{"id":"W4297828458","doi":"10.1002/ecs2.4227","title":"Negative effects of agricultural intensification on the food provisioning rate of a declining aerial insectivore","year":2022,"lang":"en","type":"article","venue":"Ecosphere","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Insectivore; Fledge; Provisioning; Ecology; Biology; Forage; Agriculture; Abundance (ecology); Geography; Habitat; Predation","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":[0.0001969978,0.0001215763,0.000136367,0.0003118668,0.0002453498,0.0003554783,0.0001309949,0.00013541,0.001295111],"category_scores_gemma":[0.0005129204,0.00006451119,0.0001240867,0.0001869187,0.000263401,0.0001593664,0.0002235555,0.0001973784,0.00009631497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000211315,"about_ca_system_score_gemma":0.00009704634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003905983,"about_ca_topic_score_gemma":0.01232736,"domain_scores_codex":[0.9999077,0.0000281975,0.000007415259,0.00002804081,0.00001082225,0.00001773066],"domain_scores_gemma":[0.999311,0.0001393882,0.0002761175,0.00004131225,0.00007227404,0.0001599101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000266709,0.00007134619,0.9729892,0.00001544367,0.00004380339,0.0001033769,0.0001572891,0.0001534445,0.023355,0.00002303342,0.00005144901,0.002769834],"study_design_scores_gemma":[5.100647e-7,0.00003954144,0.9997095,5.402458e-7,0.000002810468,0.00002166312,0.0000664489,0.00005197287,0.00007910855,0.00000351691,0.0000238002,3.861787e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998585,0.00001502889,0.00001219138,0.00000365667,3.160264e-7,3.931842e-7,0.00001882336,6.588748e-7,0.00009030666],"genre_scores_gemma":[0.9998627,0.00001050756,0.00003907162,0.00000562616,0.000001019647,9.432983e-7,0.00003385852,4.524877e-7,0.00004575696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003905983,"threshold_uncertainty_score":0.007766485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074906528874782,"score_gpt":0.2102347560613097,"score_spread":0.1994856907725619,"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."}}