{"id":"W2911382427","doi":"10.4095/313591","title":"InSAR measurement of surface deformations in south Ontario","year":2019,"lang":"en","type":"report","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Interferometric synthetic aperture radar; Geodesy; Surface (topology); Geology; Geography; Remote sensing; Geometry; Mathematics; Synthetic aperture radar","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008753948,0.0002134426,0.0001857886,0.0005551983,0.001092321,0.0005774139,0.0001944071,0.0001210736,0.001503578],"category_scores_gemma":[0.0003928796,0.0001637725,0.0001275363,0.002078871,0.000265751,0.0001321158,0.0003104468,0.0001548311,0.0003340913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009164792,"about_ca_system_score_gemma":0.006769507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9812671,"about_ca_topic_score_gemma":0.9945645,"domain_scores_codex":[0.9998597,0.000005062073,0.00000442898,0.00002692027,0.00006761117,0.00003634571],"domain_scores_gemma":[0.9996444,0.00001649646,0.00004325771,0.00001820939,0.0002351514,0.00004247791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004951556,0.00007037897,0.8906798,0.0001431749,0.00009860486,0.0006292667,0.003868617,0.01135368,0.03139448,0.0006910846,0.009961777,0.05061396],"study_design_scores_gemma":[0.00001175513,0.00001405677,0.985455,0.00001049285,0.00001487386,0.00003323305,0.0009853647,0.004047766,0.001403683,0.0000486285,0.007963479,0.00001178025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823719,0.00008894019,0.0004033914,0.00009314685,0.000003868256,0.00002894253,0.00770185,0.00004946143,0.009258558],"genre_scores_gemma":[0.9865839,0.0001284007,0.0008844527,0.00002247954,0.000002153424,0.00001890613,0.006220656,0.00001324623,0.006125943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01873291,"threshold_uncertainty_score":0.06649554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408042429382955,"score_gpt":0.2318249724933451,"score_spread":0.1977445481995155,"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."}}