{"id":"W2791396067","doi":"10.1182/blood-2017-05-743187","title":"Cancer and platelet crosstalk: opportunities and challenges for aspirin and other antiplatelet agents","year":2018,"lang":"en","type":"review","venue":"Blood","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Platelet; Medicine; Metastasis; Cancer research; Aspirin; Cancer cell; Cancer; Immunology; Thrombopoiesis; Platelet activation; Angiogenesis; Biology; Internal medicine; Cell biology; Stem cell; Haematopoiesis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002865512,0.0004561468,0.001229439,0.0001652964,0.0001302017,0.00006962068,0.00008194264,0.0003805526,0.00005228126],"category_scores_gemma":[0.00004581837,0.0003655332,0.0001391613,0.00004267074,0.0004309122,0.00006206227,0.0001375161,0.0001244146,0.000002789452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001834695,"about_ca_system_score_gemma":0.0001736565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007612093,"about_ca_topic_score_gemma":0.00001034384,"domain_scores_codex":[0.998485,0.0000483281,0.0004070124,0.0005612341,0.0001599529,0.0003385129],"domain_scores_gemma":[0.9990279,0.0001150517,0.0002398242,0.000282799,0.0000730175,0.0002613714],"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":[0.0000753487,0.000120964,0.0006295412,0.08874314,0.001684436,0.0001689857,0.0001588214,4.742778e-10,5.955145e-7,0.00007017967,0.0008407893,0.9075072],"study_design_scores_gemma":[0.0022996,0.0001884031,0.0002355233,0.01444258,0.003039206,0.0003998999,0.00006348767,0.000001574308,0.00001724157,0.00002606903,0.9789187,0.0003676872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01447022,0.9822711,4.021347e-7,0.0001247255,0.0001267441,0.001618203,0.0007123709,0.0000556759,0.0006205447],"genre_scores_gemma":[0.00008720154,0.9981046,0.0002396274,0.0001579116,0.000388815,0.0005021347,0.00005947909,0.0001088187,0.0003513859],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9780779,"threshold_uncertainty_score":0.9998797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2139562848415545,"score_gpt":0.3723771008491055,"score_spread":0.158420816007551,"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."}}