{"id":"W4243561654","doi":"10.21203/rs.3.rs-57686/v1","title":"S100A10 has a Critical Regulatory Function in Mammary Tumor Growth and Metastasis: Insights using MMTV-PyMT Oncomice and Clinical Patient Sample Analysis.","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Dalhousie University","funders":"Canadian Institutes of Health Research; Killam Trusts; Dalhousie University; QEII Foundation; Dalhousie Medical Research Foundation; Beatrice Hunter Cancer Research Institute; Nova Scotia Health Research Foundation; Cancer Research Institute","keywords":"Mammary tumor; Metastasis; Function (biology); Sample (material); Cancer; Distant metastasis; Cancer research; Biology; Oncology; Medicine; Internal medicine; Chemistry; Cell biology; Breast cancer","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":[0.0003739909,0.0003250253,0.0002981531,0.0004451053,0.0001956915,0.0005442511,0.0002132109,0.0004611313,0.002477246],"category_scores_gemma":[0.0006391278,0.0002227071,0.0001549606,0.0004709447,0.0004373096,0.0002238539,0.0002349917,0.0006355612,0.000620338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005130637,"about_ca_system_score_gemma":0.0003864333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402794,"about_ca_topic_score_gemma":0.001854841,"domain_scores_codex":[0.9998695,0.00002393355,0.00000644866,0.00003390939,0.00004330886,0.00002296552],"domain_scores_gemma":[0.9998392,0.00006076905,0.00002726448,0.00002343696,0.00002120003,0.00002812258],"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":[0.001741092,0.0001172819,0.03174597,0.00012267,0.00003682026,0.0009259417,0.00008226441,0.0004509999,0.9287369,0.0006804903,0.001758481,0.03360112],"study_design_scores_gemma":[0.0001488114,0.0005148741,0.2563251,0.0000291927,0.0001016089,0.007451994,0.0002732505,0.006644618,0.7093412,0.002487116,0.01665764,0.00002453321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813759,0.002981225,0.008769346,0.0007991592,0.00004587805,0.00005322814,0.002842803,0.0003379506,0.002794557],"genre_scores_gemma":[0.9913686,0.0009561864,0.003876446,0.00008199654,0.000009226783,0.00002881076,0.001868918,0.00006719613,0.001742721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002477246,"threshold_uncertainty_score":0.008287251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127612227713511,"score_gpt":0.4068039593508088,"score_spread":0.2940427365794577,"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."}}