{"id":"W3203355648","doi":"10.1016/j.biocon.2021.109329","title":"Climate variability has idiosyncratic impacts on North American aerial insectivorous bird population trajectories","year":2021,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Environment and Climate Change Canada; University of Saskatchewan","funders":"Environment and Climate Change Canada; University of Saskatchewan","keywords":"Insectivore; Climate change; Population; Ecology; Geography; Storm; Breeding bird survey; Annual cycle; North Atlantic oscillation; Environmental science; Habitat; Climatology; Biology; Demography","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":[0.0003711497,0.00009700526,0.0001487732,0.0003138982,0.0003781595,0.0005506591,0.0001291354,0.0002328739,0.002396803],"category_scores_gemma":[0.001354102,0.0001511203,0.0002458816,0.0004276822,0.0002755336,0.0003316417,0.0005422093,0.0002495559,0.0001959262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003534091,"about_ca_system_score_gemma":0.0002180297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01601044,"about_ca_topic_score_gemma":0.07900015,"domain_scores_codex":[0.9998164,0.00006350063,0.000009926331,0.00005635256,0.00001815446,0.00003577324],"domain_scores_gemma":[0.9992728,0.0001938861,0.0002139719,0.0001070869,0.00009485785,0.0001175463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000958454,0.0000237669,0.9915938,0.000007562205,0.0001402077,0.00004743302,0.0002741949,0.001063021,0.002330842,0.0001349649,0.0002463316,0.00404203],"study_design_scores_gemma":[5.905184e-7,0.000004874068,0.9994596,9.569906e-7,0.000006373386,0.00001094342,0.0001022164,0.0002495466,0.0000273107,0.00003442726,0.0001016397,0.000001486459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990349,0.00004814816,0.00008960824,0.00003781284,0.000002938642,0.000001015207,0.0001172073,0.000002927075,0.0006654187],"genre_scores_gemma":[0.9996309,0.00003555402,0.00003327055,0.00001370373,0.000002054592,0.000001406366,0.0001226795,0.000003657902,0.000156722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01601044,"threshold_uncertainty_score":0.03183448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06199409021846784,"score_gpt":0.2625905083181821,"score_spread":0.2005964180997142,"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."}}