{"id":"W7095240942","doi":"","title":"The Feasibility of Replacing Precise Levelling with GPS for Permafrost Deformation Monitoring","year":2015,"lang":"en","type":"article","venue":"","topic":"Thyroid Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Levelling; Permafrost; Global Positioning System; Arctic; Latitude; Differential GPS; Deformation monitoring; Real Time Kinematic","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":[0.0009499019,0.0002478288,0.00019625,0.0003209267,0.0005471934,0.0005108426,0.000572276,0.0003613588,0.0009751437],"category_scores_gemma":[0.001676634,0.0001349181,0.0001207517,0.0005604354,0.0004222228,0.0005447255,0.0003140123,0.0002498988,0.0002497649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071873,"about_ca_system_score_gemma":0.00190992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09654596,"about_ca_topic_score_gemma":0.209934,"domain_scores_codex":[0.9991779,0.0001671285,0.00001880219,0.0001164058,0.0004421146,0.00007756738],"domain_scores_gemma":[0.9993956,0.0001734788,0.00005269704,0.0000877418,0.0002614888,0.00002902648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001342163,0.0001830859,0.09836251,0.0002597199,0.00006352225,0.0001641572,0.0007366029,0.01916044,0.2390471,0.001486994,0.00124774,0.637946],"study_design_scores_gemma":[0.0003476595,0.004886601,0.4420261,0.0001728953,0.0002977986,0.001126994,0.002449513,0.1248204,0.3547699,0.002647212,0.0661877,0.0002672765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677886,0.001191096,0.1133387,0.0009775608,0.00008842527,0.0004227994,0.000513695,0.0006974256,0.01498179],"genre_scores_gemma":[0.8818561,0.0003903935,0.1151533,0.0001561846,0.00001864499,0.00005290634,0.0002101668,0.00003262111,0.002129777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09654596,"threshold_uncertainty_score":0.191968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023467183178913,"score_gpt":0.3378815705552664,"score_spread":0.2355348522373751,"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."}}