{"id":"W3184275331","doi":"","title":"원저 : 부산 남항 퇴적물의 오염도 평가 연구","year":2013,"lang":"ko","type":"article","venue":"한국폐기물자원순환학회지","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dredging; Sediment; Environmental science; Environmental chemistry; Loss on ignition; Contamination; Pollution; Heavy metals; Geology; Chemistry; Oceanography; Ecology","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":[0.0001690208,0.0002533676,0.0001782456,0.0006733285,0.0009936554,0.0005956026,0.0001804489,0.0001614882,0.002474078],"category_scores_gemma":[0.0002088262,0.0001458891,0.00009966157,0.0008037063,0.0003664963,0.0001788937,0.0003593959,0.0001852106,0.0007514227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006784694,"about_ca_system_score_gemma":0.0006612306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417741,"about_ca_topic_score_gemma":0.05977944,"domain_scores_codex":[0.9997749,0.00001592384,0.00001709656,0.00005720105,0.00009922167,0.00003572675],"domain_scores_gemma":[0.9997975,0.000008024726,0.00006612493,0.00000723283,0.0001001332,0.00002103331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004567476,0.0001031531,0.6167502,0.0003164426,0.00007740015,0.001729149,0.003080078,0.0004845766,0.314917,0.0005379372,0.001637158,0.05991013],"study_design_scores_gemma":[0.000009503245,0.0002290024,0.9209023,0.00002843676,0.00003531833,0.0006008031,0.001474324,0.0002741545,0.05459095,0.0001451151,0.02168739,0.00002271953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946794,0.0001679579,0.0006034016,0.0000760722,0.000007286322,0.00002953044,0.0007365957,0.00001993864,0.003679808],"genre_scores_gemma":[0.9829571,0.0002463715,0.003555184,0.00007067264,0.000008397687,0.00004277083,0.001617023,0.00001113734,0.01149126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01417741,"threshold_uncertainty_score":0.02818978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454525471140843,"score_gpt":0.1919809313573285,"score_spread":0.17743567664592,"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."}}