{"id":"W7099445669","doi":"","title":"Highway Effects on Wildlife in Banff National Park: A Research, Monitoring and Adaptive Mitigation Program","year":2014,"lang":"en","type":"article","venue":"","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; National park; Habitat; Wildlife refuge; Wildlife corridor; Habitat fragmentation; Habitat destruction","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":[0.001193277,0.0002814659,0.000192712,0.001529106,0.001442393,0.0004839251,0.001212159,0.0004287212,0.002057372],"category_scores_gemma":[0.00108151,0.000255701,0.0002348013,0.001162854,0.0003042331,0.0005938446,0.0009033547,0.0004759512,0.0002932341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002961685,"about_ca_system_score_gemma":0.005694502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4545029,"about_ca_topic_score_gemma":0.7112562,"domain_scores_codex":[0.9994382,0.0001711983,0.00002530288,0.00005199485,0.0002016525,0.0001115446],"domain_scores_gemma":[0.9982986,0.0001307048,0.0002460747,0.00005906797,0.0008104734,0.0004551602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005227581,0.003421493,0.858883,0.0003105272,0.00009952066,0.0003886989,0.001729276,0.0004691593,0.002611641,0.000153227,0.01565761,0.1157531],"study_design_scores_gemma":[0.00003632173,0.0006543881,0.9936078,0.00004339471,0.00003359797,0.00007635696,0.001675365,0.0004032122,0.000377481,0.00002448296,0.003057579,0.00001006367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835136,0.0005879925,0.0004477124,0.0009647403,0.00004982834,0.001769019,0.005154734,0.0000760769,0.00743614],"genre_scores_gemma":[0.9620917,0.001827012,0.007892172,0.0006145981,0.00007832572,0.00203451,0.01227762,0.00001490787,0.01316905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5454971,"threshold_uncertainty_score":0.9037149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368454532666596,"score_gpt":0.3818284761471251,"score_spread":0.3381439308204591,"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."}}