{"id":"W2170221697","doi":"","title":"Predicting the use of electronic prescribing among early adopters in primary care.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Electronic prescribing; Medical prescription; Medicine; Technology acceptance model; Early adopter; Family medicine; Primary care; Health information technology; Usability; Health care; Nursing; Business; Marketing; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.002198864,0.0003044661,0.0002063851,0.0004791453,0.000319231,0.0007285303,0.0002969421,0.0006624534,0.002151308],"category_scores_gemma":[0.01522864,0.0002582547,0.0002706301,0.0003438185,0.0003109815,0.0004577806,0.0003153214,0.0006348799,0.0002433804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007274623,"about_ca_system_score_gemma":0.001143703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04230781,"about_ca_topic_score_gemma":0.0736213,"domain_scores_codex":[0.9990543,0.0003708522,0.00007254056,0.00008712043,0.0003043146,0.0001109159],"domain_scores_gemma":[0.9872059,0.0069903,0.003356085,0.0002695546,0.001179264,0.0009988901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004754062,0.000198322,0.9962478,0.00001504907,0.00001440672,0.00002993073,0.0003123759,0.00007773374,0.000183432,0.00000539272,0.00004605695,0.002821902],"study_design_scores_gemma":[0.000008076291,0.0003336303,0.9982002,0.00001290444,0.000009767133,0.00006404572,0.0004153443,0.0007709645,0.00007585248,0.000008308046,0.00009757622,0.00000345852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993832,0.00006283296,0.0001048773,0.00009620445,0.000001780864,0.00002440681,0.00005047259,0.000003585764,0.0002725625],"genre_scores_gemma":[0.9992359,0.00005776981,0.0003802719,0.00004292621,0.000003256978,0.00001399313,0.00006210386,7.966776e-7,0.0002029493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04230781,"threshold_uncertainty_score":0.08412308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07236627055537076,"score_gpt":0.2980048347416128,"score_spread":0.2256385641862421,"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."}}