{"id":"W4387276448","doi":"10.1016/j.geoderma.2023.116674","title":"A framework for recalibrating pedotransfer functions using nonlinear least squares and estimating uncertainty using quantile regression","year":2023,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Ministry of Forests; University of British Columbia; Government of British Columbia; Ministry of Agriculture, Food and Rural Affairs; Simon Fraser University","funders":"","keywords":"Pedotransfer function; Mean squared error; Statistics; Mathematics; Quantile; Nonlinear regression; Quantile regression; Regression analysis; Soil science; Soil water; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001214898,0.0001919215,0.000196071,0.0001217365,0.0004051262,0.0001016104,0.0000631303,0.0001724404,0.00001601969],"category_scores_gemma":[0.0001116015,0.0001765446,0.00006504189,0.0004158153,0.00003220926,0.0002089197,0.00002659172,0.0002500028,0.000006565208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002861295,"about_ca_system_score_gemma":0.00002516768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006664919,"about_ca_topic_score_gemma":0.00001067037,"domain_scores_codex":[0.9990101,0.00002193552,0.0002422134,0.0002276275,0.0001194106,0.0003786598],"domain_scores_gemma":[0.9994679,0.0002229096,0.00002967033,0.0001533217,0.00004685478,0.00007932641],"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":[0.00001834246,0.000006219717,0.0007196441,0.0002404928,0.00003104062,0.000006771675,0.0006467942,0.9742106,0.01210433,0.00008504685,0.0001951525,0.01173554],"study_design_scores_gemma":[0.0002303958,0.00001535176,0.0002566525,0.0004810252,0.00003802584,0.00002150947,0.0005898423,0.9965989,0.0008002587,0.0005516499,0.0001955222,0.0002208581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7116057,0.0001602233,0.2868142,0.00005572743,0.0006093983,0.0001498976,0.00004684326,0.0005229773,0.00003507941],"genre_scores_gemma":[0.7854553,0.0000160124,0.2136357,0.00004324016,0.0006191788,0.00002277581,0.00008423747,0.0000862934,0.000037299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07384963,"threshold_uncertainty_score":0.719928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04891300894236806,"score_gpt":0.300448504034491,"score_spread":0.251535495092123,"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."}}