{"id":"W7118958759","doi":"10.65564/pjim.15a69cc151","title":"Post-operative Aspirin in preventing early renal allograft thrombosis: A Meta-Analysis","year":2021,"lang":"","type":"article","venue":"Philippine Journal of Internal Medicine","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aspirin; Thrombosis; Kidney; Transplantation; Cohort; Kidney transplantation","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":[0.009626071,0.002332025,0.01342063,0.003796037,0.0006688614,0.003033974,0.00197992,0.002590638,0.003862272],"category_scores_gemma":[0.01895428,0.00140558,0.0485688,0.004261584,0.0005781118,0.001329485,0.001187098,0.002223916,0.0003273274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518118,"about_ca_system_score_gemma":0.001842525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007554084,"about_ca_topic_score_gemma":0.01170052,"domain_scores_codex":[0.9933912,0.003413017,0.001503088,0.0008283411,0.0005383232,0.0003260106],"domain_scores_gemma":[0.9836376,0.01218118,0.002150722,0.0006772252,0.001052004,0.0003011874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.006949329,0.00005338074,0.00775849,0.08718716,0.8913323,0.0001752345,0.0000491856,0.0007824115,0.0002087604,0.00008180158,0.0003787852,0.005043163],"study_design_scores_gemma":[0.0007939806,0.0002303889,0.004475641,0.003856888,0.9897118,0.00005581593,0.00001977284,0.0002642268,0.00006599115,0.00008499039,0.0004267329,0.0000138338],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02996036,0.9666316,0.0009212835,0.0003406985,0.0002875348,0.0002570628,0.0009777315,0.00005861356,0.0005650719],"genre_scores_gemma":[0.6118308,0.3819622,0.002204936,0.001073527,0.0003745655,0.0006318971,0.001248091,0.00005201535,0.0006218963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01342063,"threshold_uncertainty_score":0.05090815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07527968116135955,"score_gpt":0.3808171349928534,"score_spread":0.3055374538314939,"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."}}