{"id":"W2144184261","doi":"10.1530/erc-12-0003","title":"Epigenetic modification and cancer: mark or stamp?","year":2012,"lang":"en","type":"letter","venue":"Endocrine Related Cancer","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Epigenetics; Cancer; Biology; Genetics; Computational biology; Gene","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":[0.00526206,0.001083696,0.00183648,0.0006991553,0.002436046,0.002686145,0.002616677,0.02798964,0.004346346],"category_scores_gemma":[0.01704072,0.0005415347,0.0009935379,0.0006847986,0.0106694,0.007994753,0.002632383,0.03484421,0.003835887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003710146,"about_ca_system_score_gemma":0.002129851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869645,"about_ca_topic_score_gemma":0.002965614,"domain_scores_codex":[0.9967823,0.001079569,0.0003263367,0.0005785133,0.0009755073,0.000257702],"domain_scores_gemma":[0.9913566,0.005555254,0.0006483929,0.0005231293,0.001120586,0.0007959671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001629101,0.00005234642,0.0005443798,0.0004196763,0.00004983392,0.002471921,0.00042484,0.0001206323,0.00111285,0.02039487,0.9214286,0.05281718],"study_design_scores_gemma":[0.00009406036,0.0001381056,0.000913407,0.0004281816,0.00003377674,0.004112343,0.0006099818,0.0002869468,0.0005351913,0.06621002,0.9265617,0.00007624638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001643456,0.01427097,0.0001967568,0.9626976,0.02194701,0.000002672276,0.00001366211,0.00001887558,0.0006881529],"genre_scores_gemma":[0.00460987,0.01602536,0.0004011596,0.858502,0.1167271,0.0000184818,0.0000176552,0.00001730012,0.003680974],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02798964,"threshold_uncertainty_score":0.02782875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370200030741237,"score_gpt":0.308320928211024,"score_spread":0.2846189279036117,"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."}}