{"id":"W4372283270","doi":"10.48550/arxiv.2305.02976","title":"Mechanism of laser induced self-organized void array formation in Polydimethylsiloxane (PDMS)","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; King Khalid University; Canada Research Chairs; Compute Canada","keywords":"Polydimethylsiloxane; Void (composites); Materials science; Laser; Finite-difference time-domain method; Irradiation; Composite material; Porosity; Optics; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001072318,0.0001404085,0.0001007288,0.0001239644,0.0001957958,0.0001804349,0.0002507998,0.0001896778,0.0007028161],"category_scores_gemma":[0.0001875716,0.0001342271,0.0001605567,0.00007027343,0.0002745664,0.0003495495,0.0002388804,0.000219963,0.0001205673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226884,"about_ca_system_score_gemma":0.0002188779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002898224,"about_ca_topic_score_gemma":0.0003108282,"domain_scores_codex":[0.9999444,0.000004581858,0.000002186519,0.00001112883,0.00002289457,0.00001476559],"domain_scores_gemma":[0.9998602,0.00005246804,0.00004153458,0.00001528135,0.00001583795,0.00001468315],"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":[0.00004465926,0.0000441585,0.0007241406,0.0001608061,0.00001075782,0.0003482215,0.00009826344,0.01033045,0.9786497,0.002729929,0.0001601174,0.006698783],"study_design_scores_gemma":[0.00001277968,0.00007312233,0.001469951,0.00000540072,0.000007314488,0.0001803263,0.00004752101,0.05387669,0.942266,0.0006385386,0.001410138,0.0000121835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954325,0.0008603343,0.04183885,0.0001207505,0.00005459194,0.00004284341,0.0001126103,0.0002230449,0.002421998],"genre_scores_gemma":[0.9941654,0.0002141942,0.004890327,0.00001594408,0.000004110076,0.00001070753,0.00002479438,0.00001277885,0.0006617082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007028161,"threshold_uncertainty_score":0.002351165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116686179099478,"score_gpt":0.1802108436867644,"score_spread":0.1290439818957697,"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."}}