{"id":"W4395067444","doi":"10.1299/jsmecmd.2023.36.os-1003","title":"Cure Shrinkage Stress Analysis of Ultraviolet Curable Adhesive by Viscoelastic Analysis","year":2023,"lang":"en","type":"article","venue":"Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu","topic":"Photopolymerization techniques and applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Shrinkage; Viscoelasticity; Adhesive; Materials science; Stress (linguistics); Composite material; Ultraviolet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002088534,0.0005280134,0.0002802548,0.0008029274,0.0001384021,0.0002479061,0.000340806,0.0002309654,0.005718498],"category_scores_gemma":[0.0004491722,0.0002203761,0.000253633,0.0004858968,0.000117025,0.0002959766,0.0002333569,0.0003329472,0.0006617003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691826,"about_ca_system_score_gemma":0.0002299882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005347041,"about_ca_topic_score_gemma":0.0007247815,"domain_scores_codex":[0.9998968,0.00000609177,0.000004937953,0.00002374668,0.00005841714,0.00001014903],"domain_scores_gemma":[0.9998378,0.00006193432,0.00002961016,0.00001599693,0.00004876873,0.000005967511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005556526,0.00004506752,0.001428833,0.0003247923,0.00001672453,0.0001782426,0.0002394921,0.01518357,0.8867085,0.001521394,0.0009369875,0.09336088],"study_design_scores_gemma":[0.00001178623,0.0001873321,0.008371281,0.00004702857,0.00002963244,0.0002638986,0.000102468,0.3227001,0.6591963,0.0007374506,0.008302869,0.00004975366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4584738,0.0008454456,0.5268076,0.00009061796,0.00006162305,0.00008010188,0.0009654565,0.007018472,0.005656899],"genre_scores_gemma":[0.8440571,0.00107011,0.1466928,0.00003578488,0.00002139498,0.000154333,0.0006205429,0.0008461634,0.006501696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005718498,"threshold_uncertainty_score":0.01913029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008256897138118202,"score_gpt":0.2578933771818682,"score_spread":0.24963648004375,"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."}}