{"id":"W6957998461","doi":"10.60692/6e91f-aw298","title":"Pair Selection Optimization for InSAR Time Series Processing","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geodynamics; Series (stratigraphy); Interferometric synthetic aperture radar; Selection (genetic algorithm); Electronic mail; Center (category theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002370899,0.002109121,0.001548921,0.001015896,0.0008402049,0.001413332,0.00149336,0.001607759,0.01435082],"category_scores_gemma":[0.007618401,0.000826976,0.001426223,0.001509496,0.0007254072,0.001428929,0.001501041,0.002289832,0.004890358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006274263,"about_ca_system_score_gemma":0.001514613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003643185,"about_ca_topic_score_gemma":0.004506144,"domain_scores_codex":[0.9984629,0.0007894917,0.00007072346,0.0002678301,0.0002924088,0.0001166322],"domain_scores_gemma":[0.9979809,0.001297783,0.00008379128,0.0001775027,0.0003753975,0.0000847903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007367143,0.000210106,0.001445816,0.000355544,0.0003466838,0.0002522847,0.0001239357,0.6040363,0.004507857,0.01299155,0.04331401,0.3316792],"study_design_scores_gemma":[0.00003166158,0.00006540018,0.000412137,0.0000118325,0.00001757701,0.00002913657,0.00002285964,0.9880354,0.0009822948,0.007404451,0.002974098,0.00001315988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007480048,0.0006000588,0.9863505,0.0003214003,0.0001670484,0.0001308176,0.0005606348,0.001779933,0.00260957],"genre_scores_gemma":[0.2453821,0.0006904712,0.7245347,0.0005345471,0.0005527892,0.001136735,0.006754259,0.001852479,0.01856191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01435082,"threshold_uncertainty_score":0.04800832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067171021385766,"score_gpt":0.1816763023161764,"score_spread":0.1710045921023187,"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."}}