{"id":"W1920832461","doi":"","title":"국내 시간별 대기환경지수 방법의 문제점과 개선 방안","year":2006,"lang":"ko","type":"article","venue":"한국대기환경학회지(국문)","topic":"Education, Safety, and Science Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Index (typography); Environmental science; Meteorology; Geography; Computer science","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001943331,0.0005251822,0.0006109056,0.000221145,0.003308163,0.0004473486,0.001187767,0.0003339088,0.002447006],"category_scores_gemma":[0.000461773,0.000484112,0.0003608378,0.00182295,0.002193928,0.0007536227,0.0002185419,0.0004082516,0.001653987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503979,"about_ca_system_score_gemma":0.000924608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01976622,"about_ca_topic_score_gemma":0.02144805,"domain_scores_codex":[0.9947019,0.0004394163,0.0008370767,0.001058206,0.001439027,0.001524407],"domain_scores_gemma":[0.9976107,0.0005099418,0.0003804511,0.0006855368,0.0004510846,0.0003623264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004363297,0.001364115,0.429846,0.0001610958,0.0001603947,0.00002580399,0.1019444,0.00008042881,0.0007997428,0.09244932,0.3554515,0.01767362],"study_design_scores_gemma":[0.0005632902,0.0001313893,0.4683197,0.0001254646,0.0001241868,0.000005230142,0.05217605,0.00009466559,0.0002113524,0.02653576,0.4506565,0.001056378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5260658,0.005257998,0.0001086895,0.04582077,0.01145545,0.0008537067,0.0000901536,0.0003408816,0.4100066],"genre_scores_gemma":[0.9116752,0.002010093,0.0004084824,0.0007711721,0.005189213,0.00004488961,0.0000234393,0.00003747303,0.07984006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3856094,"threshold_uncertainty_score":0.999761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779572259400676,"score_gpt":0.3425527581918877,"score_spread":0.314757035597881,"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."}}