_spread":0.2732095857425811,"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."}}