{"id":"W7113201311","doi":"","title":"Case study: Keystone XL, Nebraska State - USA","year":2015,"lang":"en","type":"dissertation","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Keystone species; Population; Overlay; Path (computing); Pipeline transport; Function (biology)","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":[0.0002385335,0.0003073592,0.0001039555,0.0008148052,0.003304153,0.0008760259,0.0008209418,0.001112798,0.008455104],"category_scores_gemma":[0.001066891,0.0001605265,0.0001579138,0.001676989,0.0006385624,0.0008993491,0.0009040952,0.0004470132,0.0005423762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00303586,"about_ca_system_score_gemma":0.002605265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2154377,"about_ca_topic_score_gemma":0.5815938,"domain_scores_codex":[0.9996874,0.00007740308,0.00001627503,0.00004750255,0.00008563795,0.00008561206],"domain_scores_gemma":[0.9996191,0.0001213576,0.00003085499,0.00002153547,0.0001345124,0.00007255528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001011601,0.004014899,0.4247242,0.001759614,0.000159584,0.09299987,0.05054982,0.04070797,0.01439913,0.03622804,0.06729923,0.2661461],"study_design_scores_gemma":[0.0002557255,0.001970998,0.1612726,0.0004687927,0.0001774915,0.01264386,0.3393731,0.05124073,0.01456059,0.005365683,0.412493,0.0001775013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554033,0.0001831842,0.002362907,0.0005962975,0.00003646846,0.0003297856,0.0008111491,0.00006660661,0.04021041],"genre_scores_gemma":[0.9702832,0.0003348219,0.006147526,0.0001279492,0.000006496289,0.0001771154,0.0006536058,0.00001338192,0.02225586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2154377,"threshold_uncertainty_score":0.4283674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07506860906563226,"score_gpt":0.4014097077556794,"score_spread":0.3263410986900471,"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."}}