{"id":"W3023731733","doi":"10.3390/app10093018","title":"Developing a Universal Mirror–mirror Laser Mapping System for Single Event Effect Research","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Laser; Computer science; Sensitivity (control systems); Attenuator (electronics); Amplifier; Software; Optics; Computer hardware; Electronic engineering; Engineering; Physics; Bandwidth (computing); 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":[0.0009392187,0.0004724696,0.0004817958,0.0006171736,0.0002837908,0.0005117672,0.001471148,0.0005494967,0.003983312],"category_scores_gemma":[0.001321501,0.0003724885,0.0003681349,0.0003599329,0.00024174,0.0008974796,0.0005281176,0.0004293116,0.001051622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004344781,"about_ca_system_score_gemma":0.0007078825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005495132,"about_ca_topic_score_gemma":0.0006547094,"domain_scores_codex":[0.9994283,0.00006664462,0.0000398361,0.0001461588,0.0002720622,0.00004697503],"domain_scores_gemma":[0.9989958,0.0002584379,0.0001063862,0.0002675279,0.0003160483,0.00005576248],"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":[0.0002129865,0.0001474553,0.002253639,0.0002247,0.00005219772,0.0002480747,0.0001695017,0.004333075,0.8372566,0.003095698,0.001539897,0.1504662],"study_design_scores_gemma":[0.00007768055,0.0007797926,0.00428288,0.00002900659,0.00006759831,0.0008651767,0.0000443414,0.1056006,0.8682967,0.0009354862,0.01893174,0.00008892913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06934703,0.0001829426,0.9157495,0.00009269151,0.0000955068,0.0005886484,0.0001994766,0.01182219,0.001922058],"genre_scores_gemma":[0.2147234,0.0001113196,0.7813402,0.00008058135,0.00003169388,0.0005736774,0.0001829475,0.0002859764,0.002670167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003983312,"threshold_uncertainty_score":0.01332551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07154039778493125,"score_gpt":0.3045602521916314,"score_spread":0.2330198544067001,"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."}}