{"id":"W2055366255","doi":"10.1177/1076029612460427","title":"Interpreting Results From Factor V Leiden Mutation Analysis","year":2012,"lang":"en","type":"letter","venue":"Clinical and Applied Thrombosis/Hemostasis","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services; Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Factor V Leiden; Factor (programming language); Mutation testing; Mutation; Genetics; Medicine; Internal medicine; Biology; Computer science; Thrombosis; Venous thrombosis; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.003545897,0.001043692,0.001493422,0.001741179,0.001593749,0.003834869,0.001614974,0.02072631,0.002865843],"category_scores_gemma":[0.05442174,0.0008318615,0.00093547,0.0009230113,0.002307351,0.001920381,0.001053011,0.0137793,0.004149062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002283638,"about_ca_system_score_gemma":0.001264518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326014,"about_ca_topic_score_gemma":0.003311609,"domain_scores_codex":[0.9922649,0.0031575,0.001514602,0.0005674169,0.001818358,0.0006773711],"domain_scores_gemma":[0.9814711,0.01264237,0.001309517,0.0008199257,0.002646909,0.001110265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003581171,0.0001706204,0.02942176,0.0003195117,0.0001202268,0.3145952,0.001940534,0.0008294287,0.004093871,0.006427888,0.575758,0.06596472],"study_design_scores_gemma":[0.0002460768,0.0003937155,0.01833223,0.001369381,0.0003574811,0.6273885,0.002748608,0.006952681,0.006537284,0.03983891,0.2956032,0.0002319564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02213217,0.006078311,0.004055663,0.909613,0.02378579,0.00006951387,0.0001785837,0.0002568363,0.03383015],"genre_scores_gemma":[0.2057995,0.005280215,0.009338805,0.6678976,0.0975922,0.00008672895,0.0001596806,0.0002102412,0.013635],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02072631,"threshold_uncertainty_score":0.01875269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040786229873727,"score_gpt":0.3652330120099764,"score_spread":0.2611543890226038,"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."}}