{"id":"W1997851422","doi":"10.1016/j.socscimed.2011.04.009","title":"Electronic prescriptions and disruptions to the jurisdiction of community pharmacists","year":2011,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Jurisdiction; Medical prescription; Work (physics); Medicine; Information technology; Nursing; Pharmacist; Position (finance); Scale (ratio); Quality (philosophy); Family medicine; Public relations; Pharmacy; Business; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004473364,0.0000865972,0.0002660126,0.001558415,0.002785189,0.003028231,0.001046956,0.001648471,0.007288764],"category_scores_gemma":[0.0807503,0.0002763618,0.0003639541,0.002867069,0.001746328,0.002477392,0.004255745,0.00254721,0.0002883097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004006125,"about_ca_system_score_gemma":0.007046809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06123311,"about_ca_topic_score_gemma":0.08616271,"domain_scores_codex":[0.9866829,0.005643196,0.001225445,0.0007848218,0.003121612,0.002542081],"domain_scores_gemma":[0.8845446,0.03100673,0.05732282,0.00446423,0.009555353,0.01310617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000460947,0.0002853454,0.9776382,0.00002298295,0.00005336882,0.0003815111,0.004549377,0.0002519778,0.00008019452,0.00133333,0.001236427,0.01370634],"study_design_scores_gemma":[0.00004099798,0.0002073983,0.963466,0.00007073364,0.00004686815,0.0005914537,0.02966832,0.000928082,0.0001837407,0.001665683,0.003105476,0.00002522413],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913167,0.0001570295,0.0001198511,0.003633516,0.00001647848,0.00001859022,0.0002085177,0.000004703605,0.004524641],"genre_scores_gemma":[0.9993525,0.00004860673,0.00003708237,0.0002175602,0.00001426575,0.000004638562,0.00004249848,0.000001838344,0.0002808733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06123311,"threshold_uncertainty_score":0.1217534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1926259468037541,"score_gpt":0.4533148866446544,"score_spread":0.2606889398409004,"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."}}