{"id":"W4396660800","doi":"10.4103/ijh.ijh_46_23","title":"Light transmission aggregometry: Useful but difficult diagnostic tool","year":2024,"lang":"en","type":"article","venue":"Iraqi Journal of Hematology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transmission (telecommunications); Computer science; Computational biology; Biology; Telecommunications","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":[0.002241577,0.001218443,0.001189292,0.003603882,0.0008473692,0.003199443,0.001122505,0.00293182,0.003028085],"category_scores_gemma":[0.008452998,0.0004968406,0.0006652952,0.001927379,0.001879766,0.003005229,0.0008747148,0.003565266,0.003268729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008780269,"about_ca_system_score_gemma":0.0006331327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272809,"about_ca_topic_score_gemma":0.0006952477,"domain_scores_codex":[0.9958747,0.001111999,0.0006080437,0.0006498725,0.001467133,0.0002882725],"domain_scores_gemma":[0.9952198,0.001786428,0.00114237,0.0003091961,0.001269735,0.0002725702],"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":[0.0009124179,0.0002678191,0.09171952,0.002898091,0.0003009327,0.1416021,0.001419277,0.0006002819,0.039288,0.01227287,0.1308311,0.5778876],"study_design_scores_gemma":[0.0000495813,0.0004674412,0.03016501,0.002427912,0.0004350798,0.6803524,0.001697507,0.003066424,0.02730639,0.01793426,0.2358075,0.0002905719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1134407,0.5135876,0.1539955,0.1253412,0.01824031,0.0005077551,0.002017537,0.004142706,0.06872677],"genre_scores_gemma":[0.6382039,0.1569599,0.09852712,0.05692322,0.02463162,0.0002699946,0.001305372,0.0006784925,0.02250049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003603882,"threshold_uncertainty_score":0.01185477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303093223331708,"score_gpt":0.2733054836939457,"score_spread":0.2602745514606286,"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."}}