{"id":"W4386919946","doi":"10.1109/icaiss58487.2023.10250749","title":"Artificial Intelligence for Development of Variable Power Biomedical Electronics Gadgets Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Electronics; Power electronics; Variable (mathematics); Computer science; Power (physics); Electrical engineering; Engineering; Voltage","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":[0.0005749788,0.0003032994,0.0001898593,0.0007608131,0.0003332858,0.001337429,0.0005818747,0.000749958,0.004747448],"category_scores_gemma":[0.0009677149,0.0001579927,0.0003224857,0.0005941454,0.0004537427,0.0009400396,0.0006908249,0.0007097759,0.001726125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441731,"about_ca_system_score_gemma":0.0005909878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002515062,"about_ca_topic_score_gemma":0.0004833849,"domain_scores_codex":[0.9996972,0.00006662403,0.00001656598,0.00003724112,0.0001603253,0.00002209774],"domain_scores_gemma":[0.9997869,0.00007956746,0.00001853742,0.00002064039,0.00007639992,0.00001787053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006229743,0.00009152491,0.001035125,0.0007921132,0.00002830026,0.0004798857,0.0005770283,0.009531179,0.0295331,0.2919935,0.0172519,0.6486241],"study_design_scores_gemma":[0.000019577,0.0002467498,0.00218321,0.0006937198,0.00004375651,0.001258264,0.000380812,0.04319344,0.02727521,0.09735072,0.8273176,0.00003700021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03446326,0.04810883,0.4198748,0.008482792,0.00143945,0.0002993018,0.0001405144,0.0009044072,0.4862867],"genre_scores_gemma":[0.4041215,0.05515644,0.3759651,0.001739706,0.0005083201,0.0003230723,0.0002913128,0.0002104741,0.161684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004747448,"threshold_uncertainty_score":0.01588178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995225608399267,"score_gpt":0.2974077686695984,"score_spread":0.2674555125856058,"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."}}