{"id":"W3001192505","doi":"10.1007/s11004-020-09853-6","title":"Clarifications and New Insights on Conditional Bias","year":2020,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Virtual Materials Group (Canada)","funders":"","keywords":"Conditional probability distribution; Smoothing; Estimator; Statistics; Mathematics; Econometrics; Conditional variance; Regular conditional probability; Chain rule (probability); Marginal distribution; Conditional expectation; Conditional probability; Joint probability distribution; Random variable; Autoregressive conditional heteroskedasticity","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":[0.02004767,0.001445198,0.001694856,0.002375898,0.001414777,0.005340178,0.00379024,0.003020567,0.0153196],"category_scores_gemma":[0.1248815,0.0008986027,0.001752259,0.002946639,0.007920241,0.01707321,0.004635749,0.007149265,0.001204759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198326,"about_ca_system_score_gemma":0.001779585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002392681,"about_ca_topic_score_gemma":0.001811575,"domain_scores_codex":[0.9907362,0.004845851,0.0006172641,0.001481331,0.001882303,0.000437014],"domain_scores_gemma":[0.908884,0.07159653,0.00362903,0.0106852,0.004288351,0.0009168019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001186564,0.000009652565,0.0004342748,0.00004800938,0.00001608837,0.00005557901,0.000138392,0.002433955,0.0001433015,0.9880667,0.001937139,0.006705061],"study_design_scores_gemma":[0.000007728811,0.000005516573,0.0002116943,0.0000240147,0.00001114429,0.00007258252,0.00002862464,0.01405578,0.00013857,0.9827743,0.002655527,0.00001456584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02179894,0.003782355,0.9229522,0.02660672,0.001567314,0.00002751745,0.0004206307,0.0003601881,0.02248412],"genre_scores_gemma":[0.704812,0.007671034,0.2420143,0.008933294,0.0127747,0.0002081467,0.000739895,0.001066995,0.02177964],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02004767,"threshold_uncertainty_score":0.1060234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08641065283806934,"score_gpt":0.2664832877793565,"score_spread":0.1800726349412871,"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."}}