{"id":"W4399649316","doi":"10.32614/cran.package.klovan","title":"klovan: Geostatistics Methods and Klovan Data","year":2024,"lang":"en","type":"dataset","venue":"","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Nuclear Security Administration; U.S. Department of Energy","keywords":"Geostatistics; Computer science; Mathematics; Statistics; Spatial variability","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":[0.003111287,0.001442198,0.00117812,0.00301326,0.0008179087,0.002932155,0.003968453,0.001380869,0.07446048],"category_scores_gemma":[0.0175447,0.0009420189,0.001677231,0.005939172,0.0006302912,0.001650775,0.002875203,0.002608057,0.07416969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339439,"about_ca_system_score_gemma":0.00317193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01336354,"about_ca_topic_score_gemma":0.02793152,"domain_scores_codex":[0.9978618,0.0006258072,0.0002868402,0.0004705097,0.0005339299,0.000221095],"domain_scores_gemma":[0.9956104,0.001961406,0.0003405311,0.0009989575,0.0008765979,0.0002121588],"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":[0.00008359778,0.00003447807,0.001379473,0.0005676366,0.00004628748,0.00003523643,0.0000511474,0.001160255,0.0001072164,0.002504339,0.9836608,0.01036962],"study_design_scores_gemma":[0.000194578,0.00001645555,0.002250575,0.0002812854,0.00002608907,0.00008150716,0.00008002015,0.002109984,0.0003862448,0.006135205,0.988396,0.00004197891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005425635,0.0001593195,0.004122845,0.0002207158,0.00007026856,0.0001106203,0.9887105,0.003982578,0.002080598],"genre_scores_gemma":[0.001709509,0.0001095769,0.00911928,0.0001473851,0.00001476284,0.0007658586,0.9855593,0.001214458,0.001359808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07446048,"threshold_uncertainty_score":0.2490951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0424722792029983,"score_gpt":0.3709892886990823,"score_spread":0.328517009496084,"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."}}