{"id":"W2990420706","doi":"","title":"Convergent evolution in silico of biochemical log-response","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Logarithm; Simple (philosophy); Logarithmic scale; Computer science; Biological system; In silico; Scale (ratio); Mathematics; Biology; Physics; Genetics; Gene; Mathematical analysis","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":[0.001951063,0.0007380205,0.0008183924,0.0008342603,0.0005478246,0.001199481,0.001254892,0.001119925,0.004144002],"category_scores_gemma":[0.008262696,0.0005030773,0.001403252,0.0005361481,0.0005424623,0.0007582638,0.0006650353,0.001208479,0.0009495034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080587,"about_ca_system_score_gemma":0.0009437001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607353,"about_ca_topic_score_gemma":0.003368472,"domain_scores_codex":[0.9992664,0.0003312738,0.00002954777,0.0002357376,0.00008421008,0.00005278499],"domain_scores_gemma":[0.9957697,0.003457058,0.0001322536,0.0003010857,0.0002262462,0.0001136285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006526409,0.0002428797,0.03412038,0.0002731793,0.0003534994,0.0003358683,0.0002341585,0.9168811,0.01927824,0.005445515,0.0007763308,0.02140619],"study_design_scores_gemma":[0.00001847664,0.00004516729,0.00143042,0.000005500786,0.00003300088,0.00004632036,0.0000194728,0.9933797,0.002714562,0.002069195,0.0002298047,0.000008337963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.872625,0.0001825097,0.1186606,0.0004760307,0.00008281077,0.00007258826,0.001490013,0.003247581,0.003162781],"genre_scores_gemma":[0.9673057,0.00006592274,0.02996288,0.0001172712,0.00001727563,0.00006113369,0.001525565,0.0002844745,0.0006598328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004144002,"threshold_uncertainty_score":0.01386309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007403047151107899,"score_gpt":0.2169822484756757,"score_spread":0.2095792013245678,"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."}}