{"id":"W2271009580","doi":"","title":"여수 항만 지역의 퇴적물 중금속 함량 측정 연구","year":2015,"lang":"ko","type":"article","venue":"한국폐기물자원순환학회지","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; Loss on ignition; Environmental science; Enrichment factor; Contamination; Environmental chemistry; Heavy metals; Geology; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005741433,0.0003030068,0.0004118912,0.00002339834,0.0005736433,0.0001057019,0.0004591098,0.0003373309,0.001635629],"category_scores_gemma":[0.0003228427,0.0001357753,0.0001625867,0.0005127221,0.00034782,0.0002258629,0.0002969296,0.0002946343,0.003440228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005677918,"about_ca_system_score_gemma":0.00006506877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004254779,"about_ca_topic_score_gemma":0.001335747,"domain_scores_codex":[0.9979253,0.0002235778,0.0004187342,0.0005280997,0.0003155815,0.000588643],"domain_scores_gemma":[0.998737,0.0003155324,0.0001915983,0.0001463355,0.0003209188,0.0002886298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001348182,0.000384123,0.6843916,0.00001981171,0.0001695151,0.00005366379,0.001437421,0.000004678481,0.001506712,0.005343601,0.283322,0.02323207],"study_design_scores_gemma":[0.0005662926,0.0006230722,0.6627182,0.00003348223,0.00006389126,0.00001568331,0.004143191,0.00005572657,0.0003306539,0.003382873,0.3276135,0.0004533954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347401,0.002088196,0.000004461147,0.02984744,0.001525055,0.0002536196,0.00005040624,0.0001336959,0.03135702],"genre_scores_gemma":[0.9644806,0.0003645245,0.00006374888,0.004485173,0.0009935307,0.0000342371,0.00004088525,0.000002600617,0.02953473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04429149,"threshold_uncertainty_score":0.999277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006075308021016,"score_gpt":0.2602891342868718,"score_spread":0.1596816034847703,"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."}}