{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001640767,0.0002176527,0.0001654114,0.0003154486,0.0006098764,0.0006842304,0.000163173,0.0002360084,0.00201117],"category_scores_gemma":[0.00023766,0.0001201656,0.0001262759,0.0003901666,0.000256726,0.0003502846,0.0002796268,0.0001488512,0.0004771061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000431562,"about_ca_system_score_gemma":0.0008311254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006463395,"about_ca_topic_score_gemma":0.01700661,"domain_scores_codex":[0.9998056,0.00002323333,0.00001586887,0.00006459435,0.00004729264,0.00004333935],"domain_scores_gemma":[0.9997943,0.00001491004,0.00008041635,0.000006897434,0.00007378504,0.00002969104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002925028,0.0002027876,0.8165671,0.0004766492,0.00007693443,0.0006279858,0.001341542,0.0004768713,0.09830942,0.000528154,0.0008066644,0.08029323],"study_design_scores_gemma":[0.00001023188,0.0004198988,0.9703466,0.00003566024,0.00006557871,0.0008386712,0.00269076,0.0007810855,0.01570808,0.0005307037,0.008550453,0.0000222345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955577,0.0007258978,0.0007412572,0.0001224875,0.000008376734,0.00001879714,0.000132485,0.000009336459,0.00268356],"genre_scores_gemma":[0.9943539,0.0005014649,0.001272299,0.00009273762,0.00001009351,0.00002224372,0.0002905405,0.000003288731,0.003453612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006463395,"threshold_uncertainty_score":0.0128516,"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."}}