{"id":"W4387639872","doi":"10.17483/2368-6669.1408","title":"Healthcare AI: A Revised Quebec Framework for Nursing Education","year":2023,"lang":"en","type":"article","venue":"Quality Advancement in Nursing Education - Avancées en formation infirmière","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Curriculum; Health care; Process (computing); Informatics; Medical education; Psychology; Nurse education; Knowledge management; Health informatics; Nursing; Engineering ethics; Medicine; Computer science; Pedagogy; Engineering; Political science; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001193565,0.0002925906,0.0004414326,0.000823147,0.0004106379,0.0001022374,0.0001565415,0.0002876416,0.00007462312],"category_scores_gemma":[0.001246975,0.0003306488,0.0001390176,0.001368277,0.000119694,0.001118029,0.00001105539,0.0004396782,0.0001653508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003013129,"about_ca_system_score_gemma":0.002599346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009888409,"about_ca_topic_score_gemma":0.0003337661,"domain_scores_codex":[0.996561,0.0002726699,0.001571662,0.0004985307,0.000494974,0.0006011851],"domain_scores_gemma":[0.9972003,0.0005563795,0.0005423597,0.0005867763,0.0008546988,0.0002594989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002765267,0.001536459,0.003081191,0.001568322,0.000008893939,1.397955e-7,0.02440574,0.0002111989,0.000158557,0.1512154,0.009727185,0.8078104],"study_design_scores_gemma":[0.0007538814,0.00080137,0.04154308,0.03481786,0.0001551934,0.00004582384,0.1914295,0.005192602,0.007066328,0.5175576,0.1992882,0.001348598],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4597949,0.002719422,0.1371604,0.3698955,0.01707452,0.009270173,0.00006435629,0.0009220228,0.003098742],"genre_scores_gemma":[0.9614369,0.0008299787,0.02292255,0.006099281,0.001706412,0.001889989,0.002810359,0.00007493798,0.002229606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8064618,"threshold_uncertainty_score":0.9999145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607460204331936,"score_gpt":0.5417665948911047,"score_spread":0.381020574457911,"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."}}