{"id":"W4293240473","doi":"10.21203/rs.3.rs-1979229/v1","title":" Time-resolved laser-induced incandescence on metal nanoparticles: Effect of nanoparticle aggregation and sintering","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Nanoparticle; Molybdenum; Absorption (acoustics); Sintering; Absorption cross section; Metal; Drop (telecommunication); Chemical engineering; Composite material; Metallurgy; Nanotechnology; Cross section (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001627388,0.0003040851,0.0004651198,0.0003220367,0.0002039273,0.00009427079,0.0003383419,0.0001928092,0.0003525994],"category_scores_gemma":[0.0003105766,0.0002883967,0.0001123904,0.0004030092,0.0001189879,0.0001190343,0.0006003938,0.001355325,0.00006831775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003047557,"about_ca_system_score_gemma":0.00007674457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001067798,"about_ca_topic_score_gemma":0.00003547342,"domain_scores_codex":[0.997075,0.000650357,0.0003550264,0.0004745838,0.0008516822,0.0005933354],"domain_scores_gemma":[0.9983271,0.0007739242,0.00006179803,0.0005650623,0.00008426327,0.0001878425],"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":[0.000302157,0.00006665416,0.0003981574,0.001387702,0.00009863265,0.00003941148,0.0005879404,0.01336817,0.9776946,0.00003152077,0.00009376456,0.005931318],"study_design_scores_gemma":[0.0005077665,0.001208962,0.0003572671,0.0006205544,0.00002532708,0.000003575415,0.00009058978,0.05727036,0.939496,0.00007423391,0.0001087894,0.0002365743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977248,0.0001544918,0.000005491403,0.00004682927,0.0002214852,0.0008406427,0.0000971684,0.0001954189,0.0007136491],"genre_scores_gemma":[0.9993882,0.00007895831,0.00004206034,0.000003787211,0.00006624767,0.0002200596,0.00004769195,0.00006245529,0.00009055614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0439022,"threshold_uncertainty_score":0.9999568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295178578581822,"score_gpt":0.3231425726568931,"score_spread":0.2936247147987108,"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."}}