{"id":"W4294219222","doi":"10.1161/circresaha.122.321431","title":"Fibroblast GSK-3α Promotes Fibrosis via RAF-MEK-ERK Pathway in the Injured Heart","year":2022,"lang":"en","type":"article","venue":"Circulation Research","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"National Heart, Lung, and Blood Institute","keywords":"Fibroblast; MAPK/ERK pathway; Fibrosis; MEK inhibitor; Cancer research; Medicine; Internal medicine; Cell biology; Endocrinology; Chemistry; Signal transduction; Biology; Biochemistry; In vitro","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":[0.0001748172,0.0005215282,0.0002347541,0.0002906066,0.0001960017,0.0002364929,0.0001427414,0.0001851744,0.002115299],"category_scores_gemma":[0.00009900176,0.0001539983,0.0004380539,0.000135878,0.0002486107,0.0001836082,0.0002038605,0.0006697898,0.000597889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288996,"about_ca_system_score_gemma":0.0003033914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003348565,"about_ca_topic_score_gemma":0.0007177941,"domain_scores_codex":[0.9999056,0.00001286353,0.000007641202,0.00001280406,0.00002831209,0.00003272189],"domain_scores_gemma":[0.999931,0.000005677882,0.00002761125,0.00000611511,0.000007150099,0.00002240944],"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":[0.0005282704,0.00008630113,0.0005619726,0.0001884323,0.00001693198,0.0001655123,0.00002761382,0.00008225084,0.9962705,0.000155964,0.0002114199,0.001704732],"study_design_scores_gemma":[0.0002752861,0.001197524,0.0353508,0.00006741392,0.0001014666,0.001438234,0.0001604443,0.002062112,0.9525203,0.0004156463,0.006393997,0.00001680727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890395,0.004665558,0.00210124,0.0003304525,0.00009042224,0.00004115034,0.0005288254,0.0001461944,0.003056603],"genre_scores_gemma":[0.9946866,0.001893994,0.000946362,0.00007025951,0.00001940607,0.00005070767,0.0004248227,0.00001106021,0.001896688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002115299,"threshold_uncertainty_score":0.007076442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07151366106065579,"score_gpt":0.3591224606187363,"score_spread":0.2876087995580805,"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."}}