{"id":"W4386820497","doi":"10.24875/ric.23000162","title":"Is Generative Artificial Intelligence the Next Step Toward a Personalized Hemodialysis?","year":2023,"lang":"es","type":"article","venue":"Revista de investigaci�n Cl�nica","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Generalitat de Catalunya; Centres de Recerca de Catalunya","keywords":"Personalized medicine; Generative grammar; Computer science; Artificial intelligence; Generative model; Chatbot; Personalized learning; Data science; Psychology; Bioinformatics","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":[0.00587042,0.0004344042,0.0007904476,0.0006492,0.0008596355,0.005013721,0.001739929,0.00257373,0.004986091],"category_scores_gemma":[0.0142051,0.0005383034,0.00110311,0.0005918818,0.007361075,0.007889055,0.003151219,0.004965801,0.001432558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702725,"about_ca_system_score_gemma":0.001882396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431729,"about_ca_topic_score_gemma":0.001263943,"domain_scores_codex":[0.9970515,0.00181281,0.00009217506,0.0003771537,0.0005001767,0.0001662056],"domain_scores_gemma":[0.9894686,0.007661019,0.0002786497,0.001772069,0.0004983782,0.0003213849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007905358,0.000106466,0.002692807,0.0004257231,0.0001918945,0.000194596,0.002466917,0.01628554,0.001217361,0.8450041,0.01929138,0.1120441],"study_design_scores_gemma":[0.0000200107,0.00002043629,0.000350816,0.0001221319,0.00003234016,0.0001595384,0.0004753061,0.02311825,0.0006478465,0.9203223,0.05468835,0.00004266773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01998016,0.01608594,0.758488,0.1639302,0.001362848,0.00009084207,0.0004131651,0.001756251,0.03789259],"genre_scores_gemma":[0.6334881,0.01345943,0.3081276,0.02783065,0.001974777,0.0002627287,0.0005780807,0.0008352051,0.01344345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00587042,"threshold_uncertainty_score":0.03104609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3685822018932326,"score_gpt":0.4436119310945714,"score_spread":0.07502972920133877,"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."}}