{"id":"W4407007914","doi":"10.36838/v6i5.19","title":"Optimization of Warfarin Dosing Using Machine Learning: A Literature Review","year":2024,"lang":"en","type":"review","venue":"International journal of high school research","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cargill (Canada)","funders":"","keywords":"Dosing; Warfarin; Computer science; Artificial intelligence; Machine learning; Medicine; Pharmacology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002790611,0.0002517131,0.00147888,0.002157132,0.00005317104,0.0001875962,0.000477967,0.000198651,0.0005188782],"category_scores_gemma":[0.002810898,0.0001676734,0.0009128003,0.001182801,0.00005919349,0.0002573328,0.0002918071,0.002043996,0.00004181106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005170127,"about_ca_system_score_gemma":0.000808136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001949955,"about_ca_topic_score_gemma":4.820685e-7,"domain_scores_codex":[0.9952818,0.0004978126,0.001529768,0.0002358772,0.00224596,0.000208803],"domain_scores_gemma":[0.9957311,0.000327389,0.0009305711,0.0001947179,0.002648396,0.0001678131],"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":[0.0007567135,0.0001103718,0.0008191775,0.2353629,0.008492124,0.003519231,0.0001161909,0.003143286,0.00003576313,0.001859622,0.01346755,0.7323171],"study_design_scores_gemma":[0.0004068511,0.0001706256,0.000005872664,0.2721181,0.001497283,0.0008708423,0.000005737336,0.0007743526,0.000002651881,0.000070401,0.723967,0.0001102848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001141515,0.9963372,0.0005025386,0.001412427,0.0008878465,0.0005531283,0.00001918379,0.00001273905,0.0002635176],"genre_scores_gemma":[0.00006169656,0.9903957,0.004131703,0.00003695464,0.002396345,0.000001680248,0.0001601627,0.0000551743,0.002760539],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7322068,"threshold_uncertainty_score":0.8880257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2492055735067306,"score_gpt":0.5317597055488745,"score_spread":0.282554132042144,"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."}}