{"id":"W6929635027","doi":"10.48577/jpl.ech7dm","title":"Characterizing methane emission hotspots from thawing permafrost","year":2023,"lang":"en","type":"dataset","venue":"JPL Data","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermokarst; Permafrost; Hotspot (geology); Methane; Wetland; Greenhouse gas; Peat; Climate change","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"],"consensus_categories":[],"category_scores_codex":[0.0001546897,0.0004222943,0.0004143001,0.00006541124,0.0001225567,0.00005806102,0.001287878,0.0003933833,0.00007797007],"category_scores_gemma":[0.0002225199,0.0003828146,0.00008534661,0.0001085303,0.00006077008,0.00001030094,0.003201962,0.0002446976,0.0006610142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003279501,"about_ca_system_score_gemma":0.0001170153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062288,"about_ca_topic_score_gemma":0.0004485924,"domain_scores_codex":[0.9978892,0.00006926576,0.0002742719,0.001146432,0.0002543007,0.0003665819],"domain_scores_gemma":[0.9967602,0.00004793419,0.0001925787,0.002853662,0.00003773702,0.0001078964],"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":[0.000069942,0.00004105279,0.0001635261,0.00004606449,0.0003773396,0.0000474506,0.00001167148,8.419347e-8,0.03537777,4.745969e-8,0.962981,0.000884083],"study_design_scores_gemma":[0.000415829,0.00002821334,0.00991575,0.0001788056,0.0002601013,0.000008490667,0.00004806276,0.000002011978,0.003410527,0.000003839612,0.9853296,0.0003988052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002160436,0.001440519,0.000004086608,0.0003391521,0.001043209,0.0001636872,0.994791,0.00003558337,0.00002233241],"genre_scores_gemma":[0.0001500617,0.003615151,0.00009690172,0.000380556,0.001852092,0.00003626889,0.9935985,0.00006005658,0.0002104599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03196725,"threshold_uncertainty_score":0.9998624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04910027476464413,"score_gpt":0.3205998907491273,"score_spread":0.2714996159844831,"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."}}