{"id":"W4223464883","doi":"10.1088/1755-1315/1011/1/012054","title":"The Effects of Climate Change on Birds and Approaches to Response","year":2022,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Climate change; Government (linguistics); Greenhouse gas; Population; Global warming; Effects of global warming; Environmental resource management; Environmental change; Political economy of climate change; Ecology; Natural resource economics; Geography; Environmental science; Economics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001978826,0.0002171138,0.0001334607,0.0009249868,0.00099888,0.002237144,0.0005376099,0.0007848802,0.005662882],"category_scores_gemma":[0.003166507,0.0001168242,0.0002664055,0.0007744409,0.001885122,0.001179705,0.001110946,0.0008384156,0.0003733465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898698,"about_ca_system_score_gemma":0.001218684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007168739,"about_ca_topic_score_gemma":0.01195817,"domain_scores_codex":[0.9984389,0.0009642805,0.00004436659,0.0002077903,0.0001665983,0.0001780436],"domain_scores_gemma":[0.9978198,0.001004523,0.0003103393,0.0001087509,0.0004287562,0.0003278271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003156639,0.000339008,0.2779302,0.002868626,0.0004233891,0.001127952,0.04358372,0.009899085,0.007067086,0.1289516,0.01788954,0.5096041],"study_design_scores_gemma":[0.00002347035,0.0005191009,0.41787,0.001956868,0.0001520494,0.00107071,0.1346451,0.006014562,0.001965018,0.08876293,0.346864,0.0001561753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5052859,0.0552152,0.03664267,0.06169385,0.001702052,0.000294037,0.0005281231,0.0001562909,0.3384818],"genre_scores_gemma":[0.9824325,0.007036162,0.003754293,0.00136267,0.0001475152,0.00005586222,0.00005774771,0.0000146421,0.005138557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007168739,"threshold_uncertainty_score":0.01894426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04403637571838999,"score_gpt":0.2155080800960645,"score_spread":0.1714717043776746,"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."}}