{"id":"W7100877886","doi":"","title":"Precipitation and winter temperature predict long-term range-scale abundance changes in Western North American birds","year":2016,"lang":"en","type":"article","venue":"","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hindcast; Abundance (ecology); Precipitation; Climate change; Biodiversity; Limiting; Regression analysis; Breeding bird survey; Relative species abundance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006436553,0.0002395772,0.00015174,0.0004291303,0.0002953632,0.0005533893,0.0002172018,0.0002742313,0.000873783],"category_scores_gemma":[0.002479985,0.0002768594,0.0002681482,0.0004131623,0.0002689978,0.0003648467,0.0002998964,0.0003566208,0.0001906993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007520721,"about_ca_system_score_gemma":0.0006310531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2873164,"about_ca_topic_score_gemma":0.4623816,"domain_scores_codex":[0.9998548,0.00003551216,0.00001271451,0.00004325188,0.00002441893,0.00002920418],"domain_scores_gemma":[0.9986834,0.0004834743,0.0003566616,0.00007502181,0.0002291326,0.0001721968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003851757,0.00002739443,0.9938926,0.000004895222,0.00005042992,0.00001632237,0.00006452177,0.003144355,0.0003832803,0.00001447676,0.0002257002,0.002137435],"study_design_scores_gemma":[0.000002483078,0.000007343812,0.9909168,0.000002059722,0.000008632232,0.00001216594,0.00007255399,0.008832074,0.00003118232,0.00002182082,0.00009072096,0.000002170319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994937,0.00004270907,0.0001291372,0.00002742467,0.000002212317,0.000001138964,0.0001160512,0.0000101819,0.0001772543],"genre_scores_gemma":[0.9992657,0.00003661593,0.0001404907,0.000007611162,0.00000338972,0.000002130315,0.000396184,0.000003535565,0.0001443442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2873164,"threshold_uncertainty_score":0.571288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107637720990023,"score_gpt":0.2350222061572891,"score_spread":0.2242584340582868,"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."}}