{"id":"W3031356226","doi":"","title":"북한강 수계 호소퇴적물 오염도 평가","year":2019,"lang":"ko","type":"article","venue":"한국물환경학회지","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; Environmental science; Pollution; Nutrient; Hydrology (agriculture); Environmental chemistry; Ecology; Geology; Biology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002404438,0.0001988276,0.0002967128,0.00001324901,0.0003555281,0.00005877121,0.0002950954,0.000235553,0.01122824],"category_scores_gemma":[0.00005984796,0.00008437042,0.0001418811,0.0003135419,0.0001422234,0.0001354296,0.0001722795,0.0002096074,0.01083016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002250072,"about_ca_system_score_gemma":0.00001917897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001680492,"about_ca_topic_score_gemma":0.0005689878,"domain_scores_codex":[0.9986393,0.0001049733,0.0002682304,0.0004111368,0.0001686127,0.0004077856],"domain_scores_gemma":[0.9992341,0.0003419746,0.0001243674,0.0001089842,0.0001066006,0.00008392416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005051621,0.0001488343,0.9410884,0.00002350464,0.00009457513,0.000009488107,0.000274006,0.000003465907,0.005838216,0.008074148,0.02683353,0.01756132],"study_design_scores_gemma":[0.0001866758,0.0002823407,0.7853144,0.00002377269,0.00002156071,0.000003550202,0.0009305938,0.00003216193,0.0001964858,0.0009488903,0.211839,0.0002205896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497608,0.0009016996,6.204366e-7,0.01637407,0.001218327,0.000249473,0.00002712912,0.00006699674,0.03140088],"genre_scores_gemma":[0.9381536,0.0003155232,0.00002215503,0.003957981,0.000387587,0.00001537044,0.00002072032,0.000001363454,0.05712568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1850054,"threshold_uncertainty_score":0.98994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269055694914566,"score_gpt":0.2169562571173438,"score_spread":0.1942657001681981,"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."}}