{"id":"W3133109938","doi":"10.1080/09537104.2021.1889310","title":"Platelets: bridging thrombosis and inflammation","year":2021,"lang":"en","type":"editorial","venue":"Platelets","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Platelet; Bridging (networking); Inflammation; Thrombosis; Medicine; Immune system; Platelet activation; Cardiology; Immunology; Internal medicine; Computer science","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":[0.0001657092,0.0005307402,0.001170215,0.0002155548,0.0001642887,0.0001426905,0.00009618939,0.001060779,0.0001970147],"category_scores_gemma":[0.0004256998,0.0004976286,0.0001666081,0.0002015621,0.00007241564,0.0001781042,0.0001165164,0.0008627975,0.0001220387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001684974,"about_ca_system_score_gemma":0.0003345864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001327391,"about_ca_topic_score_gemma":0.00004311312,"domain_scores_codex":[0.9974581,0.00004395231,0.0004865619,0.0007394301,0.0007807095,0.0004912295],"domain_scores_gemma":[0.998535,0.0003349641,0.0002408108,0.0004248323,0.000232183,0.0002321846],"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":[0.00009216995,0.0001238944,0.0002558233,0.0006338644,0.0008837408,0.00364976,0.0002201758,0.000001933127,0.0007288794,0.00001210702,0.9764986,0.01689902],"study_design_scores_gemma":[0.003796173,0.0002114473,0.0006960396,0.001143056,0.0006978931,0.0002594091,0.0000459082,0.0001489697,0.001517217,0.00009422448,0.9908087,0.0005809681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.4962876,0.003798098,0.00002584297,0.0008510381,0.4936475,0.0007562978,0.0002384996,0.0002488166,0.004146257],"genre_scores_gemma":[0.05241988,0.01570505,0.0007678682,0.0001840032,0.917078,0.0001094973,0.01060812,0.0002706402,0.002856954],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4438677,"threshold_uncertainty_score":0.9997475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543287934517804,"score_gpt":0.2847448139842553,"score_spread":0.2693119346390772,"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."}}