{"id":"W3195305910","doi":"","title":"Spatial heterogeneity in thinning rates on Saskatchewan Glacier, Canadian Rockies, studied from repeat topographic surveys using airborne laser scanning and an unmanned aerial system.","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thinning; Glacier; Lidar; Laser scanning; Geology; Remote sensing; Geography; Aerial survey; Physical geography; Forestry; Cartography; Laser","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":[0.0005423925,0.0002521824,0.0002605501,0.001744873,0.001359038,0.000702064,0.0007708556,0.0003311201,0.001246941],"category_scores_gemma":[0.001497427,0.000287195,0.0002638439,0.002749615,0.0007786263,0.0003175584,0.0004528961,0.0002927149,0.0002117264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007410032,"about_ca_system_score_gemma":0.00690244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979111,"about_ca_topic_score_gemma":0.9944008,"domain_scores_codex":[0.99972,0.00002173553,0.00001420828,0.0000894874,0.0000647701,0.000089866],"domain_scores_gemma":[0.9984322,0.0002188754,0.0002814522,0.0001062594,0.000803436,0.0001577642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001093844,0.00002045887,0.9896325,0.00001868462,0.0001099664,0.00008971903,0.0005314425,0.001221629,0.001754588,0.0001045053,0.0006596784,0.005747343],"study_design_scores_gemma":[0.000001822233,0.000002486976,0.9992172,0.000004276941,0.00000929358,0.00001307137,0.0002718154,0.0002985282,0.00004354511,0.000008761654,0.0001251192,0.000004106153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978393,0.00007172553,0.00006028852,0.00002451203,0.000001515568,0.000007147299,0.001320688,0.000006948301,0.0006677511],"genre_scores_gemma":[0.9980747,0.0000614482,0.0001178664,0.00001250372,9.331928e-7,0.000005327387,0.001350427,0.000003592727,0.0003731047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02088898,"threshold_uncertainty_score":0.05376381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118341174951555,"score_gpt":0.2505649191926409,"score_spread":0.2193815074431253,"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."}}