{"id":"W6923568273","doi":"10.1371/journal.pone.0270590.s012","title":"Serious Adverse Events among MAINTAIN participants.","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adverse effect; Event (particle physics); Disease; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003188694,0.0003634983,0.0004390242,0.0006947463,0.0007359802,0.0005608131,0.0005695747,0.0007470975,0.2556557],"category_scores_gemma":[0.01635773,0.0001771734,0.0008686938,0.0004988501,0.000172485,0.0008306215,0.000736815,0.001003937,0.01293022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212266,"about_ca_system_score_gemma":0.001379053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003384975,"about_ca_topic_score_gemma":0.01561681,"domain_scores_codex":[0.9982405,0.00040832,0.0003205795,0.0001301196,0.0007023976,0.000198015],"domain_scores_gemma":[0.9838468,0.00720383,0.003153043,0.0007188135,0.004205982,0.0008715637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001276147,0.0001390909,0.009028182,0.002483243,0.00006637844,0.0002120623,0.0002546801,0.00005752064,0.0003214834,0.0003586722,0.92487,0.06093249],"study_design_scores_gemma":[0.005432932,0.002730201,0.3092208,0.009863504,0.0004338578,0.002366196,0.001514823,0.0009629357,0.003932348,0.003693124,0.6596287,0.0002206027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04069253,0.004522038,0.005344613,0.01716365,0.002862858,0.01680018,0.7669697,0.004588594,0.1410558],"genre_scores_gemma":[0.5711095,0.008874675,0.02144093,0.03375697,0.002328094,0.03376737,0.1771767,0.001209145,0.1503365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2556557,"threshold_uncertainty_score":0.8552535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1323309983966486,"score_gpt":0.4150828434326356,"score_spread":0.2827518450359869,"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."}}