{"id":"W1537397732","doi":"10.5376/cmb.2013.03.0002","title":"Identification of the &lt;i&gt;Bona fide&lt;/i&gt; Differentially Methylated Gene Markers among Cancers","year":2013,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Gene; Genetics; Biology; Molecular biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002081415,0.0002691064,0.0004707849,0.001098198,0.0003142099,0.000417811,0.0002842997,0.0001914439,0.001110771],"category_scores_gemma":[0.0006116498,0.0001623432,0.0004150916,0.00115609,0.0002292276,0.0002225922,0.0003338022,0.0002386912,0.0002516878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355246,"about_ca_system_score_gemma":0.0003596101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002067347,"about_ca_topic_score_gemma":0.003283712,"domain_scores_codex":[0.9998211,0.00002009772,0.00001099699,0.00007756559,0.00003814832,0.00003212487],"domain_scores_gemma":[0.9997874,0.00005681782,0.00006833253,0.00002121597,0.00003287262,0.00003338638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001051088,0.00008154537,0.2112695,0.00051917,0.000267154,0.0006209999,0.0002465926,0.01153453,0.6389697,0.002532171,0.00176724,0.1311404],"study_design_scores_gemma":[0.00008607558,0.0003376621,0.4895813,0.00005896405,0.000674038,0.002452852,0.0004392099,0.175403,0.3043769,0.005976163,0.02052773,0.00008598107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607108,0.001037169,0.03197114,0.0001121654,0.00001668882,0.00003985829,0.003633022,0.00038013,0.002098864],"genre_scores_gemma":[0.9708245,0.0003276117,0.02225901,0.00003881847,0.000008353714,0.00003894752,0.005581779,0.00006431749,0.0008568128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002067347,"threshold_uncertainty_score":0.004110575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005696133340438093,"score_gpt":0.240251173054191,"score_spread":0.2345550397137529,"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."}}