{"id":"W1507769421","doi":"10.18433/j3x59g","title":"The Impact of Electronic Prescribing on the Professionalization of Community Pharmacists: A Qualitative Study of Pharmacists’ Perception","year":2008,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Professionalization; Pharmacist; Medical prescription; Electronic prescribing; Quality (philosophy); Medicine; Credibility; Nursing; Medical education; Pharmacy; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007302432,0.0002234125,0.0003799727,0.001097171,0.004692681,0.002971701,0.000863162,0.001219082,0.002827324],"category_scores_gemma":[0.02125938,0.000408015,0.0002316736,0.001064499,0.004537262,0.002353191,0.003017261,0.001536644,0.0001192627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004093733,"about_ca_system_score_gemma":0.007932705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04387417,"about_ca_topic_score_gemma":0.04956749,"domain_scores_codex":[0.993262,0.004101928,0.0002134836,0.0003339568,0.001053383,0.001035343],"domain_scores_gemma":[0.9738101,0.01888797,0.002241725,0.000384413,0.002436269,0.002239342],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004561694,0.0001036455,0.01451098,0.0001369753,0.00000509415,0.000710558,0.9763371,0.00002489836,0.0008394902,0.0003040015,0.0002489324,0.006732742],"study_design_scores_gemma":[0.00001026831,0.0001117602,0.01204486,0.00009010683,0.000004630914,0.0002639202,0.984284,0.0001085794,0.000211054,0.00009035898,0.00276708,0.00001338884],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971413,0.0001131463,0.0002222141,0.0008693575,0.000006676983,0.00005916718,0.0000361418,0.000003221326,0.001548829],"genre_scores_gemma":[0.9989768,0.0001496585,0.00015291,0.0002394074,0.000004914149,0.00003803153,0.00001291918,0.000002182871,0.0004230833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9926976,"threshold_uncertainty_score":0.0872376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4358753948130923,"score_gpt":0.5783851893388798,"score_spread":0.1425097945257875,"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."}}