{"id":"W3107352070","doi":"","title":"Detecting sinkholes using InSAR time series and field observations in Quebec City, Canada","year":2016,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sinkhole; Interferometric synthetic aperture radar; Series (stratigraphy); Field (mathematics); Geology; Remote sensing; Geography; Geodesy; Physical geography; Synthetic aperture radar; Archaeology; Karst; Mathematics; Paleontology","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":[0.0002901526,0.0004267559,0.0002881011,0.001347365,0.001460544,0.0009179219,0.0009823551,0.0004302875,0.002803376],"category_scores_gemma":[0.0009754843,0.0002377062,0.0002582496,0.002276208,0.0004214186,0.0005091226,0.0004272879,0.0004101852,0.000338162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01709041,"about_ca_system_score_gemma":0.02073829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978284,"about_ca_topic_score_gemma":0.9991504,"domain_scores_codex":[0.99977,0.00001622419,0.00000972921,0.00004933018,0.00006976882,0.00008497066],"domain_scores_gemma":[0.9987675,0.0000829637,0.00008846858,0.00002668873,0.0008779364,0.0001565075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000329111,0.0001956054,0.9032202,0.0001637799,0.0001743604,0.000511779,0.001571086,0.009877395,0.005140438,0.001044706,0.02703892,0.05073278],"study_design_scores_gemma":[0.00002950799,0.00001423575,0.9817696,0.00004138064,0.00002855717,0.0000362996,0.001621743,0.0111226,0.0003965365,0.00005905649,0.004852136,0.00002836522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759933,0.000557106,0.0009428842,0.0005180839,0.00003171584,0.00009993793,0.01454309,0.0001848834,0.007128979],"genre_scores_gemma":[0.9899722,0.0002613523,0.001057463,0.00007442197,0.000006720295,0.00002610676,0.003990935,0.00002270444,0.004588043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01709041,"threshold_uncertainty_score":0.1240002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226390827540618,"score_gpt":0.2044744431335653,"score_spread":0.1818353603795035,"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."}}