{"id":"W2335834927","doi":"","title":"Opportunities for reducing volatile organic compound emissions in manufacturing office furniture partitions: a feasibility analysis","year":2009,"lang":"en","type":"article","venue":"International Conference on Energy & Environment","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Christian ministry; Pollution prevention; Volatile organic compound; Plan (archaeology); Control (management); Waste management; Furniture industry; Baseline (sea); Environmental science; Environmental economics; Computer science; Operations management; Manufacturing engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004300741,0.0009715604,0.000526313,0.002100607,0.0008256059,0.001324552,0.0009131543,0.001103572,0.005494749],"category_scores_gemma":[0.004265521,0.0004936495,0.001770467,0.000705806,0.0005521773,0.001169743,0.0007986538,0.0006904688,0.0003954121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744325,"about_ca_system_score_gemma":0.002833345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0034196,"about_ca_topic_score_gemma":0.004904912,"domain_scores_codex":[0.9967643,0.001372465,0.00008149608,0.0001367489,0.001241018,0.0004039791],"domain_scores_gemma":[0.9967651,0.002056957,0.0002843936,0.00009362775,0.0006708059,0.0001291266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0127954,0.007728199,0.03339638,0.003480627,0.0003578851,0.002816219,0.001215968,0.4782663,0.1876158,0.02179524,0.002242889,0.2482891],"study_design_scores_gemma":[0.002340252,0.1467271,0.109749,0.0007347185,0.001496406,0.001560381,0.01134007,0.3494096,0.3087824,0.02494159,0.04227126,0.0006471991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347449,0.0006783899,0.03190346,0.0005509362,0.0000247465,0.002573705,0.0004214731,0.00006608665,0.02903641],"genre_scores_gemma":[0.967926,0.0004711045,0.02607908,0.00004866712,0.00001491303,0.0009348021,0.0002637436,0.00001003541,0.004251727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005494749,"threshold_uncertainty_score":0.02274477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0660272524490995,"score_gpt":0.2790506540504104,"score_spread":0.2130234016013108,"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."}}