{"id":"W1964246142","doi":"10.1055/s-0034-1370767","title":"Platelet–Cancer Interactions","year":2014,"lang":"en","type":"review","venue":"Seminars in Thrombosis and Hemostasis","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Platelet; Platelet activation; Microvesicles; Hemostasis; Cancer research; Tumor progression; Immunology; Cell biology; Cancer; Cancer cell; Biology; Medicine; Internal medicine; microRNA; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004729491,0.0005939624,0.002524018,0.0005224167,0.0001233832,0.00005773648,0.0001832502,0.0004387952,0.0008085529],"category_scores_gemma":[0.000124158,0.0005010734,0.0005589747,0.0005193242,0.0002057771,0.00009535342,0.0001901249,0.0006460211,0.00007351892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000357215,"about_ca_system_score_gemma":0.0002213898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002423838,"about_ca_topic_score_gemma":0.00001842004,"domain_scores_codex":[0.9974709,0.0001762875,0.0008831969,0.0007245551,0.0002854717,0.000459552],"domain_scores_gemma":[0.9983988,0.0003575583,0.0003527025,0.0005695611,0.00006828938,0.0002531215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001667312,0.0001325425,0.001350681,0.02139109,0.0005034276,0.00002941053,0.00009300595,3.603867e-8,0.000001306925,0.00004145316,0.01465323,0.9617872],"study_design_scores_gemma":[0.0003545398,0.00004853428,0.0003213874,0.06741711,0.001945883,0.00007490766,0.00006312151,0.00001307522,0.00001886257,0.00003039263,0.9292713,0.0004409244],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004897036,0.9948161,0.000003849389,0.0002843174,0.0004592862,0.001039237,0.0001287076,0.00007657651,0.002702246],"genre_scores_gemma":[0.000101872,0.99747,0.000824373,0.0002731572,0.0002332777,0.0005965778,0.0001343455,0.0001109982,0.0002553519],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9613462,"threshold_uncertainty_score":0.9997441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08037212024070725,"score_gpt":0.4146944676383134,"score_spread":0.3343223473976061,"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."}}