{"id":"W2938930785","doi":"10.1371/journal.pone.0215153","title":"Validating the Alberta Context Tool in a multi-site Australian Emergency Department nurse population","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Medical Research Council; National Health and Medical Research Council; Australian Catholic University","keywords":"Cronbach's alpha; Confirmatory factor analysis; Exploratory factor analysis; Intraclass correlation; Emergency department; Context (archaeology); Population; Psychology; Health care; Medicine; Clinical psychology; Family medicine; Nursing; Psychometrics; Statistics; Structural equation modeling; Environmental health; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02405186,0.000477853,0.000747895,0.002441787,0.001267491,0.0018043,0.001557952,0.0009611255,0.001243579],"category_scores_gemma":[0.04230491,0.0005642129,0.0009626417,0.001615332,0.00102106,0.001393718,0.003231474,0.001195078,0.0003353383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251481,"about_ca_system_score_gemma":0.006466828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02621991,"about_ca_topic_score_gemma":0.07080323,"domain_scores_codex":[0.9865284,0.0079762,0.001196128,0.0006488934,0.002977934,0.0006724391],"domain_scores_gemma":[0.9769324,0.01010015,0.002770555,0.001316298,0.007657269,0.001223252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008807367,0.002555223,0.834444,0.0006435393,0.0001609132,0.001021667,0.02535272,0.001098203,0.001771467,0.0007987752,0.002824075,0.1284487],"study_design_scores_gemma":[0.0001452991,0.002279539,0.9722533,0.000421415,0.00008346695,0.000676389,0.01251902,0.004727595,0.0007376748,0.0007609983,0.005322411,0.00007297773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926381,0.0002304147,0.002315714,0.000461572,0.00003226086,0.001788174,0.0002788279,0.00002433044,0.002230573],"genre_scores_gemma":[0.9665872,0.0005129103,0.02582245,0.0005089183,0.00002856822,0.005113567,0.0005025924,0.00001983031,0.0009039399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621991,"threshold_uncertainty_score":0.1271999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5586342465990153,"score_gpt":0.5777462198060513,"score_spread":0.01911197320703606,"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."}}