{"id":"W4387999941","doi":"10.2139/ssrn.4616082","title":"An Iterative Program to Back-Analyze Grain-Size Distribution from a Predetermined Soil-Water Characteristic Curve","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Distribution (mathematics); Mathematics; Soil science; Environmental science; Statistics; Mathematical analysis","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":[0.0006119661,0.0009095437,0.0004658419,0.0007286404,0.0004942947,0.0006443955,0.001341168,0.0008317965,0.01158305],"category_scores_gemma":[0.00284063,0.0004786731,0.0006870643,0.0004790177,0.0004943351,0.0005571903,0.001022234,0.001056642,0.002858247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007856727,"about_ca_system_score_gemma":0.001387729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00552814,"about_ca_topic_score_gemma":0.007009177,"domain_scores_codex":[0.9997454,0.00003605318,0.00001252501,0.00007293758,0.0000961253,0.00003683055],"domain_scores_gemma":[0.9988208,0.0006534297,0.00007484818,0.0001129084,0.0002908673,0.00004697545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005349031,0.0004235387,0.00519649,0.0003740244,0.0001981932,0.0003257632,0.0005999759,0.3007475,0.05882737,0.03282399,0.01311355,0.5868346],"study_design_scores_gemma":[0.00005241001,0.00005899481,0.0006206662,0.000009820258,0.00002781784,0.00006303757,0.00003035808,0.973917,0.01451094,0.005543239,0.005150244,0.00001536537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006482848,0.000004102684,0.9875417,0.00001798985,0.000009259217,0.00005276349,0.00007143743,0.004645927,0.00117392],"genre_scores_gemma":[0.1007027,0.00001522759,0.8914411,0.00005986952,0.00001556933,0.0003720346,0.000325396,0.002167182,0.004900906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01158305,"threshold_uncertainty_score":0.03874922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078286089261138,"score_gpt":0.2482727299581902,"score_spread":0.2374898690655789,"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."}}