{"id":"W4390490754","doi":"10.2737/rds-2024-0009","title":"Ensemble model and input model rasters for soil organic carbon stock mean and uncertainties for Alaska, British Columbia, Washington, Oregon, California, and Hawai'i","year":2024,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest Research Station","keywords":"Stock (firearms); Carbon stock; Environmental science; Soil carbon; Geography; Oceanography; Archaeology; Geology; Soil water; Soil science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005099664,0.000887544,0.0005905536,0.001495345,0.0004920374,0.0008647676,0.001806852,0.0007967641,0.03966001],"category_scores_gemma":[0.002049381,0.0004751409,0.0007937488,0.003710017,0.0001961254,0.0008245572,0.0007175184,0.001344112,0.02742147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160774,"about_ca_system_score_gemma":0.001682678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1225046,"about_ca_topic_score_gemma":0.2194091,"domain_scores_codex":[0.9997672,0.00002753912,0.00002173142,0.00007234346,0.00007460197,0.00003654829],"domain_scores_gemma":[0.999162,0.0001104287,0.00004903021,0.0001778303,0.0004365979,0.00006407418],"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":[0.00004316751,0.00004148617,0.003091172,0.0002177538,0.00005184926,0.0000279645,0.00002927358,0.005701165,0.0001303549,0.0009742875,0.9840876,0.005603804],"study_design_scores_gemma":[0.0003600967,0.00001825098,0.01826393,0.0002853056,0.00005753262,0.00006736747,0.0001748898,0.01518477,0.0008979251,0.004358518,0.960276,0.00005537514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006091221,0.00002353224,0.0002898361,0.00005104581,0.00002227988,0.000009680314,0.9976859,0.0004248051,0.0008837893],"genre_scores_gemma":[0.001409635,0.00003032627,0.0007095611,0.00001585477,0.000004155205,0.00004672658,0.9971295,0.00007660787,0.0005777098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8774954,"threshold_uncertainty_score":0.2435831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358355800577986,"score_gpt":0.2886131009903496,"score_spread":0.2450295429845698,"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."}}