{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007330075,0.0001302216,0.0001350794,0.0000572951,0.00005687973,0.00001593585,0.0000739852,0.0001673461,0.00005230988],"category_scores_gemma":[0.000006822661,0.000115757,0.00003227704,0.00009854126,0.0001067141,0.000007103962,0.00002755823,0.00005058719,0.000005347748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000145964,"about_ca_system_score_gemma":0.00002291727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002801066,"about_ca_topic_score_gemma":0.000860941,"domain_scores_codex":[0.9992592,0.00001522607,0.0001778631,0.0002752304,0.00009172576,0.0001807665],"domain_scores_gemma":[0.9996715,0.000003832867,0.00004776884,0.0001770929,0.00005047486,0.0000492934],"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":[0.0001853433,0.00009838774,0.01080081,0.00005698733,0.00004200536,0.00000833543,0.0004459032,0.00003010749,0.9855654,0.0008661803,0.0004887164,0.001411832],"study_design_scores_gemma":[0.0005797435,0.0002079676,0.0214833,0.00002708252,0.000009607444,0.00001208783,0.00006166827,0.001435227,0.9610801,0.0001772212,0.01471507,0.0002109088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966853,0.0001406912,0.0001981715,0.0001426485,0.0001405773,0.0001635053,0.00001097397,0.00001460585,0.002503523],"genre_scores_gemma":[0.9980736,0.0001813739,0.0001727121,0.00008681201,0.0002614055,0.00001233785,0.0001231136,0.00001809875,0.001070494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02448528,"threshold_uncertainty_score":0.4720435,"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."}}