{"id":"W2734572107","doi":"10.1093/gbe/evx116","title":"Adaptive Prediction Emerges Over Short Evolutionary Time Scales","year":2017,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Biology; Organism; Yeast; Adaptive evolution; Adaptation (eye); Model organism; Adaptive response; Computational biology; Genetics; Gene; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001634827,0.0001224691,0.0001061591,0.00003673091,0.0005631784,0.00001890216,0.0001772279,0.0002496042,0.00004359515],"category_scores_gemma":[0.00005300595,0.0001119638,0.00005054091,0.00002322259,0.0003808102,0.000009276372,0.0002453056,0.00009178105,0.00004563384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000248471,"about_ca_system_score_gemma":0.00004143409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003356704,"about_ca_topic_score_gemma":0.0000232267,"domain_scores_codex":[0.9991255,0.00006217819,0.0001262865,0.000359652,0.0000716448,0.0002547082],"domain_scores_gemma":[0.9994582,0.000005678492,0.00004529857,0.0003251215,0.00008112437,0.00008460888],"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":[0.0001712378,0.00003029157,0.1530125,0.000005617601,0.00005578531,7.116612e-7,0.000008168528,0.00001919182,0.844076,0.0003131436,0.0009969318,0.001310491],"study_design_scores_gemma":[0.0002358173,0.0004854673,0.9862841,0.000004970196,0.0000126809,0.0000155384,0.00001347419,0.0008048747,0.003499521,0.001004169,0.007493968,0.0001454614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915633,0.004317439,0.001280348,0.0001455722,0.0002014332,0.0001500405,0.0001770566,0.00001440081,0.002150394],"genre_scores_gemma":[0.9967893,0.0006723966,0.0002712584,0.000021337,0.000546782,0.00002162956,0.0002989146,0.000009799816,0.001368541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8405765,"threshold_uncertainty_score":0.4565751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318280245177095,"score_gpt":0.273849852353593,"score_spread":0.260667049901822,"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."}}