{"id":"W7001907405","doi":"","title":"A Material emission database for 90 target VOCs","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"National standard; Characterization (materials science); Air pollution; Indoor air quality; Volatile organic compound; Building material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002213844,0.00007837731,0.00007978118,0.000008587534,0.0001184343,0.00001975195,0.0001410737,0.00005355417,0.01350098],"category_scores_gemma":[0.00002632207,0.00006939649,0.00003889413,0.0000401194,0.00005346476,0.0001691006,0.00009616204,0.00004957529,0.0005067124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005866869,"about_ca_system_score_gemma":0.00000782848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002827719,"about_ca_topic_score_gemma":0.00002131399,"domain_scores_codex":[0.9993392,0.00002455561,0.0001293247,0.0001855256,0.0001078544,0.0002135078],"domain_scores_gemma":[0.9997107,0.00001457713,0.00003273736,0.0001698447,0.00000368941,0.00006840078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006838268,0.0000499566,0.00009016801,0.000008498037,0.000001776991,9.657036e-7,0.0002170532,0.00002602717,0.8363479,0.0002342586,0.1555376,0.007417363],"study_design_scores_gemma":[0.0003322067,0.00003814813,0.00007909632,0.000006797482,0.000004252854,0.000003904279,0.00001905234,0.000381845,0.3550459,0.0008012839,0.6431852,0.0001023323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444648,0.000006907096,0.006802847,0.003282854,0.0004907311,0.0005288641,0.0005071137,0.00009451753,0.04382136],"genre_scores_gemma":[0.9159647,0.000004414963,0.07363582,0.001515691,0.0004828672,0.00002679891,0.0001996256,0.00001766036,0.008152454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4876476,"threshold_uncertainty_score":0.9874008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238008192162132,"score_gpt":0.2439011626468342,"score_spread":0.2315210807252129,"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."}}