{"id":"W2984645339","doi":"","title":"L-band InSAR Penetration Depth Experiment, North Slope Alaska","year":2017,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Interferometric synthetic aperture radar; Synthetic aperture radar; Arctic; Radar; Environmental science; Spacecraft; Earth observation; Meteorology; Tundra; Space-based radar; Geology; Satellite; Radar imaging; Aerospace engineering; Geography; Radar engineering details; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001799567,0.0002704379,0.0002418508,0.00006433768,0.0007550288,0.0009122248,0.0005938865,0.0001245382,0.003597413],"category_scores_gemma":[0.00004672321,0.0002336095,0.00007828933,0.00005436971,0.00009995289,0.0009811146,0.000026975,0.0001911583,0.001002486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008600683,"about_ca_system_score_gemma":0.0001282464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007411819,"about_ca_topic_score_gemma":0.1796001,"domain_scores_codex":[0.9983256,0.0000408632,0.0003337673,0.0004410971,0.0003485256,0.0005101654],"domain_scores_gemma":[0.9987176,0.0000430636,0.000298998,0.0005652512,0.0001058936,0.0002691772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004869068,0.00005218511,0.9577129,0.00001690909,0.00002406199,0.00007057666,0.000589628,0.0006011258,0.0173457,0.00003812349,0.002271996,0.02122813],"study_design_scores_gemma":[0.0003771648,0.0001377439,0.9767278,0.00002028114,0.00001221397,0.00001308992,0.00009442907,0.0006966457,0.01706686,0.00007565392,0.004445332,0.0003328035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9257333,0.0001549425,0.0000119715,0.0004797102,0.0007241185,0.000187827,0.0002816866,0.00004294034,0.07238349],"genre_scores_gemma":[0.9954809,0.0002816817,0.0001406122,0.0002860012,0.0006717922,0.000004600915,0.001718874,0.000008340001,0.001407177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1721883,"threshold_uncertainty_score":0.9997754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08203589015161081,"score_gpt":0.290307206477779,"score_spread":0.2082713163261682,"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."}}