{"id":"W6947967946","doi":"10.4121/16686154","title":"Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0","year":2022,"lang":"en","type":"dataset","venue":"4TU.ResearchData","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Soil carbon; Soil water; Land cover; Stock (firearms); Spatial variability; Hydrology (agriculture); Digital soil mapping","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":[],"category_scores_codex":[0.0005633219,0.0002940102,0.0003364675,0.0002345556,0.0001942862,0.00005239688,0.0006472539,0.0002534214,0.001158566],"category_scores_gemma":[0.0003627956,0.0003203152,0.00003938931,0.0002253079,0.0001618002,0.000007883666,0.003910285,0.0005770238,0.000001951846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007871423,"about_ca_system_score_gemma":0.001349934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9308807,"about_ca_topic_score_gemma":0.9918218,"domain_scores_codex":[0.9973612,0.0003303242,0.0002987921,0.0009060229,0.0005975953,0.0005060014],"domain_scores_gemma":[0.9983356,0.00004719222,0.0001235043,0.001248072,0.00007312076,0.0001724931],"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":[0.0001778025,0.00002798255,0.001022238,0.00009679861,0.00006077188,0.0000951678,0.000006126797,0.000004751793,0.01538952,1.223253e-7,0.9823533,0.0007654662],"study_design_scores_gemma":[0.0004978022,0.0002177061,0.001036316,0.00002983239,0.0000684893,0.00002555109,0.00008097821,0.0004378506,0.0098183,0.000006678514,0.9873919,0.000388583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1918945,0.004550749,0.00001095921,0.0002204595,0.00007731267,0.0006259346,0.802465,0.00001468336,0.0001404013],"genre_scores_gemma":[0.02894365,0.007970249,0.000018438,0.00009705585,0.000105837,0.0000494396,0.9621989,0.00003502033,0.0005813742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1629509,"threshold_uncertainty_score":0.9999249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191999921271184,"score_gpt":0.2626321928691009,"score_spread":0.2507121936563891,"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."}}