{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003771577,0.0002917868,0.0002913373,0.0018082,0.0006785917,0.001295677,0.0005097754,0.0001628463,0.009021806],"category_scores_gemma":[0.01041111,0.0001342841,0.0004613136,0.00309568,0.0004418719,0.0008921819,0.0006449859,0.0002993591,0.002219636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124597,"about_ca_system_score_gemma":0.002181538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0237268,"about_ca_topic_score_gemma":0.02502848,"domain_scores_codex":[0.9970484,0.0008141455,0.0003868978,0.0004884473,0.001070044,0.0001919846],"domain_scores_gemma":[0.993958,0.001263511,0.00073253,0.0005363074,0.003366914,0.0001428103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002991708,0.0002045516,0.5032036,0.0005628702,0.0002648399,0.0001283545,0.001554464,0.003816078,0.004230655,0.0108825,0.01672222,0.4581307],"study_design_scores_gemma":[0.00005386498,0.0006279417,0.7980781,0.0001784291,0.0002998649,0.0002947527,0.006554476,0.01237885,0.01831055,0.006224961,0.1568574,0.0001407956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7649927,0.001208118,0.06045208,0.002716443,0.0004131523,0.001343968,0.01463938,0.0004371199,0.1537971],"genre_scores_gemma":[0.9329523,0.0006948431,0.04040687,0.000334528,0.00004671525,0.0005400151,0.007344667,0.00003844876,0.0176416],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0237268,"threshold_uncertainty_score":0.04717737,"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."}}