{"id":"W2795938519","doi":"10.1016/j.tree.2018.02.007","title":"The Missing Response to Selection in the Wild","year":2018,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":182,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"European Research Council; Agence Nationale de la Recherche","keywords":"Selection (genetic algorithm); Biology; Computer science; Evolutionary biology; Computational biology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.000734581,0.00005357177,0.00006071977,0.00002323466,0.0004463734,0.0000183842,0.0001293229,0.00005154217,0.00003167988],"category_scores_gemma":[0.0001186486,0.00001553536,0.0000190031,0.0005969902,0.00007962948,0.00003590754,0.0000275601,0.00008461345,0.00003255596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007460375,"about_ca_system_score_gemma":0.000003573509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002257063,"about_ca_topic_score_gemma":0.1582216,"domain_scores_codex":[0.9992474,0.0002554966,0.0001032536,0.0001223171,0.00005905401,0.000212421],"domain_scores_gemma":[0.9995434,0.0003895678,0.00002607121,0.00001176103,0.00001621045,0.00001304937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001038417,0.00008802148,0.7553137,3.769727e-7,0.000005354623,0.000002880934,0.0006891178,0.00000696164,0.1035692,0.0004978123,0.009681193,0.1291069],"study_design_scores_gemma":[0.00005630265,0.0003915743,0.9804001,0.000003335359,0.000001722831,0.000006083782,0.0002916517,0.0001281686,0.00004960658,0.0004628364,0.01816799,0.00004060837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821047,0.00005460285,9.454546e-7,0.01673821,0.00006310699,0.00004926089,0.000001785014,0.00001486152,0.0009724976],"genre_scores_gemma":[0.999177,0.000007975542,0.00001111491,0.0002527876,0.0001736007,0.00001560144,0.000001431144,2.295785e-7,0.0003602461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2250864,"threshold_uncertainty_score":0.8571386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368772944898857,"score_gpt":0.2610544693067364,"score_spread":0.2241771748168507,"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."}}