{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000485214,0.0006512754,0.0005858739,0.0000403204,0.0008864268,0.0007669101,0.001759892,0.000534492,0.00452476],"category_scores_gemma":[0.0002014545,0.0002455387,0.0003343262,0.001355224,0.0005303007,0.001025551,0.0005033457,0.0005998044,0.01900005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087941,"about_ca_system_score_gemma":0.0000452382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002897857,"about_ca_topic_score_gemma":0.000721832,"domain_scores_codex":[0.9953196,0.0002203844,0.0006802424,0.001260971,0.001013043,0.001505768],"domain_scores_gemma":[0.9978966,0.0004045129,0.0003569847,0.0003116904,0.0002969826,0.0007332106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003631898,0.0008364301,0.18397,0.00007395076,0.0001015287,0.00007434302,0.001067524,0.00003386924,0.04639857,0.004972761,0.6740095,0.08842519],"study_design_scores_gemma":[0.000329919,0.0005593813,0.8704305,0.0001342659,0.00005442776,0.0001158013,0.001789477,0.000500038,0.003196688,0.0025579,0.1190897,0.001241857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571285,0.0006893812,0.000006933053,0.01049221,0.00140767,0.0008584081,0.0001379998,0.0002662132,0.02901265],"genre_scores_gemma":[0.9531788,0.0003469906,0.0001844958,0.001423076,0.00174917,0.00007009865,0.0001193571,0.000004950161,0.04292312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6864606,"threshold_uncertainty_score":0.9999997,"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."}}