{"id":"W3164015661","doi":"10.31399/asm.cp.itsc2021p0044","title":"Ensemble Methods for APS In-Flight Particle Temperature and Velocity Prediction Considering Torch Electrodes Ageing","year":2021,"lang":"en","type":"article","venue":"Thermal spray","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Torch; Nonlinear system; Electrode; Particle (ecology); Coating; Materials science; Process (computing); Decision tree; Computer science; Plasma torch; Particle velocity; Time of flight; Plasma; Artificial intelligence; Control theory (sociology); Mechanics; Composite material; Physics; Optics","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":[0.0002896239,0.0001215453,0.0001632113,0.00002353708,0.00008730543,0.00005456988,0.00004072817,0.0001074543,0.00004067917],"category_scores_gemma":[0.00006341856,0.0001200068,0.00003111648,0.0001353291,0.0000145289,0.0001553815,0.0000170259,0.0002132339,0.00000311883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005075206,"about_ca_system_score_gemma":0.00002466919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007893951,"about_ca_topic_score_gemma":0.0001029048,"domain_scores_codex":[0.9992432,0.00007650672,0.0001513094,0.0001765117,0.0000543876,0.0002980874],"domain_scores_gemma":[0.9996003,0.0001852497,0.00001425197,0.0001180604,0.0000244429,0.00005768382],"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":[0.0000217359,0.00001272889,0.0005090153,0.00005576391,0.00002729519,0.00001663127,0.0003975603,0.002318309,0.9917328,0.0004362932,0.00002988761,0.004442014],"study_design_scores_gemma":[0.0003491537,0.00003385926,0.003950037,0.00002794821,0.00001535798,0.00001768311,0.00004767691,0.01210624,0.9812518,0.000294322,0.001778027,0.0001278458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935631,0.0007646055,0.004054572,0.00009388614,0.0002058329,0.0001433418,0.000007242645,0.0001408765,0.001026553],"genre_scores_gemma":[0.9842046,0.00006070526,0.01541321,0.00004688418,0.0001270401,0.0000319883,0.000007317751,0.00002436986,0.0000838881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01135864,"threshold_uncertainty_score":0.4893734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418102572770126,"score_gpt":0.2739015275195543,"score_spread":0.2597205017918531,"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."}}