{"id":"W6907072325","doi":"10.18739/a2s87q","title":"Yukon-Kuskokwim Delta fire: thaw depth, soil temperature, and point-intercept vegetation, Yukon-Kuskokwim Delta Alaska, 2015-2016","year":2018,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Delta; Permafrost; River delta; Arctic; Ecosystem; Thermokarst; Carbon cycle; Climate change; Boreal","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":[0.0002668626,0.0002118827,0.000171444,0.0004817565,0.0006192913,0.0006309602,0.0003198348,0.0002484148,0.00124926],"category_scores_gemma":[0.000463891,0.0001448244,0.0003187271,0.0008234744,0.0002893112,0.0003501558,0.0005113542,0.0002867854,0.0002237191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586803,"about_ca_system_score_gemma":0.002208148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3377454,"about_ca_topic_score_gemma":0.5871138,"domain_scores_codex":[0.9999139,0.000008565476,0.00001029116,0.0000293973,0.00001655193,0.00002122286],"domain_scores_gemma":[0.9997213,0.00002011326,0.00007660662,0.00001550818,0.0000999766,0.00006634602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007510786,0.00002535721,0.9935034,0.00002880784,0.00008181598,0.00006101406,0.0003935866,0.0003842052,0.000492789,0.00008131349,0.000676827,0.004195793],"study_design_scores_gemma":[0.000001570229,0.000006248079,0.9984695,0.00001409766,0.00001749097,0.00001957366,0.0007507484,0.0002037404,0.00004806721,0.00002384458,0.0004420568,0.000003015823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9975108,0.0002449416,0.00004858336,0.00006014035,0.00001228408,0.000003227588,0.001425887,0.000006081732,0.0006879892],"genre_scores_gemma":[0.9970098,0.0002196719,0.00008359215,0.0000205734,0.000005974053,0.000007617742,0.001866595,0.000004109424,0.000782129],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3377454,"threshold_uncertainty_score":0.671559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124041270194867,"score_gpt":0.2676241614723304,"score_spread":0.2563837487703817,"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."}}