{"id":"W2338857253","doi":"","title":"Epistasis and the evolutionary process","year":2006,"lang":"en","type":"dissertation","venue":"ERA","topic":"Evolution and Science Education","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Epistasis; Process (computing); Evolutionary biology; Biology; Computational biology; Computer science; Data science; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001291694,0.00009019367,0.0000961432,0.00005601235,0.0005743332,0.000148189,0.00009716034,0.00004215961,0.0009669409],"category_scores_gemma":[0.00003101078,0.00005752802,0.00003849662,0.0000294006,0.0002497954,0.0001206265,0.000003549942,0.0001377313,0.0000597566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002187684,"about_ca_system_score_gemma":0.0001109474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004410275,"about_ca_topic_score_gemma":0.002440137,"domain_scores_codex":[0.9994302,0.00002958465,0.0001320968,0.0001416377,0.0001693793,0.00009715046],"domain_scores_gemma":[0.9996344,0.00004094142,0.00008960198,0.00009045838,0.0001250706,0.000019458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004260625,0.0000392464,0.00007669932,0.0000808144,0.00001150612,3.369842e-7,0.07126625,0.000002775591,0.000001575539,0.7578462,0.1681205,0.002511488],"study_design_scores_gemma":[0.0006986677,0.00002756013,0.02681174,0.0001191429,0.00008737505,0.00000377665,0.06144402,0.0003885405,0.00001712764,0.08506691,0.8249161,0.0004190793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1936247,0.003142928,0.000002560356,0.003030791,0.003234403,0.0003278011,0.00002795954,0.00006533995,0.7965435],"genre_scores_gemma":[0.6829059,0.00003271582,0.00001238438,0.0001661158,0.0008606495,0.00006201365,0.0004410417,0.000008860426,0.3155103],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6727793,"threshold_uncertainty_score":0.9999463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475527619119344,"score_gpt":0.2567518166711851,"score_spread":0.2419965404799917,"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."}}