{"id":"W7007940581","doi":"","title":"Artificial intelligence in nursing education 1:strengths and weaknesses","year":2023,"lang":"en","type":"other","venue":"Research Portal (King's College London)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Strengths and weaknesses; Nurse education; Nursing care; MEDLINE","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":[0.02924641,0.0005549676,0.0008113424,0.004265457,0.002228924,0.01543908,0.002018841,0.004196075,0.009459763],"category_scores_gemma":[0.03612745,0.0004558201,0.0004395455,0.004302655,0.007285694,0.008976817,0.006691397,0.005798707,0.004315944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005526502,"about_ca_system_score_gemma":0.01017279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003879185,"about_ca_topic_score_gemma":0.009783077,"domain_scores_codex":[0.983166,0.00860085,0.001165429,0.0004878685,0.006219488,0.0003603841],"domain_scores_gemma":[0.91967,0.06104328,0.001647126,0.002780301,0.01234629,0.002513107],"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":[0.00002138613,0.00006361927,0.001558049,0.003519382,0.00002148614,0.0001417165,0.003048085,0.0002220651,0.0001241565,0.1166562,0.1152899,0.7593339],"study_design_scores_gemma":[0.000009511199,0.00004883506,0.002479138,0.01381975,0.00002079016,0.0007135138,0.004453006,0.0004530632,0.0002513928,0.08282861,0.8948817,0.00004081568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00348589,0.2567353,0.01183127,0.4394044,0.006579158,0.0001495004,0.0001154516,0.0002778159,0.2814212],"genre_scores_gemma":[0.1352776,0.5426947,0.05715685,0.1381876,0.00820821,0.0007075463,0.000244904,0.0006103987,0.1169121],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02924641,"threshold_uncertainty_score":0.1546716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05159532811401617,"score_gpt":0.4244033250551032,"score_spread":0.372807996941087,"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."}}