{"id":"W2969508014","doi":"","title":"Creating Tallgrass Prairie Corridors for Species at Risk Using Geographic Information Systems in Norfolk County, ON","year":2018,"lang":"en","type":"dissertation","venue":"YorkSpace (York University)","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Geographic information system; Cartography","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":[0.0004492998,0.0001306044,0.000129553,0.0005672305,0.0007907874,0.0009833659,0.0002960562,0.0001389519,0.001699376],"category_scores_gemma":[0.001449037,0.0001038077,0.0002051805,0.0009291902,0.0002848021,0.0004701716,0.0004602223,0.0001683693,0.0001050145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005789019,"about_ca_system_score_gemma":0.004691144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6917871,"about_ca_topic_score_gemma":0.9338845,"domain_scores_codex":[0.9997703,0.00006839396,0.000009746979,0.00004221034,0.00005830128,0.0000510359],"domain_scores_gemma":[0.9994938,0.0001468389,0.00007531777,0.00002286794,0.0001580886,0.0001030576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000150169,0.0001438192,0.884313,0.0001476782,0.00007855271,0.0003276867,0.00422908,0.02428608,0.001887023,0.002501687,0.002921647,0.07901363],"study_design_scores_gemma":[0.00003050547,0.0001901669,0.9047761,0.0001231847,0.00006601691,0.0001080104,0.01948834,0.06376214,0.00103453,0.0007277741,0.009660861,0.00003230616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944904,0.00005403573,0.001046758,0.00008245101,0.000002697142,0.00005578106,0.0006447603,0.00001764471,0.0036054],"genre_scores_gemma":[0.9926088,0.0000925776,0.004981406,0.000007414572,8.408436e-7,0.00002313315,0.0006337854,0.000004616968,0.001647317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3082129,"threshold_uncertainty_score":0.620056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005069421719671,"score_gpt":0.1945821675872415,"score_spread":0.1845314733700448,"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."}}