{"id":"W2979081795","doi":"","title":"POTENTIAL INFLUENCE OF CLIMATE CHANGE ON ECOSYSTEMS WITHIN THE BOREAL PLAINS OF NORTHERN ALBERTA","year":2014,"lang":"en","type":"article","venue":"2014 GSA Annual Meeting in Vancouver, British Columbia (19–22 October 2014)","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Boreal; Climate change; Ecosystem; Geography; Boreal ecosystem; Physical geography; Environmental science; Climatology; Oceanography; Ecology; Geology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002499451,0.000229093,0.0005266544,0.00005247195,0.0004039182,0.00008054375,0.00100607,0.000199718,0.0003642475],"category_scores_gemma":[0.0007707778,0.0002719742,0.000115036,0.0003103685,0.0007035233,0.0004730253,0.0004139412,0.000373404,0.0001897537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600384,"about_ca_system_score_gemma":0.00005171437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5302842,"about_ca_topic_score_gemma":0.9772048,"domain_scores_codex":[0.9964818,0.0004953141,0.0008464365,0.0007102765,0.0007261441,0.00073998],"domain_scores_gemma":[0.9978501,0.0005888428,0.0007203747,0.0005593165,0.00006782242,0.0002135864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005330661,0.0002221481,0.9385588,0.00006493816,0.0000138087,0.00003717733,0.001063117,0.009458866,0.0001851728,0.00003380409,0.04832657,0.001982257],"study_design_scores_gemma":[0.001002439,0.0004020922,0.985531,0.0004000549,0.00003102294,0.00009005704,0.0004649491,0.005126897,0.00005301327,0.0005109099,0.005906923,0.0004806255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789442,0.00003785864,0.000005888779,0.00007618008,0.001072903,0.000549557,0.0002515933,0.00003355659,0.0190282],"genre_scores_gemma":[0.9983563,0.000111525,0.00009941527,0.0004938265,0.0001091333,0.00007145484,0.00001527004,0.00002762775,0.000715391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4469206,"threshold_uncertainty_score":0.9999732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003709351741954158,"score_gpt":0.1909657532523408,"score_spread":0.1872564015103866,"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."}}