{"id":"W2982236972","doi":"10.1088/1757-899x/609/6/062016","title":"Microstructure and blowing agent concentration analysis in accelerated aged polyurethane &amp; polyisocyanurate insulation","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Aerogels and thermal insulation","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Blowing agent; Materials science; Polyurethane; Microstructure; Composite material; Polymer; Thermal conductivity; Elongation; Thermal insulation; Ultimate tensile strength; Layer (electronics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002353403,0.0001493594,0.0002232182,0.0001073323,0.00009125436,0.0003904231,0.00009275184,0.00008421329,0.0003203777],"category_scores_gemma":[0.00003736169,0.0001429108,0.00001360937,0.0004599588,0.00009124928,0.0007929936,0.00005285279,0.00007508566,0.000002791556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004977584,"about_ca_system_score_gemma":0.00004517465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368146,"about_ca_topic_score_gemma":0.00002708784,"domain_scores_codex":[0.9990268,0.000009799327,0.0002413708,0.0002952795,0.0001759392,0.0002508222],"domain_scores_gemma":[0.9996324,0.00001176903,0.00007772654,0.0001346174,0.00007761537,0.00006590231],"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":[0.00002623306,0.000003131924,0.005613744,0.00005030598,0.00001404532,0.000001192254,0.0007208072,0.001539727,0.9914415,0.0003258578,8.637649e-8,0.0002633261],"study_design_scores_gemma":[0.0002602757,0.000009741583,0.1991692,0.0000533329,0.00002497044,0.000006559989,0.0001660186,0.006305476,0.7937552,0.00003707744,0.00002544898,0.0001867037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999435,0.00006168229,0.00008125452,0.00003901931,0.0001377854,0.00007949227,0.00001621424,0.00004273218,0.0001067999],"genre_scores_gemma":[0.9995876,0.00005621593,0.0001971231,0.00001499346,0.00002710709,0.000004567072,0.00004909543,0.000008172306,0.00005510136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1976863,"threshold_uncertainty_score":0.5827731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636156590439515,"score_gpt":0.228468611125082,"score_spread":0.2121070452206868,"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."}}