{"id":"W2804496804","doi":"10.1172/jci.insight.99062","title":"Aquaporin-1 regulates platelet procoagulant membrane dynamics and in vivo thrombosis","year":2018,"lang":"en","type":"article","venue":"JCI Insight","topic":"Ion Transport and Channel Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; National Institutes of Health; Directorate for Biological Sciences; BrisSynBio; National Eye Institute; Cumming School of Medicine, University of Calgary; University of Calgary; Wolfson Foundation; National Institute of Diabetes and Digestive and Kidney Diseases; Biotechnology and Biological Sciences Research Council; University of Bristol; British Heart Foundation","keywords":"Hemostasis; Platelet; Mechanosensitive channels; Aquaporin 1; In vivo; Thrombus; Coagulation; Chemistry; Platelet activation; Cell biology; Aquaporin; Secretion; Biophysics; Immunology; Internal medicine; Medicine; Biology; Biochemistry; Water channel; Ion channel","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001593931,0.0002135004,0.000196556,0.0001974475,0.0001250843,0.0003087872,0.0001763982,0.0002691315,0.0006542444],"category_scores_gemma":[0.0001658867,0.000103299,0.0001041843,0.00008614068,0.0002971245,0.0002677882,0.0001272979,0.000476595,0.0001595338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101242,"about_ca_system_score_gemma":0.0001424916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003647186,"about_ca_topic_score_gemma":0.0003125184,"domain_scores_codex":[0.9999144,0.00001860426,0.000005958766,0.00001733523,0.00002011116,0.00002353322],"domain_scores_gemma":[0.9998908,0.00001660063,0.00004953935,0.00000703632,0.00001070136,0.0000252007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001873196,0.00002059471,0.0003398741,0.00002794099,0.000003292223,0.0001455974,0.00001754939,0.0001293247,0.9973255,0.0004441913,0.0001415561,0.001217144],"study_design_scores_gemma":[0.00006087375,0.0002151635,0.01629017,0.000008177031,0.00002735928,0.0008660677,0.00007891974,0.003235624,0.9747994,0.0006019736,0.00380787,0.000008434417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899632,0.002452807,0.005244769,0.0005485105,0.00003478625,0.00001450874,0.0002341617,0.00012604,0.001381055],"genre_scores_gemma":[0.9964914,0.001012173,0.0008159787,0.00007435709,0.00001617131,0.00001704158,0.0001216415,0.00001962346,0.001431676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006542444,"threshold_uncertainty_score":0.002975702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021607694613338,"score_gpt":0.2330769446697992,"score_spread":0.2228608677236658,"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."}}