{"id":"W4392706460","doi":"10.51731/cjht.2024.852","title":"Andexanet Alfa (Ondexxya)","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rivaroxaban; Reimbursement; Apixaban; Medicine; Intensive care medicine; Internal medicine; Health care; Warfarin; Political science","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":[0.001189576,0.0002072043,0.0003113835,0.0007668911,0.0002357889,0.000984277,0.0003677426,0.0004746787,0.02056204],"category_scores_gemma":[0.002942723,0.00006816666,0.0006770907,0.000815772,0.0003233693,0.0005332268,0.0003574426,0.0005802183,0.00260434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880731,"about_ca_system_score_gemma":0.004306902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02548427,"about_ca_topic_score_gemma":0.07539658,"domain_scores_codex":[0.9993283,0.0001551614,0.0001177919,0.00004784154,0.0002885148,0.00006247424],"domain_scores_gemma":[0.9983353,0.0004887687,0.0003922976,0.00004681271,0.0006292516,0.0001076836],"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":[0.0003636725,0.0000338074,0.0007838394,0.006157269,0.0001565251,0.0001005471,0.00004016654,0.0001011479,0.00108164,0.005937283,0.1516593,0.8335848],"study_design_scores_gemma":[0.0001113362,0.000174992,0.003974121,0.003647893,0.0001971836,0.0002674316,0.00004789379,0.00006087273,0.001066342,0.000630489,0.9898107,0.00001067321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007838519,0.7171462,0.001711538,0.02481218,0.005166803,0.0002449398,0.005447597,0.0001781856,0.2374542],"genre_scores_gemma":[0.0818401,0.7670264,0.006009992,0.01421747,0.001752194,0.0002400744,0.006268898,0.00006456595,0.1225803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02548427,"threshold_uncertainty_score":0.0687868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09033240018256643,"score_gpt":0.3655339634611459,"score_spread":0.2752015632785795,"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."}}