{"id":"W4206717700","doi":"10.2196/29943","title":"A Novel Diagnostic Decision Support System for Medical Professionals: Prospective Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Observational study; Context (archaeology); Medical emergency; CLARITY; Health care; Traceability; Transparency (behavior); Decision support system; Emergency department; Complaint; Clinical decision support system; Usability; Nursing; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01236206,0.0001978933,0.000608966,0.0002999547,0.0009962962,0.00004015446,0.0004073071,0.0001249808,0.001001801],"category_scores_gemma":[0.1529798,0.0001445065,0.0002096033,0.000893358,0.000232136,0.0001203309,0.000909571,0.001513665,0.0001157237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173333,"about_ca_system_score_gemma":0.00168925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005179089,"about_ca_topic_score_gemma":0.00001688422,"domain_scores_codex":[0.9929059,0.0006484343,0.0008388019,0.000631357,0.004235381,0.0007401931],"domain_scores_gemma":[0.9031875,0.09390786,0.000165699,0.0007008761,0.001279087,0.0007590432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01980175,0.1140227,0.5947374,0.001448019,0.0007194464,0.001047415,0.04662616,0.00002374575,0.00009660317,0.006412893,0.1563477,0.05871619],"study_design_scores_gemma":[0.0240149,0.02450158,0.8755866,0.002793825,0.00008160321,0.0003740729,0.06701045,0.002583113,0.0001287021,0.001089811,0.00148654,0.0003488349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830309,0.0000681223,0.001779493,0.001568805,0.0005962072,0.01092844,0.0002505721,0.0001268999,0.001650616],"genre_scores_gemma":[0.987999,0.000004257258,0.0003223455,0.0001449541,0.0001900821,0.0107053,0.0001041676,0.00003325564,0.0004966718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2808492,"threshold_uncertainty_score":0.9999114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099541101639752,"score_gpt":0.5223993728625324,"score_spread":0.4124452626985572,"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."}}