{"id":"W1589942091","doi":"","title":"Nurse practitioners and physician attrition.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Attrition; Workload; Economic shortage; Workforce; Physician assistants; Nurse practitioners; Family medicine; Medicine; Nursing; Management; Political science; Health care; Law","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":[0.008079838,0.0001727355,0.0004078588,0.001161408,0.008360553,0.003621924,0.001417923,0.002358921,0.02163045],"category_scores_gemma":[0.03522357,0.0002270949,0.0003691431,0.002331633,0.001454314,0.002241604,0.004950724,0.003981234,0.002963695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01023314,"about_ca_system_score_gemma":0.04629535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1829493,"about_ca_topic_score_gemma":0.2485953,"domain_scores_codex":[0.9902265,0.002447905,0.0003361248,0.0003048134,0.003189816,0.003494916],"domain_scores_gemma":[0.9627925,0.00350898,0.00610338,0.000653435,0.007781532,0.0191602],"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":[0.0001354128,0.000482863,0.2781524,0.0005282615,0.00003629452,0.0006016701,0.01912872,0.000114555,0.00005509897,0.02805629,0.4282181,0.2444903],"study_design_scores_gemma":[0.00006811674,0.0001797024,0.3771405,0.001859491,0.00003075678,0.001249043,0.05337419,0.0003104912,0.00005357099,0.007068104,0.5586175,0.00004860828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1285735,0.02744817,0.0005486619,0.6584707,0.006591611,0.0001695214,0.001173603,0.00007582919,0.1769484],"genre_scores_gemma":[0.7348994,0.03337152,0.0008907368,0.1044266,0.004544963,0.0003245185,0.001149431,0.00008403762,0.1203087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1829493,"threshold_uncertainty_score":0.3637688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05123405046924857,"score_gpt":0.390150722453579,"score_spread":0.3389166719843304,"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."}}