{"id":"W6992014099","doi":"","title":"Isolement d'Ã®lots CpG diffÃ©rentiellement mÃ©thylÃ©s","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"CpG site; DNA; Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001158273,0.0009240281,0.000667861,0.002216226,0.004571507,0.004939878,0.001579884,0.001787898,0.4607304],"category_scores_gemma":[0.002848388,0.0007022878,0.0009878083,0.001180141,0.001009061,0.001251563,0.002466636,0.001910303,0.2290536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003955952,"about_ca_system_score_gemma":0.009744889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1699498,"about_ca_topic_score_gemma":0.2418404,"domain_scores_codex":[0.9984924,0.0001290996,0.00004516741,0.0001602931,0.0008766664,0.0002964478],"domain_scores_gemma":[0.9975955,0.0002528273,0.00007791175,0.0004199556,0.001136025,0.0005177882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007654894,0.0004668008,0.003068491,0.0003038977,0.00002211737,0.0006144024,0.001135234,0.0007278167,0.01382722,0.01940989,0.5532231,0.4064356],"study_design_scores_gemma":[0.00003553693,0.00007163591,0.004739435,0.00005904772,0.000008531735,0.0001271148,0.0003186402,0.0004987557,0.004942424,0.0004870394,0.9886918,0.00002000696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01980756,0.0005710026,0.01133297,0.001491112,0.001674155,0.0004918465,0.004190161,0.0103216,0.9501196],"genre_scores_gemma":[0.008111291,0.0001073752,0.002598318,0.0001122006,0.00003510441,0.00004334196,0.0008616582,0.0006881006,0.9874427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4607304,"threshold_uncertainty_score":0.7692026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003038385627493193,"score_gpt":0.1419634242898662,"score_spread":0.138925038662373,"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."}}