{"id":"W104746134","doi":"10.1111/j.1538-79333.2004.0615f.x","title":"Aspirin","year":2004,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Antithrombotic; Aspirin; Platelet; Medicine; Whole blood; Blood flow; Blood viscosity; Internal medicine; Cardiology; Pharmacology","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":[0.0001788359,0.0005421111,0.00055526,0.0008790524,0.0004858834,0.0006523501,0.0004015417,0.0006463474,0.1363676],"category_scores_gemma":[0.0005985946,0.0001929609,0.000421944,0.0004042681,0.0001794012,0.0002660699,0.0005141743,0.0008326509,0.0746408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017363,"about_ca_system_score_gemma":0.0005266407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005066178,"about_ca_topic_score_gemma":0.001027779,"domain_scores_codex":[0.9996896,0.00004180102,0.00002693159,0.00005111273,0.000132924,0.00005770588],"domain_scores_gemma":[0.9998719,0.00001366727,0.00001666815,0.00002729501,0.00003124396,0.00003925297],"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":[0.002711818,0.0009262492,0.002694807,0.001202869,0.0001824716,0.001733993,0.0001033812,0.00009615264,0.04039985,0.005938927,0.258173,0.6858366],"study_design_scores_gemma":[0.0006954984,0.001227971,0.005235114,0.0001746237,0.0001622544,0.004151702,0.00003893574,0.0001016734,0.01152743,0.001151375,0.975514,0.00001938102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05462393,0.05894776,0.005474056,0.007489144,0.004556605,0.001443671,0.006282183,0.002768165,0.8584145],"genre_scores_gemma":[0.202004,0.03365638,0.005645651,0.006803459,0.001636073,0.00060768,0.00916412,0.0001667961,0.7403158],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1363676,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04384217936008118,"score_gpt":0.3168566644423162,"score_spread":0.273014485082235,"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."}}