{"id":"W93146098","doi":"","title":"Use of oligonucleotid physicochemical properties as biomarkers","year":2009,"lang":"es","type":"article","venue":"Boletín de la Sociedad Geológica Mexicana","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Risk analysis (engineering); Computational biology; Biology; Medicine","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":[0.0007034014,0.000739618,0.0003643262,0.001264851,0.0002869123,0.0007766552,0.0003205937,0.000885202,0.0006901901],"category_scores_gemma":[0.001445679,0.0002559022,0.0002771314,0.0006698403,0.0004128849,0.000507768,0.0004176851,0.000615973,0.0007059066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002317905,"about_ca_system_score_gemma":0.0002539735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002316268,"about_ca_topic_score_gemma":0.0003782622,"domain_scores_codex":[0.9994148,0.0001845839,0.00004013957,0.0001785143,0.0001296089,0.0000523645],"domain_scores_gemma":[0.9990413,0.000307236,0.0002293905,0.00006720267,0.0002613149,0.00009366041],"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":[0.0002739744,0.00006284571,0.004564965,0.0001366042,0.00003099932,0.00004477076,0.00004646853,0.000135854,0.9823064,0.0002339163,0.00005540379,0.01210771],"study_design_scores_gemma":[0.00001749681,0.0005292511,0.007623382,0.00001590748,0.00008211778,0.0003400355,0.00006949095,0.001580583,0.9868355,0.0002615129,0.002624016,0.00002069261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8268916,0.01629423,0.1461437,0.0004190404,0.0003505293,0.0002493414,0.00179828,0.0003573116,0.007495958],"genre_scores_gemma":[0.9293203,0.004079707,0.06022977,0.0003073082,0.00007994221,0.000226608,0.001340242,0.00002927129,0.004386839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001264851,"threshold_uncertainty_score":0.003719926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111546438870128,"score_gpt":0.2464243966115984,"score_spread":0.2352697527245856,"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."}}