{"id":"W4399100348","doi":"10.54254/2753-8818/36/20240515","title":"Key parameters and major components in wearable electronics","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wearable computer; Wearable technology; Electronics; Key (lock); Computer science; Power management; Health management system; Human–computer interaction; Scale (ratio); Risk analysis (engineering); Systems engineering; Data science; Embedded system; Computer security; Engineering; Power (physics); Electrical engineering; Medicine","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":[0.0001865321,0.00006567998,0.00007590419,0.00004959496,0.00004328886,0.00009055719,0.00006292939,0.00002141215,0.000008907895],"category_scores_gemma":[0.00003932383,0.00004738755,0.000006435277,0.0001958559,0.0005611939,0.0001484981,0.00002969605,0.0001124823,0.00000426415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000021101,"about_ca_system_score_gemma":0.000006262172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006596154,"about_ca_topic_score_gemma":0.000001798534,"domain_scores_codex":[0.9994548,0.000009061674,0.00007120446,0.0001431447,0.00008342533,0.0002383866],"domain_scores_gemma":[0.9998178,0.00007012518,0.000002538239,0.00004309091,0.000004862294,0.00006150809],"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":[0.00001209237,0.000003036457,0.00004115857,0.00004603226,0.000002583997,0.00001263195,0.0001106941,0.0008171698,0.4260425,0.5638365,0.000004269172,0.00907143],"study_design_scores_gemma":[0.0003301375,0.00008231294,0.005391677,0.0003236414,0.00001244099,0.0001045508,0.00003442283,0.4873923,0.1580618,0.3468083,0.0009961515,0.0004622717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959742,0.002521709,0.0001133715,0.00008232837,0.0001965254,0.00002884629,9.574807e-7,0.00009201647,0.000990065],"genre_scores_gemma":[0.9987698,0.000336792,0.0008281114,0.00002215515,0.0000110242,0.00000133615,4.137827e-7,0.000005088923,0.00002531379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865752,"threshold_uncertainty_score":0.2067742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006725865180411224,"score_gpt":0.2200273683470522,"score_spread":0.213301503166641,"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."}}