{"id":"W3204337718","doi":"","title":"Recent Thaw and Ponding of Upland Ice-Wedge Polygons Across the Canadian Arctic Archipelago","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ice wedge; Archipelago; Ponding; Arctic; Wedge (geometry); Geology; Physical geography; Geography; Permafrost; Oceanography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004913124,0.0002066011,0.0003017828,0.002767747,0.002582879,0.001431504,0.000918942,0.0003442056,0.001408387],"category_scores_gemma":[0.001715155,0.0002190977,0.000324106,0.004038007,0.0008551585,0.0004364964,0.0008599185,0.0003126453,0.0001489789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0104261,"about_ca_system_score_gemma":0.009663465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9825268,"about_ca_topic_score_gemma":0.995379,"domain_scores_codex":[0.9996868,0.00002254809,0.00001875878,0.00007047754,0.00008539453,0.0001160333],"domain_scores_gemma":[0.9981604,0.0001473459,0.000246074,0.00007655233,0.001106638,0.0002630609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001981728,0.0000271369,0.9822857,0.00004982217,0.00009426677,0.0001415477,0.002152252,0.001586638,0.001132305,0.0001888494,0.001767155,0.01037615],"study_design_scores_gemma":[0.000001350759,0.000002630647,0.9976865,0.000008742613,0.000007309667,0.00001808053,0.001049047,0.0003933924,0.0000620627,0.00001138782,0.0007553474,0.000004166198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955629,0.0001741664,0.00008073592,0.00007210089,0.000007780438,0.0000103375,0.002420074,0.00001475667,0.00165709],"genre_scores_gemma":[0.9973194,0.0001049022,0.0001626187,0.0000185983,0.000002512921,0.000006429453,0.001827958,0.000005844701,0.0005517801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01747316,"threshold_uncertainty_score":0.07564706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472892921950043,"score_gpt":0.2525227324160403,"score_spread":0.2177938031965399,"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."}}