{"id":"W2753770061","doi":"10.1002/lrh2.10037","title":"The TRANSFoRm project: Experience and lessons learned regarding functional and interoperability requirements to support primary care","year":2017,"lang":"en","type":"article","venue":"Learning Health Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Interoperability; Context (archaeology); Relevance (law); Health informatics; Mediation; Computer science; Knowledge management; Health care; Decision support system; Informatics; Clinical decision support system; Data science; Data mining; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005748667,0.0002870398,0.0006549289,0.0001014751,0.01230894,0.0002207438,0.0003637349,0.0002200035,0.00001212456],"category_scores_gemma":[0.0007427288,0.0002110086,0.0000476665,0.0001058888,0.0001863883,0.0003407969,0.0002063741,0.001480533,0.00004048893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334755,"about_ca_system_score_gemma":0.002275338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320303,"about_ca_topic_score_gemma":0.003402789,"domain_scores_codex":[0.9940476,0.001928468,0.001272197,0.0007918376,0.0005440331,0.001415868],"domain_scores_gemma":[0.9969945,0.0005500065,0.0008243591,0.0008229472,0.0002896727,0.0005184982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005051322,0.00002561363,0.5882093,0.01356908,0.00005473888,0.000005732604,0.1198667,0.00002557051,0.0001068955,0.001268918,0.003134547,0.2732278],"study_design_scores_gemma":[0.001971471,0.001456476,0.2366243,0.003397763,0.00001303685,0.0000400698,0.08461539,0.0004757282,0.000003483655,0.00002781154,0.670949,0.0004254001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326463,0.004776695,0.001050655,0.02661777,0.005545572,0.01063153,0.00003269221,0.0003508817,0.01834785],"genre_scores_gemma":[0.9908969,0.0008821251,0.00006003856,0.0007003327,0.0005172773,0.001007644,0.00002239535,0.00004761896,0.005865686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6678145,"threshold_uncertainty_score":0.9933681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2281597274520446,"score_gpt":0.5012608921999161,"score_spread":0.2731011647478715,"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."}}