{"id":"W1844288063","doi":"10.18632/oncotarget.5097","title":"Fibronectin orchestrates thrombosis and hemostasis","year":2015,"lang":"en","type":"editorial","venue":"Oncotarget","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Hemostasis; Thrombosis; Medicine; Fibronectin; Immunology; Bioinformatics; Biology; Cell biology; Internal medicine; Extracellular matrix","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":[0.001097669,0.0008931141,0.0008889566,0.0006089746,0.0005249513,0.001828609,0.0006843419,0.003157374,0.003971097],"category_scores_gemma":[0.001296919,0.0002242664,0.0003302742,0.0002675147,0.001056995,0.001160173,0.0007335792,0.004072005,0.002248687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008436113,"about_ca_system_score_gemma":0.00082311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002014387,"about_ca_topic_score_gemma":0.0005926874,"domain_scores_codex":[0.9995773,0.00006947707,0.00004501521,0.00006552137,0.0001963918,0.00004622551],"domain_scores_gemma":[0.9992738,0.0002251803,0.00006810212,0.00002344225,0.0001816578,0.0002276898],"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":[0.0001417832,0.00002361531,0.0001559376,0.001405504,0.00003032448,0.0005986915,0.00009219275,0.00006728184,0.002762979,0.006017046,0.8610752,0.1276295],"study_design_scores_gemma":[0.00001916335,0.00002884656,0.0001820924,0.0002112089,0.00001423407,0.0004909245,0.00002876957,0.00003471167,0.000420941,0.001182821,0.9973808,0.000005491147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001109535,0.4106168,0.001037425,0.05557716,0.5195784,0.00004673233,0.0001334844,0.0001930188,0.01170746],"genre_scores_gemma":[0.007476415,0.237805,0.0004108018,0.02031465,0.7146954,0.00003707366,0.000102174,0.00004075739,0.01911777],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.003971097,"threshold_uncertainty_score":0.01328462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05281273165893942,"score_gpt":0.3770215610227478,"score_spread":0.3242088293638084,"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."}}