{"id":"W1895673132","doi":"10.1002/hed.23969","title":"MicroRNA expression as predictor of local recurrence risk in oral squamous cell carcinoma","year":2014,"lang":"en","type":"article","venue":"Head & Neck","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"Associazione Italiana per la Ricerca sul Cancro","keywords":"microRNA; Basal cell; Carcinogenesis; Squamous cell cancer; Oncology; Cancer; Internal medicine; Head and neck cancer; Gene expression profiling; Biology; Head and neck squamous-cell carcinoma; Cancer research; Medicine; Gene; Gene expression; Genetics","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":[0.0004486914,0.000193155,0.0004237116,0.0007850676,0.0002124378,0.0004183624,0.0001791914,0.0003303577,0.0012665],"category_scores_gemma":[0.001197728,0.0001244187,0.000256978,0.0006453542,0.000180599,0.0001808973,0.0002530041,0.0003108433,0.0003089333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196845,"about_ca_system_score_gemma":0.0001747423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005091322,"about_ca_topic_score_gemma":0.000778013,"domain_scores_codex":[0.9998242,0.00003285647,0.00002530884,0.00003660831,0.00005238101,0.00002874461],"domain_scores_gemma":[0.9993636,0.0001722745,0.0002432914,0.00003132669,0.0001119136,0.0000776493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000630975,0.00004024021,0.982596,0.00005012324,0.00006880617,0.0001631873,0.00006137726,0.0001576944,0.008411299,0.00001854903,0.0001425106,0.007659211],"study_design_scores_gemma":[0.00001303555,0.0002842516,0.9929427,0.00001129919,0.0001651406,0.001021375,0.0001405922,0.0009205168,0.003923319,0.00006300299,0.000507442,0.000007360588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981744,0.001070329,0.0002010622,0.00002622832,0.00000622175,0.000008392898,0.0001675208,0.0000110527,0.0003347225],"genre_scores_gemma":[0.9991859,0.0002035914,0.0002365836,0.00001106852,0.000005722487,0.00001499594,0.0001938299,0.000003501661,0.0001448219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012665,"threshold_uncertainty_score":0.004236877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007744414325473128,"score_gpt":0.2421951745096973,"score_spread":0.2344507601842242,"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."}}