{"id":"W4391787180","doi":"10.26633/rpsp.2024.13","title":"Directrices para presentación de informes de ensayos clínicos sobre intervenciones con inteligencia artificial: extensión CONSORT-AI","year":2024,"lang":"es","type":"article","venue":"Revista Panamericana de Salud Pública","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Consolidated Standards of Reporting Trials; Checklist; Psychological intervention; Delphi method; Protocol (science); Guideline; Transparency (behavior); Artificial intelligence; Medicine; Computer science; Psychology; Alternative medicine; Nursing; Pathology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.64869,0.004184077,0.01092598,0.02682654,0.003681397,0.0126081,0.005466531,0.00773436,0.03456922],"category_scores_gemma":[0.8270375,0.004300619,0.01807732,0.02051657,0.008804461,0.01026556,0.01385342,0.01038507,0.008942699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009688994,"about_ca_system_score_gemma":0.03101567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466028,"about_ca_topic_score_gemma":0.0013663,"domain_scores_codex":[0.1566198,0.6609963,0.1404374,0.01053705,0.02962334,0.001786165],"domain_scores_gemma":[0.1355445,0.6088445,0.07300574,0.09820149,0.08139119,0.003012553],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01003357,0.0005135841,0.004427523,0.251658,0.01640118,0.0004501992,0.01118754,0.002258283,0.000868481,0.09925436,0.1752526,0.4276946],"study_design_scores_gemma":[0.01994882,0.001782142,0.006616425,0.2136276,0.01057369,0.001151047,0.001995996,0.007050849,0.004024844,0.1434084,0.5891981,0.0006220762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.005145869,0.04123346,0.3866635,0.02797611,0.03879612,0.4321809,0.03526169,0.004303034,0.02843931],"genre_scores_gemma":[0.01483815,0.00618132,0.2035534,0.004678997,0.002800327,0.7596016,0.005757543,0.0006213208,0.001967332],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.35131,"threshold_uncertainty_score":0.4332278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111443102248594,"score_gpt":0.4412678883565209,"score_spread":0.3298247861079268,"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."}}