{"id":"W2791366971","doi":"10.4095/263380","title":"SAR interferometry for permafrost monitoring","year":2010,"lang":"en","type":"report","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Permafrost; Interferometry; Remote sensing; Geology; Environmental science; Oceanography; Physics; Optics","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":[0.0004067815,0.0005332357,0.0004090362,0.001053014,0.0002008825,0.0006580919,0.0003733179,0.0003990035,0.005657459],"category_scores_gemma":[0.0006342201,0.0001390846,0.0001859291,0.001830129,0.0002621483,0.0005485004,0.0004133835,0.0005688927,0.003696693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179556,"about_ca_system_score_gemma":0.0003736935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000755999,"about_ca_topic_score_gemma":0.001038504,"domain_scores_codex":[0.999642,0.00008099655,0.00001623524,0.00005860724,0.0001855144,0.00001667581],"domain_scores_gemma":[0.9996752,0.00004230009,0.00003908673,0.00007173439,0.0001561983,0.00001555182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009038763,0.00007683662,0.002970689,0.0005052386,0.00005280657,0.0002813941,0.00009825295,0.01686745,0.04480092,0.02120418,0.05518049,0.8578714],"study_design_scores_gemma":[0.00005457716,0.0002716146,0.01967043,0.0004148819,0.00005098234,0.0008501888,0.0001433559,0.08738095,0.01943271,0.04196782,0.8296889,0.0000735095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03333159,0.07074815,0.7003968,0.004979,0.001447192,0.000432786,0.005887675,0.007556465,0.1752204],"genre_scores_gemma":[0.3607866,0.04405495,0.5154344,0.001049985,0.001480726,0.0003644417,0.01180922,0.0008210549,0.06419861],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005657459,"threshold_uncertainty_score":0.01892608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113422571623972,"score_gpt":0.3227198586437627,"score_spread":0.2113776014813655,"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."}}