{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004853418,0.0003339795,0.001210674,0.0005424881,0.0008392447,0.001522977,0.001481132,0.001579769,0.008979579],"category_scores_gemma":[0.01146646,0.000421127,0.0003310093,0.0004797105,0.00361843,0.00196699,0.001228259,0.002494278,0.0008056194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006086653,"about_ca_system_score_gemma":0.0004342305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046838,"about_ca_topic_score_gemma":0.002441004,"domain_scores_codex":[0.9975613,0.0009613894,0.0001167905,0.0007822383,0.0002888141,0.0002894503],"domain_scores_gemma":[0.9904758,0.003270246,0.0006307535,0.003243922,0.001106228,0.001273037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002184765,0.0007975215,0.2955854,0.001325437,0.001873557,0.00186721,0.005158315,0.01004251,0.29702,0.07869198,0.02226251,0.2831907],"study_design_scores_gemma":[0.0002080022,0.001256801,0.7465706,0.0003611665,0.0005811633,0.002812946,0.01004005,0.01619293,0.0124457,0.1717779,0.03733935,0.0004133172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9770004,0.001173327,0.006540726,0.006943526,0.0003935513,0.00001022623,0.000537782,0.0001556517,0.00724489],"genre_scores_gemma":[0.9945408,0.000220558,0.001111375,0.002412914,0.0001117476,0.00001044362,0.0001683758,0.0001137498,0.001310093],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008979579,"threshold_uncertainty_score":0.03003973,"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."}}