{"id":"W1546446492","doi":"10.15376/biores.5.2.770-779","title":"Reducing VOC emissions in the furniture and cabinets industries: An opportunity for hybrid coating systems","year":2010,"lang":"en","type":"article","venue":"BioResources","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"FPInnovations","keywords":"Coating; Materials science; Solvent; Moisture; Pulp and paper industry; Environmental science; Chemical resistance; Composite material; Waste management; Chemical engineering; Chemistry; Organic chemistry; Engineering","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":[0.0004794517,0.0003616461,0.0004278859,0.0004350788,0.0002876014,0.0007564505,0.0003046705,0.000393573,0.001151428],"category_scores_gemma":[0.0003643661,0.0001580382,0.0003877521,0.0003016778,0.0001758493,0.000338374,0.0003663277,0.0002516725,0.000206007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002273406,"about_ca_system_score_gemma":0.0002279605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166836,"about_ca_topic_score_gemma":0.002599705,"domain_scores_codex":[0.9996142,0.00006608621,0.00003218426,0.00005881115,0.0001624615,0.00006629275],"domain_scores_gemma":[0.9997631,0.00003138947,0.00004324973,0.00002946822,0.00009308849,0.00003968803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001979942,0.00009739601,0.001224776,0.00009936737,0.00002037878,0.00002826946,0.00001973422,0.0002203011,0.9925091,0.00003026081,0.00001533499,0.005537214],"study_design_scores_gemma":[0.00004265634,0.00469874,0.01608706,0.000009946374,0.0001291166,0.0001630636,0.0000822879,0.001024089,0.9764667,0.00002357912,0.001259156,0.00001366759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968398,0.0003957336,0.002146383,0.00001400388,0.00001014366,0.00003601194,0.00003312249,0.00002555295,0.0004993875],"genre_scores_gemma":[0.9894677,0.0003205211,0.009228412,0.00002036807,0.00000639155,0.00002249272,0.0001191887,0.00001159281,0.0008033638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001166836,"threshold_uncertainty_score":0.00385195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289083615962846,"score_gpt":0.2592616738468934,"score_spread":0.2303533122506088,"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."}}