{"id":"W4250851645","doi":"10.1515/dx-2018-0055","title":"2nd European Conference on Diagnostic Error in Medicine August 30-31, 2018, Bern, Switzerland","year":2018,"lang":"en","type":"review","venue":"Diagnosis","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pager; Focus group; Medicine; Qualitative research; Medical education; Documentation; Data collection; Qualitative property; Computer science; Telecommunications","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005156375,0.00115024,0.004287229,0.0008119911,0.0006033527,0.00002488821,0.001255784,0.001084811,0.006034741],"category_scores_gemma":[0.007781119,0.0008580672,0.0003197039,0.0009502977,0.0002684208,0.0001054585,0.0003256247,0.003603798,0.02027528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954717,"about_ca_system_score_gemma":0.002590052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004297104,"about_ca_topic_score_gemma":0.004991383,"domain_scores_codex":[0.9849411,0.006969529,0.00361843,0.001505207,0.000755324,0.002210465],"domain_scores_gemma":[0.9779691,0.01741748,0.001927833,0.001654918,0.0002828314,0.000747839],"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":[0.00001113971,0.0002095801,0.005068839,0.03984125,0.0001063005,0.0001762714,0.000964276,1.153507e-7,2.161121e-8,0.0005519401,0.6857581,0.2673122],"study_design_scores_gemma":[0.0008428996,0.0006440995,0.0009867586,0.1637565,0.0002905021,0.000007495106,0.0001386291,0.000002618064,5.527136e-8,0.00006990106,0.8326615,0.0005990213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001417423,0.9097623,0.0000078497,0.001481646,0.004402133,0.0062475,0.0002249134,0.0002137642,0.07751815],"genre_scores_gemma":[0.0003097116,0.9825502,0.0000180931,0.001384957,0.004395343,0.005182943,0.0003827672,0.0003210127,0.00545498],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2667132,"threshold_uncertainty_score":0.999387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2901360993387833,"score_gpt":0.5074953223135802,"score_spread":0.2173592229747969,"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."}}