{"id":"W2797381554","doi":"10.1097/cin.0000000000000437","title":"Psychometric Properties of the Canadian Nurse Informatics Competency Assessment Scale","year":2018,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Lawrence College; University of Alberta","funders":"","keywords":"Informatics; Health informatics; Exploratory factor analysis; Scale (ratio); Nursing; Medicine; Medical education; Psychology; Knowledge management; Computer science; Psychometrics; Public health; Clinical psychology; Engineering","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":[0.008470817,0.0003609883,0.0006045881,0.002953943,0.002337027,0.001378798,0.001290936,0.000403635,0.00397661],"category_scores_gemma":[0.04149105,0.000248299,0.001248987,0.002872572,0.001039402,0.0006042735,0.001621306,0.000818894,0.0004938276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01493513,"about_ca_system_score_gemma":0.03614308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7571245,"about_ca_topic_score_gemma":0.8106318,"domain_scores_codex":[0.9918643,0.0008140723,0.0005962905,0.0003679032,0.005965239,0.0003920965],"domain_scores_gemma":[0.9711064,0.005184894,0.001421629,0.0006711088,0.01995061,0.001665506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002778356,0.0003387691,0.7566354,0.0005075485,0.0003200308,0.0001132406,0.003346482,0.002156431,0.000650983,0.003090206,0.01817882,0.2143841],"study_design_scores_gemma":[0.00006339025,0.0001609465,0.9793584,0.000229833,0.00006792763,0.00007812772,0.001390031,0.003064586,0.0003014714,0.000648412,0.01458083,0.00005602984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096375,0.002291761,0.0058074,0.002652129,0.0003393788,0.002361152,0.006348355,0.0001989865,0.07036326],"genre_scores_gemma":[0.9749698,0.001235703,0.0135889,0.0004522622,0.00004525606,0.001440463,0.003827007,0.00003823381,0.004402343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7571245,"threshold_uncertainty_score":0.4886116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011298100899456,"score_gpt":0.390462463562607,"score_spread":0.3403494825536124,"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."}}