{"id":"W3156414394","doi":"10.21203/rs.3.rs-381601/v1","title":"New MicroRNAs Candidates to Treat Human Colorectal Cancer; Molecular Dynamic Simulations Found a Major Down-Regulator of CLCA4 Tumor Suppressor Gene","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"University of Toronto; Compute Canada","keywords":"microRNA; Colorectal cancer; Biomarker; Gene; Suppressor; Cancer; Gene expression; Cancer research; Computational biology; Biology; Molecular biology; Chemistry; 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":[0.0002267303,0.0005526596,0.0006818047,0.0004195809,0.0005722874,0.0004188891,0.0005636192,0.0006996928,0.004732655],"category_scores_gemma":[0.0005048727,0.0002873254,0.0009006676,0.0003817955,0.0002331594,0.0003189341,0.0003316771,0.0005213392,0.0003999778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005590445,"about_ca_system_score_gemma":0.0008159722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006045393,"about_ca_topic_score_gemma":0.005646921,"domain_scores_codex":[0.9999248,0.00001975859,0.000002834358,0.0000154662,0.00001970935,0.00001750388],"domain_scores_gemma":[0.9998661,0.00006446318,0.00001786077,0.000005681706,0.00002355267,0.00002228332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002225947,0.0001959172,0.00556018,0.0003921434,0.0001631485,0.0003022099,0.00006295559,0.9595785,0.01334448,0.006839033,0.003194064,0.01014479],"study_design_scores_gemma":[0.00004103548,0.00005745731,0.0006665431,0.00001045386,0.00003216179,0.00002184422,0.00002336286,0.9950104,0.001643433,0.0009287171,0.001553457,0.00001128257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8611636,0.003340592,0.1075852,0.001294032,0.0004329366,0.0001843806,0.002626305,0.001002722,0.02237024],"genre_scores_gemma":[0.9572476,0.001196697,0.03501142,0.0002047258,0.00004476007,0.0005070391,0.001501568,0.0001910922,0.004095184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006045393,"threshold_uncertainty_score":0.01583236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668214161273168,"score_gpt":0.3798387243693102,"score_spread":0.3531565827565785,"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."}}