{"id":"W2122388110","doi":"10.1007/s10584-012-0548-8","title":"Tracking suitable habitat for tree populations under climate change in western North America","year":2012,"lang":"en","type":"article","venue":"Climatic Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta-Pacific Forest Industries","keywords":"Reforestation; Climate change; Elevation (ballistics); Habitat; Latitude; Taiga; Geography; Ecology; Physical geography; Environmental science; Forestry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002847687,0.0002359425,0.0002963245,0.00008020467,0.0002144003,0.00005564678,0.0002115741,0.0000917517,0.006997618],"category_scores_gemma":[0.00004530962,0.0002286847,0.0001087381,0.000473866,0.0001093878,0.0009283058,0.0001827466,0.0001148074,0.001513216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000625162,"about_ca_system_score_gemma":0.000002512486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803343,"about_ca_topic_score_gemma":0.01797884,"domain_scores_codex":[0.997998,0.00004993398,0.0003679311,0.0002949249,0.0002601952,0.001029039],"domain_scores_gemma":[0.9992215,0.00009528884,0.0001580561,0.0003073532,0.00001301842,0.0002047773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000184343,0.0003067312,0.9797273,0.0000757766,0.000004395726,0.000001163414,0.004689388,0.000005103319,0.00006273024,0.0004619768,0.0007037258,0.01394332],"study_design_scores_gemma":[0.0005573067,0.00005574,0.9860832,0.00004168948,0.00002848874,0.000004123053,0.002354607,0.000459587,0.00001315867,0.00007577664,0.0100374,0.0002888973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912463,0.000339209,0.0002788343,0.00168322,0.0004818906,0.001354526,0.000403885,0.0001026221,0.004109517],"genre_scores_gemma":[0.9952395,0.0001909734,0.0003345063,0.002223367,0.0002331987,0.00119798,0.0004563486,0.00003994578,0.00008418098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01759851,"threshold_uncertainty_score":0.9999405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1736385814375166,"score_gpt":0.3327349722778842,"score_spread":0.1590963908403676,"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."}}