{"id":"W2138611799","doi":"10.1098/rspb.2013.3239","title":"Using phylogenetic information and chemical properties to predict species tolerances to pesticides","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Université de Montréal","funders":"","keywords":"Pesticide; Phylogenetic tree; Multivariate statistics; Biology; Environmental chemistry; Ecology; Chemistry; Statistics; Mathematics; Genetics","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":[0.001910776,0.000617591,0.0004824651,0.001747353,0.0002736721,0.0006085838,0.000355387,0.0006021108,0.0006351256],"category_scores_gemma":[0.004268032,0.0003644811,0.0007581963,0.001055378,0.0003769396,0.0008486381,0.0006933946,0.000570185,0.0002357435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005442358,"about_ca_system_score_gemma":0.0003729926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434784,"about_ca_topic_score_gemma":0.002992527,"domain_scores_codex":[0.9993869,0.0003406878,0.00003421124,0.0001426822,0.00005383113,0.00004165988],"domain_scores_gemma":[0.9958926,0.002719176,0.0006910748,0.0002801722,0.0002373652,0.0001796344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005183578,0.0002729043,0.3113492,0.000161019,0.0004788555,0.0001313364,0.0002868382,0.5576355,0.06503045,0.001407128,0.0002275138,0.06250089],"study_design_scores_gemma":[0.00001021526,0.0003904377,0.07784791,0.00001400924,0.00008176393,0.00008841994,0.00008018958,0.913648,0.004040791,0.003255022,0.0005053476,0.00003794164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069054,0.0002552197,0.09167839,0.00007858383,0.000004416374,0.00001498752,0.0003295484,0.0001169031,0.0006166003],"genre_scores_gemma":[0.9834161,0.00008534691,0.01581383,0.0000171363,0.000003841968,0.00001578633,0.0004768925,0.00001600115,0.0001550609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002434784,"threshold_uncertainty_score":0.01010525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804804393822223,"score_gpt":0.2362593940584828,"score_spread":0.1982113501202606,"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."}}