{"id":"W6894160237","doi":"10.5285/a32f775b-34dd-4f31-aafa-f88450eb7a90","title":"Hydraulic and hydrological data from surface and subsurface soils across the Thames catchment, UK, 2021","year":2022,"lang":"en","type":"dataset","venue":"NERC Open Research Archive (Natural Environment Research Council)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council","keywords":"Soil water; Hydraulic conductivity; Infiltrometer; Infiltration (HVAC); Hydrology (agriculture); Loam; Water content; Soil test; Soil horizon","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":[0.0003430803,0.0007395452,0.0004915597,0.002133699,0.0003542298,0.000891655,0.0006262947,0.0005923514,0.02899314],"category_scores_gemma":[0.001978497,0.0004012359,0.0003670254,0.005664556,0.000214072,0.0006474855,0.0008703998,0.0004043863,0.008671832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260625,"about_ca_system_score_gemma":0.001489269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1678902,"about_ca_topic_score_gemma":0.2401813,"domain_scores_codex":[0.9996339,0.00003599192,0.00006146372,0.00008858224,0.0001137978,0.00006622631],"domain_scores_gemma":[0.9980677,0.0002344633,0.0004682479,0.0001942735,0.0007804805,0.0002547792],"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":[0.000794118,0.0001600204,0.1796646,0.004148291,0.0003217942,0.001288807,0.001263728,0.0112194,0.003791372,0.00126706,0.7381193,0.05796153],"study_design_scores_gemma":[0.0002052373,0.0001160193,0.7602578,0.0004678002,0.00007835048,0.0002756709,0.00107084,0.003686861,0.0008673745,0.0003425163,0.232539,0.00009246579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02657601,0.0001558279,0.0001728757,0.00008748825,0.00001661565,0.00002913758,0.9705593,0.00008846139,0.002314341],"genre_scores_gemma":[0.06856973,0.0003744386,0.0007627843,0.00006486085,0.00002187208,0.0002585381,0.9241931,0.00003985704,0.005714697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1678902,"threshold_uncertainty_score":0.333826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2328519773454779,"score_gpt":0.4090488510880069,"score_spread":0.176196873742529,"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."}}