{"id":"W2915588768","doi":"10.1097/nna.0000000000000723","title":"Grassroots to Global","year":2019,"lang":"en","type":"article","venue":"JONA The Journal of Nursing Administration","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grassroots; Economic shortage; China; Health care; Nursing shortage; Nursing; Political science; Public relations; Atlanta; Quality (philosophy); Business; Medicine; Nurse education; Metropolitan area","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00134607,0.000117605,0.0002339555,0.00005043307,0.0003640206,0.00001512832,0.0002799062,0.0001271279,0.0002195868],"category_scores_gemma":[0.0001915598,0.00007883311,0.00006626664,0.000326697,0.00003082151,0.0001703926,0.00001738939,0.0004604612,0.0005316369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007432363,"about_ca_system_score_gemma":0.0006451881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002305825,"about_ca_topic_score_gemma":0.00005751556,"domain_scores_codex":[0.9977269,0.0005098358,0.0007877468,0.00009548311,0.0004961709,0.0003838747],"domain_scores_gemma":[0.9981903,0.0003090007,0.0006487052,0.0002453161,0.0003757864,0.0002308237],"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":[0.007726499,0.001042507,0.2283888,0.0003773122,0.0001337647,0.00004581827,0.02217592,0.0009457608,0.0041711,0.03596231,0.6112481,0.08778206],"study_design_scores_gemma":[0.003590735,0.008339287,0.6396584,0.01120029,0.0003167794,0.0008145078,0.05075637,0.0004574253,0.0005321924,0.02835569,0.2553135,0.0006648063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434358,0.000213901,0.0007404384,0.02617957,0.00379307,0.0005853286,0.000007759294,0.00002474345,0.02501939],"genre_scores_gemma":[0.9953181,0.00002056244,0.0009832818,0.001637556,0.0006509504,0.000002401008,0.000002607458,0.0000109751,0.001373629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4112695,"threshold_uncertainty_score":0.6833295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0634460352455174,"score_gpt":0.4943849278800665,"score_spread":0.4309388926345491,"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."}}