{"id":"W2090029386","doi":"10.1007/s00267-012-9815-8","title":"Using a Down-Scaled Bioclimate Envelope Model to Determine Long-Term Temporal Connectivity of Garry oak (Quercus garryana) Habitat in Western North America: Implications for Protected Area Planning","year":2012,"lang":"en","type":"article","venue":"Environmental Management","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Simon Fraser University; Parks Canada","funders":"","keywords":"Term (time); Habitat; Forest management; Geography; Ecology; Forestry; Silviculture; Fagaceae; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001685631,0.0002716005,0.0002894788,0.00008792988,0.0001441803,0.00002321537,0.0002556644,0.00005483045,0.000796333],"category_scores_gemma":[0.000008398929,0.0002786586,0.00008792686,0.0002505163,0.0001629795,0.0002732643,0.0005167291,0.00008411511,0.0001126855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206761,"about_ca_system_score_gemma":0.000003197355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005170954,"about_ca_topic_score_gemma":0.0003387159,"domain_scores_codex":[0.9982704,0.00004257109,0.0003976163,0.0004473756,0.0002432727,0.0005987855],"domain_scores_gemma":[0.9992009,0.0000278888,0.0001941715,0.000372772,0.000002755685,0.0002014997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007315637,0.0004987897,0.9760922,0.00004704882,0.00002370647,0.000003576866,0.0003249829,0.002988048,0.01818766,0.00001300066,0.00009231699,0.001655518],"study_design_scores_gemma":[0.000696419,0.00007946524,0.9956127,0.00003272981,0.00004024646,0.000004283108,0.000396731,0.001545394,0.0009443244,0.0000122902,0.0003161565,0.0003192879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785622,0.00002784328,0.01813331,0.0001791608,0.00004633468,0.001932783,0.0004907451,0.00003677696,0.0005908923],"genre_scores_gemma":[0.9958746,0.00002069433,0.002873709,0.0002357432,0.00001357916,0.0005576522,0.0003071576,0.00003009724,0.00008673254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01952048,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07559050126538643,"score_gpt":0.2899377533715392,"score_spread":0.2143472521061527,"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."}}