{"id":"W4280552350","doi":"10.1255/tosf.171","title":"Estimating the heterogeneity invariant using size-density classes – the case of contaminated soil and complex materials","year":2022,"lang":"en","type":"article","venue":"TOS forum","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Sampling (signal processing); Variance (accounting); Sampling theory; Statistics; Variance reduction; Mathematics; Field (mathematics); Sample size determination; Econometrics; Computer science; Statistical physics; Physics; Monte Carlo method; Pure mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003367549,0.0005605422,0.0005848213,0.001536615,0.0004264147,0.001432069,0.001381035,0.001170919,0.0006726534],"category_scores_gemma":[0.01071737,0.0003484752,0.000731836,0.001131361,0.002061179,0.002242641,0.001240727,0.0009535063,0.0002013898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008526528,"about_ca_system_score_gemma":0.0003850064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008171825,"about_ca_topic_score_gemma":0.004049852,"domain_scores_codex":[0.9984005,0.0003609947,0.00005584944,0.0006160226,0.000404063,0.0001626072],"domain_scores_gemma":[0.9946617,0.00316439,0.0007655442,0.0009958774,0.0003146276,0.0000978856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000520691,0.0002204959,0.2256932,0.0006107769,0.0006984527,0.002297366,0.001182202,0.3073903,0.03301878,0.2192938,0.004578156,0.2044958],"study_design_scores_gemma":[0.00002413706,0.0001002506,0.07293671,0.00006379835,0.0001022422,0.001089136,0.0003834687,0.7505723,0.007798381,0.1617063,0.005096165,0.0001269736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3478478,0.001199217,0.6430311,0.0007374535,0.00006814572,0.00009745008,0.0006978374,0.0002581538,0.006062761],"genre_scores_gemma":[0.9463955,0.0004986998,0.05108224,0.0001664989,0.00009152226,0.00006064293,0.0004672026,0.00004630927,0.001191459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008171825,"threshold_uncertainty_score":0.01780951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494425836549713,"score_gpt":0.2583243818366349,"score_spread":0.2233801234711377,"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."}}