{"id":"W4388962525","doi":"10.1016/j.mcpdig.2023.10.005","title":"Complexities and Questions Toward Artificial Intelligence for Diagnostic Support in Virtual Primary Care","year":2023,"lang":"en","type":"editorial","venue":"Mayo Clinic Proceedings Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; Western University","funders":"","keywords":"Primary care; Sociotechnical system; Health care; Artificial intelligence; Medical diagnosis; Psychology; Digital health; Medical education; Medicine; Computer science; Family medicine; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00109441,0.0004661216,0.00116887,0.0005023645,0.0002546384,0.000347136,0.0002270644,0.0008156351,0.00002689892],"category_scores_gemma":[0.01550153,0.0004883788,0.0001804065,0.0004770872,0.0003547423,0.0004545991,0.0001370284,0.001231495,0.0001987676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149145,"about_ca_system_score_gemma":0.004831808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006691587,"about_ca_topic_score_gemma":0.0003296673,"domain_scores_codex":[0.9952636,0.00001880287,0.002125202,0.0009775789,0.0006817774,0.0009329786],"domain_scores_gemma":[0.9903493,0.007121076,0.0006034405,0.0002143553,0.001144246,0.0005676058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005415982,0.000302584,0.001242199,0.01105171,0.00003067067,0.000009944072,0.01051833,0.00000104284,3.11578e-7,0.001421442,0.6575152,0.3173649],"study_design_scores_gemma":[0.0003646557,0.01721381,0.001565385,0.01147945,0.0002076611,0.000032113,0.1076584,0.0002020669,0.00004565966,0.07125665,0.7882853,0.001688773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01313096,0.001452092,0.0007579861,0.01063882,0.9629642,0.005851832,0.002698802,0.0006454354,0.001859868],"genre_scores_gemma":[0.2698058,0.006565961,0.0007051755,0.001435561,0.7039261,0.001757307,0.01302583,0.0003715112,0.002406773],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3156762,"threshold_uncertainty_score":0.9997568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2045174468631972,"score_gpt":0.4624330819660231,"score_spread":0.2579156351028258,"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."}}