{"id":"W7097321709","doi":"","title":"USING A WEB-BASED GIS FOR ENVIRONMENTAL MANAGEMENT OF A CRUCIAL WINTER TRANSPORTATION ROUTE IN NORTHERN CANADA","year":2010,"lang":"en","type":"article","venue":"","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Bay; Wildlife; Joint venture; Habitat; Environmental monitoring; Wetland","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":[0.00038896,0.0004629249,0.0003186605,0.002800815,0.001855652,0.002155482,0.0008523558,0.0002232684,0.004146315],"category_scores_gemma":[0.001232363,0.0002649379,0.0004488775,0.005983701,0.0002708071,0.0006088428,0.0007988715,0.0002424565,0.0005690961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01813173,"about_ca_system_score_gemma":0.03120679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944901,"about_ca_topic_score_gemma":0.9964151,"domain_scores_codex":[0.9996417,0.00003429249,0.00002110798,0.00006606003,0.0001573108,0.0000795506],"domain_scores_gemma":[0.9993792,0.00006099755,0.0000314426,0.00002637817,0.0004108825,0.00009112162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004284314,0.0004882986,0.3401427,0.0006192182,0.000304292,0.001008426,0.006941847,0.07348631,0.00742623,0.006630735,0.07778377,0.4847397],"study_design_scores_gemma":[0.0001164883,0.0001074492,0.5533108,0.0004025864,0.0002204799,0.0001479003,0.01983469,0.2796678,0.003132404,0.001636842,0.1412154,0.0002070988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7832489,0.001344292,0.02784731,0.001322568,0.00006358374,0.001543427,0.0833181,0.005348097,0.09596387],"genre_scores_gemma":[0.819722,0.001260433,0.1182052,0.0000931272,0.000009839697,0.0005978463,0.03459871,0.0002887904,0.02522405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01813173,"threshold_uncertainty_score":0.1315556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009359962936337715,"score_gpt":0.214906074288798,"score_spread":0.2055461113524603,"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."}}