{"id":"W4300781744","doi":"10.31399/asm.cp.itsc2001p0723","title":"Significant Increase in the Sensitivity of In-Flight Particle Detector Through Improvements and Innovation","year":2001,"lang":"en","type":"article","venue":"Thermal spray","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Pyrometer; Emissivity; Detector; Materials science; Sensitivity (control systems); Wavelength; Particle (ecology); Temperature measurement; Optics; Optoelectronics; Engineering; Electronic engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005238223,0.00006507844,0.00008053659,0.000001361068,0.00002951814,0.000007127511,0.00006248654,0.00002668252,0.0002055002],"category_scores_gemma":[0.00002532855,0.00004353596,0.000009344095,0.0004523915,0.0001031533,0.0001266539,0.00005436632,0.00006607944,0.00001414221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002980477,"about_ca_system_score_gemma":0.000003919401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003183847,"about_ca_topic_score_gemma":0.0006206292,"domain_scores_codex":[0.9993215,0.0001056926,0.0001618309,0.0001225352,0.0001379128,0.0001505715],"domain_scores_gemma":[0.9997587,0.0000484611,0.00005704512,0.0001182343,0.000003407543,0.00001410444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003462381,0.00007653231,0.5325254,0.000001476042,0.000001191106,0.00001246864,0.000649023,0.00009310204,0.4606315,0.0001377555,0.000004461539,0.005832569],"study_design_scores_gemma":[0.0003141987,0.00005514575,0.9580883,0.000004499822,0.000002658229,0.000002098562,0.0002129102,0.0005508056,0.04040724,0.0001162778,0.0001830696,0.00006276387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974336,0.000008755594,0.0001085286,0.0001422351,0.00001204018,0.0001609901,0.000001077649,0.000005087464,0.00212768],"genre_scores_gemma":[0.999483,0.000006945782,0.0001359757,0.0003093926,0.00001128248,0.000008651828,5.519186e-7,0.000004307976,0.00003990547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.425563,"threshold_uncertainty_score":0.4813046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353883009441882,"score_gpt":0.2335094545282164,"score_spread":0.2199706244337976,"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."}}