{"id":"W7117574941","doi":"10.1109/igarss55030.2025.11313882","title":"Investigation of Polarimetric Palsar2 and Palsar3 for Discontinuous Permafrost Mapping and Monitoring in Northern Alberta","year":2025,"lang":"","type":"article","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy","funders":"","keywords":"Permafrost; Bog; Peat; Lidar; Scattering; Swamp","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":[0.000827309,0.0002587489,0.0001493942,0.0009944557,0.0006315341,0.001001427,0.0007707425,0.000247501,0.0003930175],"category_scores_gemma":[0.0006390644,0.0001393342,0.0001321441,0.001618,0.0003176111,0.0003623449,0.0003284975,0.0002380657,0.0001197709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201968,"about_ca_system_score_gemma":0.002908532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5602296,"about_ca_topic_score_gemma":0.7976416,"domain_scores_codex":[0.9995596,0.0000351029,0.00001022137,0.00005226247,0.0002568595,0.0000858783],"domain_scores_gemma":[0.9995306,0.00007479157,0.00003972927,0.00002278175,0.0002766675,0.00005551262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004612964,0.0002131586,0.7605373,0.0001487441,0.00008489868,0.001140869,0.001222498,0.02604152,0.04914698,0.0008579167,0.002079296,0.1580655],"study_design_scores_gemma":[0.00004896967,0.0001419856,0.8573784,0.00005007213,0.0001111659,0.0002469693,0.00367809,0.1180251,0.01356237,0.0003078103,0.00641022,0.00003880927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910262,0.0003300923,0.003389257,0.0001258777,0.000005056713,0.00004991172,0.0006332839,0.0001402342,0.004300036],"genre_scores_gemma":[0.9894024,0.0003084273,0.008206834,0.00004434254,0.000005693578,0.00001783151,0.0009433994,0.00001966503,0.001051349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4397704,"threshold_uncertainty_score":0.8847206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04271951732745912,"score_gpt":0.253165830020883,"score_spread":0.2104463126934239,"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."}}