{"id":"W7162038370","doi":"10.82308/30408","title":"Serotonergic antidepressants' effects on bleeding and cerebrovascular accidents","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vascular disease; Hospital admission; Risk factor","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":[0.0006420647,0.0001575316,0.0002969214,0.0003609204,0.0001918596,0.0004240396,0.0001607083,0.0002912298,0.002831248],"category_scores_gemma":[0.001947994,0.0001089578,0.0004317438,0.0003233902,0.0001788451,0.0001211871,0.0001829242,0.0002815542,0.0002142255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002965921,"about_ca_system_score_gemma":0.0005126782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002205145,"about_ca_topic_score_gemma":0.006819712,"domain_scores_codex":[0.9997023,0.0001497899,0.00004066363,0.00003182358,0.00004704444,0.00002832621],"domain_scores_gemma":[0.9983888,0.0007956455,0.0005578464,0.00005993505,0.000124674,0.00007309899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01698561,0.000621003,0.4519596,0.006179973,0.00225006,0.0004765456,0.0005095493,0.000653645,0.01289781,0.0006230829,0.002567654,0.5042755],"study_design_scores_gemma":[0.0005611298,0.009156241,0.9733936,0.0009840982,0.001447844,0.001018119,0.0002063604,0.0002562631,0.0040046,0.000291054,0.008657482,0.0000233479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8300014,0.161794,0.000252381,0.0009459374,0.0001012818,0.0001013872,0.001060486,0.00001410877,0.00572894],"genre_scores_gemma":[0.9379714,0.05841478,0.0006143987,0.0004851064,0.0001669453,0.00007466741,0.0004147069,0.000002790353,0.001855214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002831248,"threshold_uncertainty_score":0.009471476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009495323678526207,"score_gpt":0.3252768325826496,"score_spread":0.3157815089041234,"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."}}