{"id":"W2807219136","doi":"10.4095/293318","title":"Ground deformation produced by 2013 M6.6 Lake Grassmere earthquake in New Zealand mapped with RADARSAT-2 DInSAR","year":2013,"lang":"en","type":"report","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Seismology; Deformation (meteorology); Oceanography","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":[0.0001847102,0.0004496663,0.0002981409,0.00111763,0.0003836213,0.0004663306,0.0003088703,0.0004007331,0.001653351],"category_scores_gemma":[0.0004744496,0.0002697305,0.0002301957,0.001792753,0.0003781987,0.0004587388,0.0005501455,0.0003468035,0.000367066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775958,"about_ca_system_score_gemma":0.001138358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4905486,"about_ca_topic_score_gemma":0.6917633,"domain_scores_codex":[0.9998806,0.000005084164,0.00001140292,0.00002184951,0.0000496986,0.00003135249],"domain_scores_gemma":[0.9997787,0.000009130469,0.00006946099,0.00001241977,0.0000789422,0.00005135054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002849508,0.0004509767,0.7964352,0.0009909432,0.0003949894,0.005836805,0.004309223,0.02323896,0.08443777,0.000647646,0.01727387,0.06313413],"study_design_scores_gemma":[0.0000298456,0.00003287494,0.9955285,0.00001276492,0.0000270564,0.00008196978,0.0004186335,0.001454377,0.0007653963,0.00001708751,0.001618405,0.00001308145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923516,0.00008551871,0.0001446032,0.00008000686,0.00001537179,0.000032956,0.004918623,0.00003496792,0.002336398],"genre_scores_gemma":[0.9890737,0.000266906,0.0005038782,0.00002502745,0.000009561781,0.00002074239,0.006994141,0.0000148637,0.003091184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4905486,"threshold_uncertainty_score":0.9753865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003527114599819,"score_gpt":0.2157965128849124,"score_spread":0.2057612417389142,"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."}}