{"id":"W6910297018","doi":"10.4224/20377290","title":"Target VOC List. Final Report 1.1: CMEIAQ-II: Consortium for Material Emission and IAQ Modelling II","year":2005,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indoor air quality; Air quality index; Work (physics); Principal (computer security); Quality (philosophy); Phase (matter)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004986202,0.002104691,0.0009728845,0.00517459,0.001744613,0.003378178,0.004131541,0.002913127,0.0918376],"category_scores_gemma":[0.004153823,0.0008086328,0.001329768,0.005520797,0.0002581851,0.002090048,0.001787303,0.001662795,0.07747822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003367246,"about_ca_system_score_gemma":0.01622604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05520247,"about_ca_topic_score_gemma":0.04217657,"domain_scores_codex":[0.9956566,0.0004271194,0.0001875271,0.0003274916,0.002847124,0.0005541126],"domain_scores_gemma":[0.9923013,0.0003570476,0.000408689,0.000446434,0.005975645,0.000510903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006463305,0.0009625796,0.00471287,0.001841758,0.00003737455,0.0001950767,0.0001076125,0.005039042,0.007326126,0.00433366,0.9012893,0.07350831],"study_design_scores_gemma":[0.0001218803,0.0003841046,0.0124727,0.0002529791,0.00003311522,0.0001039375,0.0001609898,0.001299113,0.0125531,0.00115125,0.9714152,0.00005177313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008302887,0.001802133,0.01439705,0.002840016,0.001352555,0.007685644,0.5735202,0.003217014,0.3868825],"genre_scores_gemma":[0.01814896,0.002868424,0.0174111,0.001094321,0.0002652658,0.008262499,0.6420657,0.00176845,0.3081152],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0918376,"threshold_uncertainty_score":0.3072274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0695983106033327,"score_gpt":0.3165144305066667,"score_spread":0.246916119903334,"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."}}