{"id":"W2468936159","doi":"","title":"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; Contamination; Loss on ignition; Heavy metals; Pollution; Geology; Chemistry; Oceanography","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":[0.0001576894,0.0003136416,0.0002461216,0.0009190452,0.001076985,0.0005047019,0.0001795769,0.0001702379,0.001470202],"category_scores_gemma":[0.0002132484,0.0002060463,0.0001363336,0.001107963,0.0004250244,0.0001883539,0.0003644537,0.0002161917,0.0004017745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201814,"about_ca_system_score_gemma":0.0006712698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936302,"about_ca_topic_score_gemma":0.08748674,"domain_scores_codex":[0.9997508,0.00001751684,0.00002226651,0.00006581909,0.0001077289,0.0000358974],"domain_scores_gemma":[0.9997576,0.00001181359,0.00008995779,0.00000995901,0.0001074639,0.00002312635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003608704,0.0000882645,0.5368289,0.00034587,0.00008670702,0.001448448,0.003239662,0.0004976913,0.4252058,0.0003965877,0.0006871303,0.0308139],"study_design_scores_gemma":[0.000007587813,0.0002149077,0.9398146,0.00002328059,0.00003638835,0.0005039513,0.00119833,0.0002245498,0.04601826,0.0001030974,0.01183542,0.00001951052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961343,0.0001564879,0.0005389659,0.00003071572,0.000004479823,0.00003163931,0.0007785995,0.00001562701,0.002309194],"genre_scores_gemma":[0.9869093,0.0003375107,0.003979406,0.00005484654,0.000006959866,0.00005678292,0.001923768,0.000009751521,0.006721627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01936302,"threshold_uncertainty_score":0.03850061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471065019658913,"score_gpt":0.192720793584734,"score_spread":0.1780101433881448,"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."}}