{"id":"W2997044237","doi":"10.3390/cancers12010071","title":"Angioregulatory microRNAs in Colorectal Cancer","year":2019,"lang":"en","type":"review","venue":"Cancers","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Angiogenesis; microRNA; Colorectal cancer; Metastasis; Cancer research; Tumor microenvironment; Cancer; Context (archaeology); Suppressor; Biology; Bioinformatics; Medicine; Gene; Genetics; Tumor cells","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000849857,0.00032625,0.0006708329,0.0001161116,0.00002071468,0.00001491667,0.0002770923,0.0004616981,0.00008504064],"category_scores_gemma":[0.000015104,0.0003189353,0.0003683935,0.0001828435,0.00007762691,0.000002463618,0.00009512035,0.0001486119,0.00004647064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380226,"about_ca_system_score_gemma":0.002851903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009647328,"about_ca_topic_score_gemma":0.0001748142,"domain_scores_codex":[0.9986411,0.000078871,0.0003252387,0.000554424,0.000101275,0.000299128],"domain_scores_gemma":[0.9993135,0.000008756032,0.0002229358,0.0003395423,0.00003721873,0.00007803067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006215931,0.00001988468,0.000177287,0.01298183,0.0004914565,0.00001357463,0.00003261058,0.0004405183,0.01434888,0.00002063621,0.02247769,0.9489335],"study_design_scores_gemma":[0.00021077,0.00002439538,0.00009944414,0.002465916,0.000189528,0.000007181844,0.000003815339,0.000005971409,0.001075133,0.000001819736,0.9955474,0.0003686993],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004853663,0.9933228,0.000003680403,0.000003181719,0.0005994136,0.0006998173,0.0001704574,0.000009728182,0.0003371841],"genre_scores_gemma":[0.0005209781,0.9976177,0.00002572528,0.00003892737,0.0004154381,0.0002477757,0.0005210689,0.00007848069,0.0005339269],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9730696,"threshold_uncertainty_score":0.9999263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397795174912957,"score_gpt":0.3160157909707099,"score_spread":0.2920378392215803,"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."}}