{"id":"W3106999109","doi":"10.3390/mi11121047","title":"Mobile In-Ear Power Sensor for Jaw Joint Activity","year":2020,"lang":"en","type":"article","venue":"Micromachines","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Wearable computer; Computer science; Power (physics); Acoustics; Host (biology); Simulation; Real-time computing; Embedded system","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":[0.00004500512,0.0001448311,0.0002174741,0.00003110384,0.00003046454,0.00002355382,0.00006512849,0.00005075125,0.0000401289],"category_scores_gemma":[0.00005076041,0.0001372476,0.00005259346,0.00007727744,0.00001488606,0.00008736734,0.00002077702,0.00007303346,0.00002857147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001969646,"about_ca_system_score_gemma":0.000003671605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002457378,"about_ca_topic_score_gemma":0.00000848214,"domain_scores_codex":[0.9994248,0.00001463298,0.0001480537,0.0001633605,0.00004105888,0.0002080504],"domain_scores_gemma":[0.9997706,0.00003181495,0.00001937349,0.0001027913,0.0000130149,0.00006244785],"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":[0.00002134508,0.00001092082,0.0001161531,0.00007543866,0.000008840086,0.000005680456,0.000310246,0.03718231,0.961015,0.00001589076,0.0004058709,0.0008322281],"study_design_scores_gemma":[0.000680449,0.0001177012,0.002877436,0.00002606754,0.000007958773,0.00000840039,0.00004195175,0.01183901,0.9560447,0.0001416661,0.02785892,0.0003557065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947088,0.0001002657,0.00361554,0.00006329825,0.0002477938,0.0001680285,0.00004850395,0.0003081581,0.0007395476],"genre_scores_gemma":[0.9952173,0.0000143005,0.004383344,0.000102285,0.00009450426,0.0000342903,0.000008812773,0.00004610156,0.00009907247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02745305,"threshold_uncertainty_score":0.5596796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811236837905898,"score_gpt":0.2326170294955723,"score_spread":0.2145046611165133,"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."}}