{"id":"W4390546619","doi":"10.1097/acm.0000000000005624","title":"Meeting the Need for Human Connection in Our Health Care Workforce","year":2023,"lang":"en","type":"letter","venue":"Academic Medicine","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Connection (principal bundle); Nursing; MEDLINE; Health care; Medicine; Medical education; Political science; Engineering","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":[0.00660659,0.0009859754,0.0009796666,0.000765796,0.003971138,0.006185142,0.003751204,0.01803372,0.01202436],"category_scores_gemma":[0.04377179,0.0006807694,0.0006443592,0.0005233043,0.003924264,0.005487924,0.002573555,0.02574901,0.004472038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002273833,"about_ca_system_score_gemma":0.005606702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677742,"about_ca_topic_score_gemma":0.003611436,"domain_scores_codex":[0.9951044,0.001665319,0.0004619467,0.0006610862,0.001504592,0.0006025234],"domain_scores_gemma":[0.9644559,0.02030887,0.001609437,0.0007488158,0.00760785,0.00526904],"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":[0.00002718936,0.00003463882,0.0002044576,0.0002508579,0.00001006411,0.0003978648,0.0002770306,0.00004160874,0.00007706616,0.0005912836,0.9840834,0.01400469],"study_design_scores_gemma":[0.00004711571,0.0001053903,0.001096706,0.0008971475,0.00003055329,0.001577091,0.001638743,0.0003852407,0.0003917627,0.002650082,0.9911228,0.00005737852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006775922,0.004800129,0.0003810645,0.6947819,0.2975739,0.0000194997,0.00003171582,0.00006216252,0.001671979],"genre_scores_gemma":[0.01314712,0.01002229,0.0007042597,0.4523332,0.5156936,0.00006651535,0.00003493076,0.0001156367,0.007882442],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01803372,"threshold_uncertainty_score":0.04022545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1476552513510183,"score_gpt":0.5171707672654632,"score_spread":0.3695155159144449,"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."}}