{"id":"W3094807624","doi":"","title":"제주도 서귀포항 및 한림항내 표층퇴적물의 PCBs 분포","year":2017,"lang":"ko","type":"article","venue":"한국환경과학회지","topic":"Marine and Coastal Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benthic zone; Environmental science; Sediment; Environmental chemistry; Total organic carbon; Sedimentary rock; Heavy metals; Oceanography; Geology; Chemistry; Geochemistry; Geomorphology","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":[0.0001051933,0.0003187766,0.000153103,0.0006064791,0.0003432861,0.0003578277,0.0001312921,0.0001204005,0.001562629],"category_scores_gemma":[0.0001605137,0.0001866704,0.0001476117,0.0008983185,0.0002204539,0.0002057222,0.0002165443,0.0001987072,0.0004525039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002983988,"about_ca_system_score_gemma":0.0002889186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006541403,"about_ca_topic_score_gemma":0.01377219,"domain_scores_codex":[0.9997743,0.00001477612,0.00001745641,0.00008400639,0.00007453947,0.00003511425],"domain_scores_gemma":[0.9997974,0.000008245473,0.00006403078,0.00001077952,0.00009540423,0.00002418596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000344841,0.00007968014,0.5440139,0.0002022776,0.00007676507,0.0005446494,0.0004808027,0.0003815697,0.4137925,0.0001732854,0.0006380368,0.03927172],"study_design_scores_gemma":[0.000006020067,0.0003947748,0.8960971,0.00001138055,0.00005065338,0.0004284643,0.0006405319,0.0003785204,0.09493841,0.00009180903,0.006943175,0.00001912571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994154,0.0001836279,0.0009565864,0.00002808098,0.00001020483,0.00002754564,0.0009415835,0.00002406715,0.003674187],"genre_scores_gemma":[0.9909958,0.0002954129,0.002221677,0.00004968059,0.000005025453,0.0000239601,0.0012987,0.000009147209,0.005100586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006541403,"threshold_uncertainty_score":0.01300663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030716127333702,"score_gpt":0.3015585704014871,"score_spread":0.2712514091281502,"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."}}