{"id":"W2989662188","doi":"10.3389/fonc.2019.01305","title":"Expanding the Transcriptome of Head and Neck Squamous Cell Carcinoma Through Novel MicroRNA Discovery","year":2019,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dalhousie University; Occupational Cancer Research Centre","funders":"BC Cancer Foundation; Canadian Institutes of Health Research; Fonds de Recherche en Santé Respiratoire; Fundação de Amparo à Pesquisa do Estado de São Paulo; Fondation du Souffle","keywords":"Head and neck squamous-cell carcinoma; microRNA; Biology; Computational biology; In silico; Transcriptome; Context (archaeology); Head and neck cancer; Bioinformatics; Cancer; Gene; Gene expression; 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":[0.0004035925,0.0002802612,0.000517692,0.0003762387,0.0002661818,0.0007347272,0.0001752594,0.000252025,0.000688715],"category_scores_gemma":[0.0007869994,0.0002396553,0.0006961962,0.0004308665,0.0001512875,0.0003807609,0.0004004316,0.0003539374,0.0005199448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172238,"about_ca_system_score_gemma":0.00050669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004350177,"about_ca_topic_score_gemma":0.0008914673,"domain_scores_codex":[0.9996997,0.00003979626,0.00002719001,0.0001271564,0.00007834296,0.00002789313],"domain_scores_gemma":[0.999795,0.0000864578,0.00004184644,0.00002140685,0.00003858547,0.00001663111],"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":[0.0003769507,0.00004155442,0.0220301,0.0004650713,0.0000758569,0.0003447968,0.0002352423,0.002157146,0.9282296,0.0003689399,0.000545761,0.04512879],"study_design_scores_gemma":[0.00006502504,0.000887164,0.2729612,0.0002235044,0.0006321184,0.003213958,0.0006400343,0.08831301,0.5877163,0.002372924,0.04286011,0.0001146939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475781,0.005728262,0.03703209,0.0002651366,0.00007249827,0.00009670508,0.006664043,0.0005807176,0.001982393],"genre_scores_gemma":[0.9092882,0.003481782,0.07154734,0.0002329836,0.00003833285,0.0001237129,0.01364224,0.0001773563,0.001467948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007347272,"threshold_uncertainty_score":0.002303958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008225214279512,"score_gpt":0.2539558359170936,"score_spread":0.2438735837742985,"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."}}