{"id":"W2913165221","doi":"10.1002/ece3.4906","title":"Vegetation phenology and nest survival: Diagnosing heterogeneous effects through time","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Delta Waterfowl; National Institute of Food and Agriculture; Louisiana State University; U.S. Department of Agriculture","keywords":"Nest (protein structural motif); Vegetation (pathology); Ecology; Phenology; Predation; Biology; Geography; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002532953,0.000295763,0.0003488709,0.001295048,0.0003203221,0.0006732325,0.0003403387,0.0003231249,0.000853721],"category_scores_gemma":[0.006635192,0.0002677586,0.0004641221,0.0008979012,0.0002716786,0.0006908489,0.0005206915,0.0003080067,0.0001742849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631083,"about_ca_system_score_gemma":0.000291008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00536366,"about_ca_topic_score_gemma":0.01935476,"domain_scores_codex":[0.9991748,0.0002666949,0.00008698846,0.0002814215,0.0001203345,0.00006977252],"domain_scores_gemma":[0.9931962,0.002938846,0.002614335,0.0004184623,0.000554221,0.0002778971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008045408,0.00002247683,0.9878089,0.0001022005,0.00019417,0.00002485089,0.0001816037,0.0003476142,0.001341948,0.00004167411,0.00005735839,0.009796713],"study_design_scores_gemma":[0.00000130996,0.00006087097,0.9986216,0.00001412051,0.00004727372,0.0000444384,0.00009549472,0.0006525608,0.0002035077,0.00006247074,0.00019335,0.000003002051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937344,0.002139797,0.002931252,0.00004007016,0.00001273876,0.00001681263,0.0004781258,0.0000153964,0.0006314605],"genre_scores_gemma":[0.9964566,0.0004316302,0.002386976,0.00003054501,0.00001780282,0.00002523847,0.0003843322,0.000006854049,0.0002599809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00536366,"threshold_uncertainty_score":0.01339573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005415157634013897,"score_gpt":0.2116030154983634,"score_spread":0.2061878578643495,"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."}}