{"id":"W4212803703","doi":"10.1364/ao.445798","title":"Potential of edge machine learning for instrumentation","year":2022,"lang":"en","type":"article","venue":"Applied Optics","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique","funders":"Canada Research Chairs","keywords":"Instrumentation (computer programming); Software; Detector; Data processing; Enhanced Data Rates for GSM Evolution; Data acquisition; Edge detection; Data compression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005773104,0.00004268258,0.00006587517,0.00004899914,0.0001648926,0.000008560431,0.00006340026,0.00001093268,0.0001925276],"category_scores_gemma":[0.00000200413,0.00004699372,0.00003630154,0.00009406054,0.00001583613,0.000016928,0.00003854355,0.00008894885,0.000002188627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001172561,"about_ca_system_score_gemma":0.00001007269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005569696,"about_ca_topic_score_gemma":1.516342e-7,"domain_scores_codex":[0.9996612,0.000005733857,0.0001123955,0.00007703865,0.00007600593,0.00006758914],"domain_scores_gemma":[0.9998059,0.00001412029,0.00009144976,0.00006358272,0.00001454064,0.00001041316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001024848,0.0001549727,0.01246865,0.00002106326,0.000124567,1.624741e-7,0.000463253,0.3617291,0.03393963,0.3768662,0.0005906223,0.2135393],"study_design_scores_gemma":[0.005829032,0.0007065533,0.004608992,0.000003564865,0.0001428667,0.000002674553,0.01885364,0.6607181,0.1844353,0.04060053,0.08335721,0.0007415684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699814,0.000007569821,0.02581142,0.00008516321,0.0001712845,0.0002251426,0.00002938914,0.00006387787,0.003624769],"genre_scores_gemma":[0.9975892,7.796642e-7,0.002055841,0.00001155551,0.00003429496,0.00007091688,0.00002393473,0.00000685229,0.0002065788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3362657,"threshold_uncertainty_score":0.2108043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00781635538944041,"score_gpt":0.2223378300349888,"score_spread":0.2145214746455484,"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."}}