{"id":"W2610671219","doi":"10.1117/12.2262949","title":"Wireless, battery-operated data acquisition system for mobile spectrometry applications and (potentially) for the Internet of things","year":2017,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Wireless; Internet of Things; Battery (electricity); The Internet; Computer network; Embedded system; Telecommunications; World Wide Web","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":[0.0007096297,0.0002274367,0.000340641,0.00006484671,0.0001927515,0.0002053164,0.002037154,0.0001575396,0.000003636229],"category_scores_gemma":[0.000137256,0.0001805667,0.0002799961,0.0001178234,0.0002143834,0.0005300905,0.0003514392,0.0001939162,3.459899e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007493792,"about_ca_system_score_gemma":0.00001579219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009215898,"about_ca_topic_score_gemma":2.366905e-7,"domain_scores_codex":[0.9986106,2.639181e-8,0.0005656899,0.0002923955,0.0002844866,0.0002467962],"domain_scores_gemma":[0.9981722,0.0002114791,0.0003721466,0.0002625164,0.0009181684,0.00006350275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001189083,0.00008508132,0.0001135901,0.002309859,0.001105196,2.467084e-8,0.0002118991,0.000532294,0.6437467,0.3449372,0.003916953,0.002922253],"study_design_scores_gemma":[0.001365224,0.0001811214,0.0003083297,0.0004675426,0.0003606933,0.00001158141,0.0008537916,0.866797,0.1217986,0.0003668451,0.007168043,0.0003212789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600802,0.0006077977,0.03536005,0.0008208748,0.0002385785,0.002031153,0.0001971736,0.0001110253,0.0005531163],"genre_scores_gemma":[0.9001276,0.0003388923,0.09811974,0.00003814276,0.000254053,0.0009127379,0.00007386494,0.00006833751,0.00006666936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8662647,"threshold_uncertainty_score":0.7363296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309304592606891,"score_gpt":0.2347840109470311,"score_spread":0.2216909650209622,"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."}}