{"id":"W6901953627","doi":"10.6084/m9.figshare.16823703.v1","title":"Additional file 1 of Statistical reanalysis of vascular event outcomes in primary and secondary vascular prevention trials","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Vascular access; Event (particle physics); Clinical trial; Vascular disease; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008926191,0.001308316,0.001835107,0.003615379,0.0008122095,0.002119879,0.002022308,0.001499172,0.8696083],"category_scores_gemma":[0.1465226,0.001091402,0.002039305,0.00528995,0.0005217064,0.001826166,0.001219816,0.001781146,0.1109922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259646,"about_ca_system_score_gemma":0.004044563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004311571,"about_ca_topic_score_gemma":0.008503187,"domain_scores_codex":[0.9956735,0.001707873,0.0009068463,0.0007129711,0.0006665337,0.000332299],"domain_scores_gemma":[0.7986702,0.1809574,0.00639264,0.006195344,0.006643672,0.001140698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0009096103,0.00009880683,0.002700876,0.00831724,0.0003455047,0.00007582302,0.00009057716,0.001490616,0.00008059297,0.00272353,0.9691599,0.01400691],"study_design_scores_gemma":[0.02930935,0.001022882,0.03001164,0.01126541,0.001950609,0.001035756,0.0003990389,0.009925799,0.001069726,0.06199739,0.8516825,0.0003299435],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002325047,0.0000634097,0.001756027,0.0001811831,0.0000517719,0.0004696366,0.9953863,0.0004793713,0.0013798],"genre_scores_gemma":[0.03657204,0.000682523,0.03868363,0.002823524,0.0005168695,0.03090226,0.8525548,0.00399924,0.03326513],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8696083,"threshold_uncertainty_score":0.1859879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257677356698285,"score_gpt":0.3932770141944738,"score_spread":0.2675092785246453,"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."}}