{"id":"W2690981266","doi":"10.1186/s12911-017-0487-4","title":"ACSC Indicator: testing reliability for hypertension","year":2017,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"University of Calgary","keywords":"Medicine; Ambulatory; Test (biology); Reliability (semiconductor); MEDLINE; Family medicine; Scale (ratio); Chart; Primary care; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.00380657,0.0001527167,0.0004305828,0.00009651143,0.00316593,0.0000724499,0.0004513444,0.0003838262,0.0002248897],"category_scores_gemma":[0.01912645,0.0001070907,0.0000708297,0.00005003234,0.0001312629,0.0003573166,0.0007058688,0.000534742,0.00008594587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090214,"about_ca_system_score_gemma":0.001464562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003404403,"about_ca_topic_score_gemma":0.00008325951,"domain_scores_codex":[0.9973442,0.00006588377,0.001232628,0.0001734726,0.0006833064,0.0005004883],"domain_scores_gemma":[0.985962,0.01195184,0.0007492185,0.0007172148,0.0002435431,0.0003762064],"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":[0.000153017,0.00002463181,0.1146841,0.001362791,0.00000593257,0.000002319287,0.0005219073,0.000003726139,0.000001226105,0.001128231,0.04251211,0.8396],"study_design_scores_gemma":[0.007169675,0.0003866091,0.2593867,0.004259082,0.00007797313,0.0000311779,0.003217066,0.4558674,0.000003226013,0.05017934,0.2187054,0.0007162862],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6555452,0.0002193688,0.3173258,0.0008445953,0.001828508,0.001203746,0.00002615028,0.0001320879,0.0228745],"genre_scores_gemma":[0.3543693,0.0002722661,0.6233976,0.02105055,0.0006271249,0.0001236526,0.00001222544,0.00002936636,0.0001178333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8388837,"threshold_uncertainty_score":0.9981318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1793668522432394,"score_gpt":0.4829150495218461,"score_spread":0.3035481972786066,"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."}}