{"id":"W2146187238","doi":"10.12968/pnur.2010.21.9.78079","title":"Benefits of a county training service for practice staff","year":2010,"lang":"en","type":"article","venue":"Practice Nursing","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary care; Training (meteorology); Service (business); Nursing; Consistency (knowledge bases); General practice; Medicine; Secondary care; Medical education; Family medicine; Business; Geography; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001519903,0.0005806728,0.0005081701,0.0009278167,0.007812606,0.002045923,0.001427608,0.004875797,0.03930449],"category_scores_gemma":[0.007434672,0.001049458,0.0007644938,0.0004544994,0.001255279,0.001204278,0.005200744,0.002593448,0.007085044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003138147,"about_ca_system_score_gemma":0.03248078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07617334,"about_ca_topic_score_gemma":0.3302578,"domain_scores_codex":[0.9975358,0.0005245573,0.0001125685,0.0001876422,0.0005447443,0.001094613],"domain_scores_gemma":[0.9787784,0.001051484,0.0005789531,0.0007493082,0.002405788,0.01643614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002931095,0.0116161,0.1792578,0.0005373349,0.0001696173,0.003777146,0.004552472,0.002534103,0.009730467,0.002895457,0.4471685,0.3348298],"study_design_scores_gemma":[0.002746677,0.01327343,0.7185558,0.0005883327,0.0003677056,0.007110904,0.03136521,0.003863179,0.001764516,0.001417233,0.2187101,0.0002368599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7813055,0.001117727,0.002775334,0.1027575,0.004817522,0.002500419,0.001881853,0.001880662,0.1009635],"genre_scores_gemma":[0.8415093,0.0005701089,0.008994045,0.02337733,0.001603935,0.001494681,0.001206578,0.000186742,0.1210572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07617334,"threshold_uncertainty_score":0.1514599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300247492932547,"score_gpt":0.5012605204288053,"score_spread":0.3712357711355506,"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."}}