{"id":"W4404666228","doi":"10.1016/j.microrel.2024.115554","title":"Effects of humidity, ionic contaminations and temperature on the degradation of silicone-based sealing materials used in microelectronics","year":2024,"lang":"en","type":"article","venue":"Microelectronics Reliability","topic":"Silicone and Siloxane Chemistry","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Technische Universiteit Delft; Stichting voor Fundamenteel Onderzoek der Materie","keywords":"Microelectronics; Degradation (telecommunications); Humidity; Silicone; Materials science; Ionic bonding; Composite material; Process engineering; Chemical engineering; Nanotechnology; Electrical engineering; Chemistry; Engineering; Organic chemistry; Thermodynamics; Ion","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":[0.001330009,0.0002246259,0.0003953287,0.0001026623,0.00008924975,0.00008665616,0.0002586483,0.0001934771,0.00006864566],"category_scores_gemma":[0.0003813252,0.0001725453,0.00008420927,0.0003727159,0.0002308878,0.00009821213,0.0000524384,0.0003455812,0.000004584212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048751,"about_ca_system_score_gemma":0.0005052791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001380113,"about_ca_topic_score_gemma":0.00009849168,"domain_scores_codex":[0.9980479,0.0002929442,0.000553207,0.0004823302,0.0002327014,0.00039084],"domain_scores_gemma":[0.9979349,0.001336114,0.0001435681,0.0004273892,0.0001191198,0.00003892128],"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":[0.00006591192,0.0001498311,0.0002985186,0.0009616408,0.0000108885,0.000001982061,0.0001326687,0.00010289,0.9966329,0.001500946,0.00006786501,0.00007390434],"study_design_scores_gemma":[0.0004235745,0.0001941268,0.00101062,0.0002398244,0.00003953107,0.000003256632,0.00003447583,0.0002210182,0.9969471,0.0006802061,0.00005985386,0.0001464341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959587,0.002588228,0.00002469,0.0005690803,0.0001536064,0.000585036,0.00006049754,0.00004659518,0.00001360775],"genre_scores_gemma":[0.9995562,0.0001303203,0.00005771855,0.00006011845,0.0000222106,0.00005664511,0.00003830617,0.00002214562,0.00005628305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003597593,"threshold_uncertainty_score":0.7036195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006328577349669021,"score_gpt":0.2327460703352462,"score_spread":0.2264174929855772,"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."}}