{"id":"W3037451731","doi":"10.1182/blood.2019002314","title":"The 14-3-3ζ–c-Src–integrin-β3 complex is vital for platelet activation","year":2020,"lang":"en","type":"article","venue":"Blood","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Integrin; Proto-oncogene tyrosine-protein kinase Src; CD49c; Platelet activation; Platelet; Cell biology; Integrin, beta 6; Platelet adhesiveness; Signal transducing adaptor protein; Hemostasis; Chemistry; Collagen receptor; Clot retraction; Antithrombotic; Signal transduction; Biology; Receptor; Biochemistry; Medicine; Immunology; Thrombin; Internal medicine; Platelet aggregation","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":[0.000133798,0.0003400027,0.0002287831,0.0001760028,0.0003684273,0.0003368415,0.0002007983,0.0002788917,0.0009181524],"category_scores_gemma":[0.0001128557,0.0001235113,0.000335973,0.0001621975,0.0002129592,0.0001645944,0.0003062113,0.0006445005,0.0003711301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006234326,"about_ca_system_score_gemma":0.0005237697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400498,"about_ca_topic_score_gemma":0.001441447,"domain_scores_codex":[0.9997963,0.00001602501,0.00001286204,0.00003316131,0.00008243549,0.00005914136],"domain_scores_gemma":[0.9999447,0.000004062591,0.00001579754,0.000007169856,0.00001071422,0.00001753765],"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":[0.00006986066,0.00002102139,0.0004958223,0.00003619008,0.00001013932,0.00007358911,0.00001547718,0.00009590748,0.9954187,0.0005696787,0.000115765,0.003077989],"study_design_scores_gemma":[0.00003408323,0.0001890063,0.01353996,0.00001191264,0.00002848054,0.000746139,0.00003425072,0.002295946,0.9678608,0.0004086457,0.01483788,0.00001297095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754199,0.009102588,0.0104248,0.0002940373,0.00008859877,0.00007879432,0.0003581539,0.0001635871,0.004069611],"genre_scores_gemma":[0.9928733,0.00195042,0.002264956,0.00009310427,0.00001750641,0.00002594578,0.0005266325,0.0000208563,0.00222717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001400498,"threshold_uncertainty_score":0.004523337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605567643696568,"score_gpt":0.2698507558325884,"score_spread":0.2437950793956228,"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."}}