{"id":"W6926036332","doi":"10.18739/a2707wp16","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":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":4,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00131382,0.001125284,0.001815791,0.0006724706,0.0006721194,0.0007904854,0.001413684,0.0008524748,0.01202687],"category_scores_gemma":[0.0003051708,0.00117158,0.0004566041,0.0004141906,0.0008557343,0.000831333,0.00091258,0.0007473149,0.03642299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546121,"about_ca_system_score_gemma":0.0001654994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145252,"about_ca_topic_score_gemma":0.001351073,"domain_scores_codex":[0.994408,0.0000730749,0.001770563,0.002325531,0.0001844169,0.001238404],"domain_scores_gemma":[0.996165,0.0002196279,0.001123151,0.001882134,0.0001753739,0.0004346919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005750528,0.0001282067,0.0009151858,0.0001926636,0.0004769407,0.00002260017,0.0004455642,0.000009152417,0.000002175399,0.0004061638,0.996982,0.0003618046],"study_design_scores_gemma":[0.001256669,0.0001627475,0.00176448,0.0002545843,0.0001570561,0.00004519278,0.0004256988,0.0003049682,0.00002124869,0.001738359,0.9924294,0.001439624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00655951,0.01402908,0.00001537744,0.0002865797,0.007818257,0.0006689405,0.9472018,0.0001226414,0.02329778],"genre_scores_gemma":[0.01229493,0.02647985,0.0004108122,0.003152168,0.002910684,0.0002377684,0.8884822,0.0002903979,0.06574117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05871962,"threshold_uncertainty_score":0.9990734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194723753651949,"score_gpt":0.2263028393063567,"score_spread":0.2068304639411618,"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."}}