{"id":"W4394369845","doi":"10.6084/m9.figshare.21117179","title":"Additional file 3 of The impact of clinical pharmacist-physician communication on reducing drug-related problems: a mixed study design in a tertiary teaching Hospital in Xinjiang, China","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"","keywords":"China; Pharmacist; Teaching hospital; Medicine; Family medicine; Nursing; Pharmacy; Geography","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":[0.002013569,0.001068685,0.001448166,0.001822214,0.0009450864,0.001065913,0.002428699,0.001135506,0.2078596],"category_scores_gemma":[0.01496,0.0005264314,0.001508527,0.003408082,0.0003150609,0.0009527244,0.00103635,0.001054887,0.01602782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618646,"about_ca_system_score_gemma":0.003882499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04332186,"about_ca_topic_score_gemma":0.06471143,"domain_scores_codex":[0.9988922,0.0002776235,0.0002537467,0.0002478429,0.0001575845,0.0001709885],"domain_scores_gemma":[0.9930307,0.003254605,0.001255257,0.0005060629,0.001468486,0.0004848854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009643589,0.0003835989,0.04126699,0.004298121,0.0003727421,0.00009392139,0.0001787225,0.0007007973,0.00007955475,0.0008716187,0.9437133,0.007076148],"study_design_scores_gemma":[0.02445371,0.001317607,0.476448,0.006524303,0.002434883,0.0004367546,0.00270396,0.006938636,0.001218617,0.006191013,0.4709896,0.0003428785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001351634,0.00003629928,0.0000852075,0.0001113914,0.00001305312,0.0001407795,0.9978103,0.00003791759,0.0004135268],"genre_scores_gemma":[0.01918575,0.0001164145,0.001264866,0.0003735744,0.00004755199,0.004706918,0.9697185,0.00006243311,0.004524061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2078596,"threshold_uncertainty_score":0.6953598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412554434093191,"score_gpt":0.4679719562243463,"score_spread":0.3267165128150271,"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."}}