{"id":"W6894308434","doi":"10.5285/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb","title":"Physical and chemical properties of wildfire ash collected from different ecosystems and burn severities across the globe, 2003-2021","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem; Sampling (signal processing); Chemical composition; Vegetation (pathology); Hydrology (agriculture)","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":[0.0008042204,0.001049693,0.0009324663,0.001651615,0.0004831395,0.001144811,0.001374532,0.001328327,0.01123543],"category_scores_gemma":[0.003034045,0.0003721635,0.0009372383,0.00381802,0.0002467076,0.0006712407,0.001071604,0.0007905086,0.01424046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156337,"about_ca_system_score_gemma":0.00127802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06409117,"about_ca_topic_score_gemma":0.09239,"domain_scores_codex":[0.9994962,0.00006076489,0.0000748159,0.0001591749,0.0001350822,0.00007393601],"domain_scores_gemma":[0.9987697,0.0003066447,0.0001897491,0.0001942277,0.0004468847,0.00009272412],"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":[0.0002314713,0.00007490554,0.02077198,0.001395414,0.0001718146,0.0001012193,0.00009952089,0.001404938,0.0004979332,0.0005469955,0.9669936,0.007710136],"study_design_scores_gemma":[0.0003990495,0.00005838705,0.1465764,0.0007903892,0.0001529963,0.0002307989,0.000427727,0.001966704,0.001110062,0.001562691,0.8466296,0.00009522215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00110034,0.00008369356,0.0000477291,0.000038332,0.00001151566,0.000005746935,0.9983069,0.00006162977,0.0003440811],"genre_scores_gemma":[0.001605737,0.00005216112,0.000175803,0.00003261686,0.000004420172,0.00003158086,0.9976706,0.00001382942,0.0004131768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06409117,"threshold_uncertainty_score":0.1274362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127517579367536,"score_gpt":0.2848158101053252,"score_spread":0.2535406343116499,"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."}}