{"id":"W2757305539","doi":"10.1016/j.cjca.2017.07.420","title":"DEVELOPMENT AND EVALUATION OF AN INTELLIGENT LEARNING ENVIRONMENT FOR THE ASSESSMENT AND MANAGEMENT OF CARDIOMETABOLIC RISK BY ACUTE CARE NURSES: A RESEARCH PROTOCOL","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Psychological intervention; Protocol (science); Nursing; Health care; Acute care; Knowledge management; Medical education; Session (web analytics); Computer science; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03497051,0.002231867,0.003204406,0.002395233,0.004328461,0.00274993,0.003764534,0.003152901,0.01371787],"category_scores_gemma":[0.03617167,0.002215725,0.003836374,0.001322212,0.002392014,0.002011101,0.00379516,0.003861335,0.003212471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007146669,"about_ca_system_score_gemma":0.03644661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004377311,"about_ca_topic_score_gemma":0.005844891,"domain_scores_codex":[0.9851301,0.006442016,0.003213791,0.001233249,0.002740134,0.001240756],"domain_scores_gemma":[0.9784289,0.006966954,0.002138148,0.002421633,0.007769457,0.002274875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1332812,0.3569664,0.02111403,0.02225941,0.001309929,0.001087663,0.01297187,0.01328603,0.008673108,0.006141422,0.008492428,0.4144164],"study_design_scores_gemma":[0.3048826,0.4476931,0.08211175,0.01262632,0.004757511,0.0004087894,0.01289264,0.01000304,0.02965537,0.005124046,0.08898825,0.0008567087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.05450051,0.0001217922,0.004216518,0.0001132425,0.00007647119,0.9387031,0.0006618115,0.00005435237,0.001552145],"genre_scores_gemma":[0.01730475,0.0002573153,0.01786229,0.00009478712,0.00002570893,0.9632105,0.0003647953,0.000009545982,0.0008703063],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03497051,"threshold_uncertainty_score":0.1849439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09270085993575014,"score_gpt":0.4669985011469133,"score_spread":0.3742976412111632,"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."}}