{"id":"W2965568473","doi":"","title":"토양 침투특성을 고려한 수문학적 토양군 분류","year":2002,"lang":"ko","type":"article","venue":"","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permeameter; Watershed; Hydraulic conductivity; Hydrology (agriculture); Environmental science; Flux (metallurgy); Soil water; Geology; Soil science; Geotechnical engineering; Materials science","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":[0.000195422,0.0000945412,0.0001756432,0.0002184657,0.0005799499,0.0004467012,0.0001457944,0.0001479892,0.002165314],"category_scores_gemma":[0.0002323673,0.0001120086,0.00008498786,0.0003481217,0.0002552304,0.0003618834,0.0001373584,0.0001367235,0.000994974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005520551,"about_ca_system_score_gemma":0.0005983562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009948397,"about_ca_topic_score_gemma":0.01875601,"domain_scores_codex":[0.999876,0.000007101926,0.000006261764,0.0000391196,0.00003756041,0.0000338367],"domain_scores_gemma":[0.9998642,0.00001264004,0.00002651861,0.000007731565,0.00006203414,0.00002699807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001081134,0.0004791757,0.5381364,0.0001580047,0.00004555472,0.0009350708,0.002303655,0.001140317,0.3886454,0.002215687,0.000999681,0.06385995],"study_design_scores_gemma":[0.00001771049,0.0006421721,0.9099699,0.000009960298,0.00002917536,0.0005248168,0.001967283,0.001765059,0.07178687,0.0006561606,0.01259982,0.00003096725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966889,0.00004100972,0.0003262722,0.00002616021,0.000002720447,0.00001403635,0.0001492038,0.000004146613,0.002747556],"genre_scores_gemma":[0.9929092,0.00009436315,0.0006783231,0.00003182817,0.000003604502,0.000020649,0.0004122509,0.000003036389,0.005846864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009948397,"threshold_uncertainty_score":0.01978099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031219321462876,"score_gpt":0.193239885748512,"score_spread":0.1629276925338832,"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."}}