{"id":"W4402758992","doi":"10.1038/s43588-024-00676-7","title":"Using labels to limit AI misuse in health","year":2024,"lang":"en","type":"article","venue":"Nature Computational Science","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute","funders":"","keywords":"Limit (mathematics); Computer science; Artificial intelligence; Psychology; Mathematics","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":[0.01579872,0.0008775347,0.0009758269,0.002841264,0.002342388,0.006070406,0.003103735,0.00385096,0.005879037],"category_scores_gemma":[0.1392878,0.0006716829,0.0007212898,0.001608012,0.003979914,0.01235715,0.005783766,0.00501495,0.002332187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002310313,"about_ca_system_score_gemma":0.004116631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004809444,"about_ca_topic_score_gemma":0.004950409,"domain_scores_codex":[0.9812919,0.009537669,0.001406914,0.002200002,0.004739136,0.0008243246],"domain_scores_gemma":[0.8239106,0.1168903,0.01065282,0.01889955,0.02575915,0.003887432],"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":[0.001476629,0.001189166,0.05454471,0.0009443015,0.0002134497,0.0005119533,0.005377437,0.02307524,0.0108816,0.1435329,0.03764555,0.720607],"study_design_scores_gemma":[0.0002433087,0.0006035215,0.01036076,0.001452805,0.0003013141,0.0007840728,0.003133242,0.2637831,0.02678872,0.5591412,0.1331797,0.0002282633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1078939,0.003360186,0.7783668,0.03887877,0.001887204,0.0004051855,0.001414559,0.006111297,0.06168209],"genre_scores_gemma":[0.7463741,0.0008357541,0.2361217,0.005561143,0.0008521318,0.000345512,0.001093198,0.0007702724,0.008046277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01579872,"threshold_uncertainty_score":0.0835526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2200922754446732,"score_gpt":0.5638664346535956,"score_spread":0.3437741592089224,"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."}}