{"id":"W63851009","doi":"10.3233/978-1-61499-488-6-357","title":"Structured Data Capture from Multiple EMRs: Towards an Architecture for Clinical Research","year":2015,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Usability; Checklist; Data collection; Point of care; Quality (philosophy); Qualitative property; Primary care; Qualitative research; Computer science; Nursing; Medicine; Psychology; Family 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4877826,0.001628329,0.003670362,0.01606562,0.004156887,0.02224553,0.008619014,0.004251269,0.001785904],"category_scores_gemma":[0.3926018,0.004096733,0.003245558,0.01725121,0.0101441,0.02264087,0.01878529,0.006903404,0.001538198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01156611,"about_ca_system_score_gemma":0.03753398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438557,"about_ca_topic_score_gemma":0.01418896,"domain_scores_codex":[0.5604463,0.3400639,0.04680771,0.01975206,0.0303708,0.002559242],"domain_scores_gemma":[0.4083206,0.3310831,0.04459238,0.1234069,0.0810764,0.01152069],"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":[0.00115318,0.00114173,0.07095136,0.008697471,0.0009864744,0.0006552447,0.06437679,0.006680676,0.008372568,0.05604933,0.01188026,0.7690549],"study_design_scores_gemma":[0.001452459,0.00607694,0.1224496,0.03293801,0.002800736,0.002976047,0.08785643,0.1066261,0.02235899,0.3041311,0.3081806,0.002153152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01306671,0.002569861,0.9491641,0.0141038,0.0002598878,0.01312696,0.001090052,0.003303413,0.003315169],"genre_scores_gemma":[0.02501642,0.0008353276,0.9669054,0.0006296289,0.0000920576,0.00528691,0.0007768765,0.0001508568,0.0003065261],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4877826,"threshold_uncertainty_score":0.6316553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4760730318894526,"score_gpt":0.5193764312284495,"score_spread":0.04330339933899685,"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."}}