{"id":"W2126462557","doi":"10.1111/bij.12261","title":"Using adaptive traits to consider potential consequences of temporal variation in selection: male guppy colour through time and space","year":2014,"lang":"en","type":"article","venue":"Biological Journal of the Linnean Society","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Guppy; Variation (astronomy); Biology; Poecilia; Selection (genetic algorithm); Trait; Temporal scales; Evolutionary biology; Sexual selection; Ecology; Machine learning; Computer science; Fish <Actinopterygii>","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":[0.005489212,0.000779619,0.0008114766,0.003072698,0.0008921493,0.002211655,0.0009788591,0.0008787559,0.002227627],"category_scores_gemma":[0.009539483,0.0003645247,0.001612009,0.00355794,0.001854172,0.001776738,0.001692589,0.001389838,0.0001556521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100356,"about_ca_system_score_gemma":0.0006766852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156986,"about_ca_topic_score_gemma":0.01986675,"domain_scores_codex":[0.9976127,0.001049866,0.0001494005,0.0009163224,0.000179926,0.00009183866],"domain_scores_gemma":[0.9934424,0.003576709,0.001781387,0.0006882335,0.0002748625,0.000236426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000272119,0.0001207044,0.9205831,0.0004119202,0.003584837,0.0004879709,0.001812139,0.01517273,0.01639337,0.003401252,0.0005915461,0.03716825],"study_design_scores_gemma":[0.000008982987,0.0002111435,0.9742563,0.00003770016,0.0003425796,0.0002509503,0.0005417812,0.01891684,0.0008421379,0.003580119,0.000968169,0.00004328607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458451,0.001315494,0.04881818,0.0003734701,0.0000653984,0.0000558295,0.0007724172,0.0001297169,0.002624421],"genre_scores_gemma":[0.9862133,0.0001676754,0.01270626,0.0001081881,0.00002226631,0.0001028149,0.000287646,0.00004696292,0.0003449738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156986,"threshold_uncertainty_score":0.02903008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06588700443535604,"score_gpt":0.2732268027158674,"score_spread":0.2073397982805113,"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."}}