{"id":"W4392941447","doi":"10.1109/icses60034.2023.10465407","title":"Analysis and Realization of a Manitoba Converter for Portable Medical Devices","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Realization (probability); Computer science; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001977284,0.0004406023,0.0003022919,0.000453281,0.0005952283,0.001336842,0.0008564889,0.0004747393,0.007806767],"category_scores_gemma":[0.0003514862,0.0001993015,0.0003957078,0.0004902778,0.0002056749,0.0006029774,0.0002943669,0.0005337137,0.002928115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268737,"about_ca_system_score_gemma":0.001051171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007721953,"about_ca_topic_score_gemma":0.008901463,"domain_scores_codex":[0.9997354,0.00002389208,0.000009792673,0.00004159353,0.0001608072,0.00002857171],"domain_scores_gemma":[0.9998547,0.00001194477,0.000006409631,0.00001520785,0.0001022669,0.000009485405],"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":[0.0005298246,0.0004259224,0.007493461,0.001057104,0.000179816,0.003373844,0.001029065,0.03914948,0.4974104,0.1086411,0.01457194,0.326138],"study_design_scores_gemma":[0.00009733262,0.001090004,0.00775921,0.0002200832,0.0001773684,0.00279858,0.0007682843,0.3268054,0.3722287,0.007158747,0.2808025,0.00009389757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2510712,0.004352847,0.4578739,0.00141978,0.0006089059,0.0009538047,0.0005226603,0.002485512,0.2807113],"genre_scores_gemma":[0.8462224,0.001624305,0.07146089,0.0001937683,0.00004877106,0.0001751613,0.0004815294,0.00009087821,0.07970228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007806767,"threshold_uncertainty_score":0.02611625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963942104266203,"score_gpt":0.2917978375566385,"score_spread":0.2721584165139765,"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."}}