{"id":"W3213445823","doi":"10.1364/dh.2021.dth4f.3","title":"Ongoing challenges with Edge Machine Learning for Radiation Instrumentation","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Instrumentation (computer programming); Computer science; Detector; Enhanced Data Rates for GSM Evolution; Particle detector; Embedded system; Artificial intelligence; Operating system; Telecommunications","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":[0.02062265,0.001079194,0.001397225,0.001219905,0.001413345,0.004772096,0.00515091,0.004337814,0.01225933],"category_scores_gemma":[0.03396685,0.0006080872,0.0008038289,0.001496043,0.003629906,0.01475548,0.004101,0.008455156,0.009535596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878631,"about_ca_system_score_gemma":0.002772703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003498204,"about_ca_topic_score_gemma":0.004529294,"domain_scores_codex":[0.9939786,0.001924427,0.00025661,0.001005066,0.002354482,0.0004808429],"domain_scores_gemma":[0.9565462,0.02652876,0.0006485734,0.002724113,0.01144406,0.002108268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003369996,0.0002916515,0.003569758,0.001230763,0.00009661961,0.0001101309,0.0003045862,0.02150156,0.002594121,0.06624304,0.1711876,0.7325332],"study_design_scores_gemma":[0.00005847559,0.0002700402,0.003306664,0.001108959,0.00003974139,0.0002907648,0.001181965,0.1319605,0.007158457,0.3514422,0.5029776,0.0002047319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02582823,0.1403769,0.3226117,0.4544511,0.007414656,0.0001503709,0.002078106,0.006991287,0.04009756],"genre_scores_gemma":[0.2479166,0.08830909,0.5579925,0.04827493,0.01288662,0.0005819962,0.005160412,0.002775857,0.03610195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02062265,"threshold_uncertainty_score":0.1090643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009806747520604097,"score_gpt":0.2296251976970736,"score_spread":0.2198184501764695,"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."}}