{"id":"W1998543917","doi":"10.3390/su2020624","title":"Feasibility Analysis of Sustainability-Based Measures to Reduce VOC Emissions in Office Partition Manufacturing","year":2010,"lang":"en","type":"article","venue":"Sustainability","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Pollution prevention; Process (computing); Baseline (sea); Environmental economics; Furniture industry; Waste management; Engineering; Manufacturing engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004669886,0.0007082097,0.0004440882,0.001592566,0.0006115215,0.001115951,0.0006328892,0.0008660083,0.002789165],"category_scores_gemma":[0.006367548,0.0003465758,0.0008415875,0.0005572857,0.0006684567,0.0007440925,0.0008688842,0.0004528113,0.000172174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143378,"about_ca_system_score_gemma":0.002221546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393274,"about_ca_topic_score_gemma":0.001888635,"domain_scores_codex":[0.9963252,0.002109188,0.00007574337,0.0001100079,0.001096729,0.0002831083],"domain_scores_gemma":[0.9963282,0.002388195,0.0003761322,0.0001266868,0.0006623385,0.000118374],"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":[0.004692927,0.002963575,0.01347022,0.001260389,0.0001677378,0.00109396,0.0003759129,0.7186888,0.09955395,0.02807374,0.0007380613,0.1289208],"study_design_scores_gemma":[0.00107745,0.04761008,0.03907408,0.0003686575,0.0005142506,0.000647101,0.003214353,0.6573732,0.2000582,0.03222422,0.01754519,0.0002931375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775676,0.0005227725,0.09876218,0.0004497852,0.00002701756,0.001341641,0.0001382367,0.00008352265,0.02110732],"genre_scores_gemma":[0.9718212,0.0001989403,0.02623857,0.00002619687,0.000006675613,0.0004140613,0.00007807483,0.000007558576,0.001208631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004669886,"threshold_uncertainty_score":0.02469701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779939194548712,"score_gpt":0.3026739420211856,"score_spread":0.2848745500756985,"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."}}