{"id":"W4401668133","doi":"10.1111/geb.13899","title":"Predation on Live and Artificial Insect Prey Shows Different Global Latitudinal Patterns","year":2024,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ministry of Science and Higher Education of the Russian Federation; Natural Sciences and Engineering Research Council of Canada; Ministério da Ciência, Tecnologia e Ensino Superior; Mitacs; Chinese Academy of Sciences; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Grantová Agentura České Republiky; National Natural Science Foundation of China; Biotieteiden ja Ympäristön Tutkimuksen Toimikunta; Fundação para a Ciência e a Tecnologia; McGill University","keywords":"Plasticine; Predation; Ecology; Biology; Predator; Boreal; Insect","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001518334,0.000141692,0.0001223978,0.0005973149,0.0001124421,0.0002698761,0.00008617419,0.0001177902,0.001252924],"category_scores_gemma":[0.0003344093,0.0001297159,0.000224672,0.000374376,0.0001591066,0.0001113385,0.0001997904,0.0001137304,0.0001863206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055048,"about_ca_system_score_gemma":0.00004315645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002321795,"about_ca_topic_score_gemma":0.004750188,"domain_scores_codex":[0.9999067,0.00001909043,0.000007855241,0.00003221653,0.00001734347,0.00001679644],"domain_scores_gemma":[0.9994992,0.00009207834,0.0002391172,0.00005632695,0.00006822188,0.00004495138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001905322,0.00002590159,0.9531306,0.00003805672,0.0001706041,0.0000465366,0.0002538677,0.0003238326,0.03928768,0.00005836179,0.0001198025,0.006354243],"study_design_scores_gemma":[6.750672e-7,0.0000178756,0.9994438,0.00000131812,0.000006726768,0.00003337076,0.00003900932,0.0001048993,0.0002965733,0.000006040542,0.00004878076,0.000001079116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992267,0.0000987103,0.0000980024,0.000005371156,6.639464e-7,0.000001112158,0.0001141504,0.000005045864,0.00045022],"genre_scores_gemma":[0.9994214,0.00006630574,0.00007029472,0.000005937652,0.000001220183,0.000003446285,0.0002283234,0.000002853988,0.0002004461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002321795,"threshold_uncertainty_score":0.004616559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008422647508308668,"score_gpt":0.2199896600922608,"score_spread":0.2115670125839521,"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."}}