{"id":"W4286377217","doi":"","title":"Physician Experience Design (PXD): More Usable Machine Learning Prediction for Clinical Decision Making.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research; Public Health Ontario; University of Toronto","funders":"","keywords":"Artificial intelligence; Computer science; Machine learning; USable; Sample (material); Delirium; Identification (biology); Process (computing); Medicine; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003029741,0.0001774617,0.0002602911,0.0001365331,0.001008955,0.0001555213,0.001304627,0.00006466525,0.00002024086],"category_scores_gemma":[0.001191225,0.0001815764,0.0001371717,0.0005819685,0.00005193246,0.0003864313,0.0007742006,0.0007331246,0.000005766495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926631,"about_ca_system_score_gemma":0.00007298806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000320009,"about_ca_topic_score_gemma":0.000002276252,"domain_scores_codex":[0.9966716,0.000662507,0.000547494,0.0007872601,0.0006920338,0.0006390671],"domain_scores_gemma":[0.9975721,0.00127479,0.000288316,0.0006110684,0.00009295197,0.0001607713],"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":[0.0001290052,0.00009943646,0.05859501,0.00001975234,0.00001148758,0.000008459206,0.001052832,0.05563502,0.000001948582,0.0007883901,0.002130637,0.881528],"study_design_scores_gemma":[0.000541306,0.0002561572,0.1544162,0.0000104234,0.000006662803,0.00001693011,0.0001071736,0.7902076,0.00001574819,0.001115455,0.05310553,0.0002008675],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03753861,0.0003734416,0.9560027,0.001421737,0.001973464,0.001818043,0.00001412408,0.0005814004,0.0002764938],"genre_scores_gemma":[0.922393,0.00001953125,0.06938307,0.001587428,0.0002889217,0.005895095,0.00001254116,0.00003153833,0.0003889104],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8866196,"threshold_uncertainty_score":0.7760168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09227980623753226,"score_gpt":0.3652475705669225,"score_spread":0.2729677643293903,"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."}}