{"id":"W4312930243","doi":"10.56588/iabcd.v1i1.26","title":"COMPUTATIONAL META-ANALYSIS OF CERVICAL CANCER USING AVAILABLE 16S RRNA NGS DATA","year":2022,"lang":"en","type":"article","venue":"International Association of Biologicals and Computational Digest","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Metagenomics; Biology; Microbiome; Cervical cancer; 16S ribosomal RNA; Computational biology; Gene; Cancer; Ribosomal RNA; Human Microbiome Project; 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":[0.004013374,0.001656091,0.002547647,0.003166995,0.001026098,0.001948528,0.0019292,0.001445006,0.005227892],"category_scores_gemma":[0.01137482,0.000802589,0.00953656,0.002302658,0.000371344,0.0007133989,0.001335195,0.002127209,0.0006489766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005537,"about_ca_system_score_gemma":0.002946563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719199,"about_ca_topic_score_gemma":0.01817157,"domain_scores_codex":[0.9983886,0.0007235413,0.0001250169,0.0005100218,0.0001329788,0.0001198472],"domain_scores_gemma":[0.9953069,0.003921236,0.0001465459,0.0003109484,0.0001854201,0.0001289298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00756445,0.0006504243,0.2109856,0.01229178,0.09234541,0.002308021,0.0005033654,0.5325851,0.01159225,0.005923627,0.02768704,0.09556293],"study_design_scores_gemma":[0.0006928088,0.001071107,0.06043054,0.0007068705,0.02977652,0.001027959,0.0006410346,0.8529082,0.004279999,0.01907199,0.02914745,0.0002454707],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5990207,0.05120589,0.1592375,0.007175658,0.001805427,0.0007703296,0.1689499,0.00789953,0.003935132],"genre_scores_gemma":[0.8408647,0.004307791,0.0738647,0.0008748082,0.0002286805,0.0008592938,0.07606693,0.0006572782,0.002275945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719199,"threshold_uncertainty_score":0.03418386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2168037562029694,"score_gpt":0.4144189727465549,"score_spread":0.1976152165435855,"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."}}