{"id":"W3122855496","doi":"10.48550/arxiv.2101.12012","title":"Dynamic formation of spherical voids crossing linear defects","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Void (composites); Annealing (glass); Materials science; Porosity; Dislocation; Axial symmetry; Mechanics; Annihilation; Condensed matter physics; Composite material; Geometry; Physics","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":[0.0001742736,0.0003302327,0.0003300055,0.0003385489,0.0003653054,0.0005948364,0.0008347597,0.0009578257,0.001452711],"category_scores_gemma":[0.0005385515,0.000264555,0.0005830909,0.0001923403,0.0008659682,0.0005267474,0.0003223428,0.0004614186,0.0001238677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009868836,"about_ca_system_score_gemma":0.0005075451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005255545,"about_ca_topic_score_gemma":0.00236899,"domain_scores_codex":[0.999945,0.000007883025,0.000001788938,0.00001332918,0.00001073189,0.00002124547],"domain_scores_gemma":[0.9998242,0.00006133078,0.00003775479,0.00002325316,0.00002143019,0.00003193189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000389063,0.00003686182,0.001538448,0.00003863078,0.00001642652,0.0002697209,0.00005175536,0.9612265,0.01455928,0.02053675,0.0003071711,0.001379624],"study_design_scores_gemma":[0.000004813797,0.000009035998,0.0002384553,0.000001565623,0.000002843704,0.00003160331,0.000005378333,0.9968483,0.0009426805,0.001735902,0.0001745989,0.000004794234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7994863,0.0005660355,0.1853302,0.0005335603,0.00009540587,0.00009034948,0.0006040219,0.0004023646,0.01289172],"genre_scores_gemma":[0.9913269,0.0001259584,0.005851305,0.00002885184,0.000009598381,0.00004834286,0.00009610118,0.00003483862,0.002478134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005255545,"threshold_uncertainty_score":0.01044995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523753436698069,"score_gpt":0.2000915587035554,"score_spread":0.1648540243365747,"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."}}