{"id":"W4280570590","doi":"10.1080/17480272.2022.2073471","title":"Temperature-sensitive microcapsules modification treatment to reduce formaldehyde emission from wood-based panels","year":2022,"lang":"en","type":"article","venue":"Wood Material Science and Engineering","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environmental Studies Research Funds","keywords":"Formaldehyde; Materials science; Core (optical fiber); Emulsion; Composite material; Scavenger; Solvent; Chemical engineering; Urea-formaldehyde; Surface modification; Chemistry; Organic chemistry; Layer (electronics); Radical; Adhesive","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002674794,0.0001550085,0.0001488225,0.0001216889,0.0005438321,0.0002629222,0.0002309001,0.00002640711,0.00004653073],"category_scores_gemma":[0.00002156947,0.00013726,0.00002040725,0.0002878502,0.00005033669,0.0002049754,0.0001362084,0.00004637943,0.00001085219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958884,"about_ca_system_score_gemma":0.00009681594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003212066,"about_ca_topic_score_gemma":0.000001017482,"domain_scores_codex":[0.9987652,0.00002349839,0.0001543054,0.0003974131,0.0003116604,0.0003478854],"domain_scores_gemma":[0.9995377,0.00002320045,0.00003927594,0.0001986697,0.000035169,0.0001659681],"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":[0.00004697601,0.00002789175,0.00000320918,0.000004786114,0.000001878279,0.00000365243,0.0007528913,0.002620313,0.9955807,0.00003004779,0.00002360488,0.0009040427],"study_design_scores_gemma":[0.0001991899,0.0001575073,0.0005933733,0.00002380401,0.00000918668,0.000008102014,0.0001939339,0.002734085,0.9951752,0.000009726667,0.0007133301,0.0001825469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984114,0.00005186036,0.0001304562,0.0002139475,0.0007337566,0.0001569833,0.0001404013,0.0001217051,0.00003951166],"genre_scores_gemma":[0.9982786,0.000003245227,0.00135223,0.00009426707,0.0001199919,0.00007600037,0.00002496701,0.00001178431,0.00003894672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001221773,"threshold_uncertainty_score":0.5597301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080448579369169,"score_gpt":0.2208076241536743,"score_spread":0.2100031383599826,"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."}}