{"id":"W2164151407","doi":"10.1098/rspb.2014.1820","title":"Experimental evolution of parasite resistance in wild guppies: natural and multifarious selection","year":2014,"lang":"en","type":"letter","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Google (Canada); McGill University","funders":"","keywords":"Natural selection; Selection (genetic algorithm); Parasite hosting; Biology; Resistance (ecology); Natural (archaeology); Zoology; Evolutionary biology; Computer science; Ecology; Artificial intelligence; Paleontology; World Wide Web","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":[0.003885431,0.0002043749,0.0003447722,0.0001733794,0.0009498097,0.0005988485,0.0008131911,0.006842981,0.001057467],"category_scores_gemma":[0.01060919,0.0001872206,0.0002497754,0.0002045336,0.002244855,0.0004505157,0.0007075985,0.004433546,0.0003324854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311757,"about_ca_system_score_gemma":0.0003718061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002762368,"about_ca_topic_score_gemma":0.005663962,"domain_scores_codex":[0.9987029,0.0006879384,0.00008208415,0.0001784832,0.0002369227,0.0001117231],"domain_scores_gemma":[0.9893659,0.008001209,0.0006083911,0.000804468,0.0007186119,0.0005014974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01365123,0.001272056,0.1122089,0.0005006641,0.0009075656,0.02443186,0.003078393,0.001948522,0.07698602,0.02239318,0.4705739,0.2720477],"study_design_scores_gemma":[0.003138559,0.003202209,0.2547093,0.0004464131,0.0008280425,0.02813836,0.002946742,0.01094856,0.06806713,0.07268136,0.5543357,0.0005577248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.343641,0.004496617,0.003058225,0.6312267,0.008326957,0.00005322725,0.0002768332,0.00009806482,0.008822254],"genre_scores_gemma":[0.6801651,0.003089926,0.003209815,0.2851028,0.01266615,0.0001375041,0.0001379335,0.00004907232,0.01544174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006842981,"threshold_uncertainty_score":0.0205484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482827556162439,"score_gpt":0.2814215234882456,"score_spread":0.2665932479266212,"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."}}