{"id":"W3135456222","doi":"10.1039/d0cp05520d","title":"Differential hysteresis scanning of non-templated monomodal amorphous aerogels","year":2021,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Aerogels and thermal insulation","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"Division of Civil, Mechanical and Manufacturing Innovation","keywords":"Hysteresis; Amorphous solid; Materials science; Differential scanning calorimetry; Differential (mechanical device); Chemical engineering; Nanotechnology; Chemistry; Crystallography; Physics; Thermodynamics; Condensed matter physics; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00001968741,0.0004051567,0.0006505384,0.0000060024,0.00007386458,0.00004391112,0.0003263345,0.0002239849,0.0006026524],"category_scores_gemma":[0.00004190237,0.0004242808,0.0004313023,0.0002463586,0.0001879027,0.0001422736,0.0002570501,0.0004589134,0.00002614947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009677521,"about_ca_system_score_gemma":0.00008796612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002060014,"about_ca_topic_score_gemma":1.187363e-7,"domain_scores_codex":[0.9980202,0.00001114369,0.0004621152,0.0006045964,0.0004411089,0.0004608082],"domain_scores_gemma":[0.9985649,0.0001180437,0.0002750618,0.0005969063,0.0002203057,0.0002247993],"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":[0.0000724453,0.0007791131,0.0001892213,0.0004813306,0.00015026,0.00002651548,0.0001356668,0.0001855077,0.996071,0.0000711016,0.00005045036,0.001787402],"study_design_scores_gemma":[0.000815114,0.000006459787,0.00005286605,0.0001296955,0.0001110432,0.00001156855,0.00004629952,0.01318465,0.983641,0.001541762,0.00004126361,0.0004183221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899787,0.000029488,0.0004420425,0.00002303962,0.00003104869,0.0000419967,0.0001018749,0.0001087762,0.009243017],"genre_scores_gemma":[0.997968,0.000003000197,0.0001230237,0.00001630777,0.001044257,0.00001947913,0.0004542671,0.00007184871,0.0002998507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01299914,"threshold_uncertainty_score":0.9998209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474031170530498,"score_gpt":0.2431653532059263,"score_spread":0.2284250415006213,"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."}}