{"id":"W4312187511","doi":"10.3390/biomedicines11010019","title":"Comprehensive Profiling of Early Neoplastic Gastric Microenvironment Modifications and Biodynamics in Impaired BMP-Signaling FoxL1+-Telocytes","year":2022,"lang":"en","type":"article","venue":"Biomedicines","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Faculty of Medicine and Health, University of Sydney; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Mesenchyme; Cell biology; Extracellular matrix; Biology; Bone morphogenetic protein; Tumor microenvironment; Bone morphogenetic protein 4; Gastric antrum; Mesenchymal stem cell; Antrum; Pathology; Cancer research; Stomach; Medicine; Genetics","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":[0.00007188151,0.0002368653,0.0001374584,0.0003591762,0.0001041686,0.0001834928,0.00008646064,0.000173798,0.0006132878],"category_scores_gemma":[0.00004295682,0.0001051567,0.0001472639,0.0001521891,0.0001261,0.000126827,0.0001444024,0.0002141994,0.0001652847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009739845,"about_ca_system_score_gemma":0.00007391973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003128898,"about_ca_topic_score_gemma":0.00053134,"domain_scores_codex":[0.9999506,0.000004629385,0.000003131045,0.00001209598,0.00001729224,0.00001218877],"domain_scores_gemma":[0.9999623,0.000003626248,0.00001228858,0.000002665609,0.000006964592,0.00001217642],"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":[0.00004294148,0.000003770533,0.0003277474,0.00001195536,0.000002906978,0.00002302689,0.00000768366,0.0000120381,0.9990968,0.00001419195,0.00000725533,0.0004497243],"study_design_scores_gemma":[0.000005981984,0.0001252884,0.04901946,0.000006050582,0.00003293966,0.0004451318,0.00008261672,0.0009082541,0.9476428,0.00006887747,0.001655619,0.000006976675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954106,0.000825334,0.002617569,0.00002773198,0.000006493014,0.00001394585,0.0005785169,0.00004414993,0.0004756139],"genre_scores_gemma":[0.9905462,0.001271459,0.00406005,0.00005216128,0.000004268413,0.00004543543,0.001187976,0.00003728467,0.00279513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006132878,"threshold_uncertainty_score":0.002051711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535516107763509,"score_gpt":0.2570558714150957,"score_spread":0.2317007103374606,"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."}}