{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002624653,0.0005138314,0.0005498533,0.0000444689,0.0001477505,0.000128315,0.0005736262,0.0008136634,0.0001004548],"category_scores_gemma":[0.0002831649,0.0004979328,0.0005427357,0.0002243347,0.001038888,0.00001885962,0.0002010185,0.0003460749,0.00002586687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006650843,"about_ca_system_score_gemma":0.0003838244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001750344,"about_ca_topic_score_gemma":0.0000010369,"domain_scores_codex":[0.9974615,0.000174861,0.0005162872,0.0007279736,0.0003759088,0.0007434916],"domain_scores_gemma":[0.9983054,0.00005571985,0.0003015682,0.0008243095,0.0001564043,0.000356642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003407278,0.0004880631,0.001272317,0.0001410071,0.0003974333,0.00001933231,0.0001616196,0.00001297419,0.9730468,0.0007770862,0.01593088,0.007411695],"study_design_scores_gemma":[0.0007239447,0.0003710351,0.004498806,0.0001942215,0.0001852373,0.00004098018,0.0002429652,0.000115715,0.9073577,0.0003447978,0.08531953,0.0006050779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756293,0.002803126,0.00002511097,0.001386198,0.00006365671,0.0002083829,0.00006778636,0.0000435149,0.01977289],"genre_scores_gemma":[0.9937783,0.001959459,0.0008545405,0.001387886,0.0003989117,0.00001134503,0.00008628795,0.00005734135,0.001465961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06938864,"threshold_uncertainty_score":0.9997472,"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."}}