{"id":"W1993110965","doi":"10.1371/journal.pbio.1000250","title":"The Properties of Adaptive Walks in Evolving Populations of Fungus","year":2009,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ontario Genomics","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Fitness landscape; Adaptation (eye); Selection (genetic algorithm); Replicate; Population; Evolutionary biology; Mutation; Genetic Fitness; Adaptive evolution; Genetics; Gene; Statistics; Computer science; Machine learning; Demography; Mathematics","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":[0.0000819742,0.00005612016,0.00009557144,0.00002747108,0.0000299898,0.000001483112,0.000111302,0.00008649835,0.000003120663],"category_scores_gemma":[0.0001177431,0.00003862374,0.00003501957,0.00005892452,0.0001126417,9.672614e-7,0.00003181976,0.00004188858,7.970737e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006129491,"about_ca_system_score_gemma":0.00003372911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002623953,"about_ca_topic_score_gemma":0.0002432803,"domain_scores_codex":[0.9994938,0.00005915984,0.0001922635,0.0001090774,0.00003253205,0.0001131522],"domain_scores_gemma":[0.9996616,0.000007284151,0.00007391754,0.0001624417,0.0000802369,0.00001454361],"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":[0.00006079191,0.00006961798,0.01136785,0.000004091324,0.00001629086,9.133954e-8,0.0000637186,0.0001612919,0.9831464,0.00354511,0.00005543319,0.001509368],"study_design_scores_gemma":[0.001325142,0.0028257,0.3999963,0.00009860282,0.00004868777,0.000009923174,0.0007667876,0.01980031,0.5636296,0.009515582,0.001554512,0.0004288636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950816,0.003164504,0.0004118506,0.0002201631,0.00004525867,0.000110638,0.000008050011,0.000003067797,0.0009548604],"genre_scores_gemma":[0.9991398,0.0001443219,0.0005002056,0.00004565438,0.0000233788,0.000004419381,0.00001659597,0.000003165831,0.0001224792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4195167,"threshold_uncertainty_score":0.157503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882006228786357,"score_gpt":0.256578191875888,"score_spread":0.2277581295880245,"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."}}