{"id":"W4284687950","doi":"10.1097/jxx.0000000000000739","title":"Membership matters! A toolkit strategy","year":2022,"lang":"en","type":"article","venue":"Journal of the American Association of Nurse Practitioners","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Professional association; Public relations; Dependency (UML); Legislation; State (computer science); Nurse practitioners; Pandemic; Association (psychology); Coronavirus disease 2019 (COVID-19); Political science; Nursing; Psychology; Medicine; Health care; Computer science; Law","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":[0.01623952,0.0009847245,0.000437851,0.001992238,0.01172191,0.0146844,0.003722013,0.0140254,0.09905885],"category_scores_gemma":[0.02978482,0.0008563057,0.0007988335,0.0011902,0.00426017,0.02090398,0.03373509,0.01455455,0.06343158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004217079,"about_ca_system_score_gemma":0.03293789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00469479,"about_ca_topic_score_gemma":0.009195687,"domain_scores_codex":[0.9875722,0.005412277,0.0005405654,0.0008694339,0.00325518,0.00235028],"domain_scores_gemma":[0.9417977,0.006778152,0.001239715,0.002435095,0.006829141,0.04092025],"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":[0.00002286872,0.0002650968,0.0007583559,0.0003238949,0.000007689287,0.0005945103,0.005136003,0.0001543099,0.0005336265,0.05237994,0.8662693,0.0735544],"study_design_scores_gemma":[0.00001344524,0.00004427577,0.0004369178,0.0001908747,0.000002955722,0.0001749058,0.004300821,0.0001300967,0.0001281136,0.006032114,0.9885241,0.00002132722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.006636363,0.002026435,0.0166741,0.5960787,0.01407519,0.001750228,0.0004179393,0.004332261,0.3580088],"genre_scores_gemma":[0.07851978,0.001856562,0.0224983,0.1460131,0.002143055,0.002899,0.0009394513,0.001483264,0.7436476],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09905885,"threshold_uncertainty_score":0.3313849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964720216431091,"score_gpt":0.3152981143889867,"score_spread":0.2956509122246758,"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."}}