{"id":"W2933070917","doi":"10.1186/s40462-019-0150-z","title":"A spatial network analysis of resource partitioning between bumblebees foraging on artificial flowers in a flight cage","year":2019,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences; Centre National de la Recherche Scientifique; Université de Toulouse; Agence Nationale de la Recherche; Biotechnology and Biological Sciences Research Council; W. Garfield Weston Foundation; Wellcome Trust","keywords":"Foraging; Bombus terrestris; Bumblebee; Animal ecology; Biology; Ecology; Competition (biology); Pollinator; Pollen; Pollination","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":[0.0002674721,0.000174584,0.0002016957,0.001823897,0.0002920005,0.0003717799,0.0002484051,0.0002038689,0.000748484],"category_scores_gemma":[0.001085383,0.0001151154,0.0003064893,0.001177514,0.0002564728,0.0003485552,0.0003457328,0.0001249642,0.00008616063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680703,"about_ca_system_score_gemma":0.0001485994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008818504,"about_ca_topic_score_gemma":0.0108884,"domain_scores_codex":[0.9998142,0.00005233755,0.00001155483,0.00007057713,0.00002351872,0.00002780098],"domain_scores_gemma":[0.9993421,0.0003019142,0.0001859961,0.00004898502,0.00006088736,0.00006015935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061626,0.0002325991,0.7342933,0.0004139473,0.0006896859,0.000788236,0.001239826,0.08743902,0.08007284,0.003951588,0.001204167,0.08861315],"study_design_scores_gemma":[0.00001055711,0.0001261113,0.7594437,0.00001895815,0.00007713662,0.0003093606,0.0005044796,0.2351494,0.002132216,0.001203908,0.001003748,0.00002039252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937028,0.0001086744,0.005429449,0.00001741658,0.00000175916,0.00001127336,0.0003506609,0.00002618211,0.0003518408],"genre_scores_gemma":[0.9941309,0.00006382905,0.004705696,0.000003221917,0.000002860008,0.00002502074,0.0008337467,0.000005802892,0.0002288247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008818504,"threshold_uncertainty_score":0.01753438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499780534106066,"score_gpt":0.2126248031508532,"score_spread":0.1876269978097925,"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."}}