{"id":"W4414015662","doi":"10.11159/eecss25","title":"Proceedings of the 11th World Congress on Electrical Engineering and Computer Systems and Science","year":2025,"lang":"en","type":"paratext","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; Grantová Agentura České Republiky; National Aeronautics and Space Administration; U.S. Department of Defense; Air Force Research Laboratory; National Institutes of Health; National Science Foundation","keywords":"Computer science; Engineering physics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001902115,0.001338089,0.001155942,0.001396354,0.0008841025,0.006420332,0.001001121,0.001485389,0.2707495],"category_scores_gemma":[0.003677364,0.0002655638,0.0004556042,0.001323912,0.0008663223,0.003491254,0.002109091,0.003635638,0.2014291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220841,"about_ca_system_score_gemma":0.002104299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009288,"about_ca_topic_score_gemma":0.00221903,"domain_scores_codex":[0.9984675,0.0003249372,0.00008496815,0.0001999726,0.0007801597,0.0001424717],"domain_scores_gemma":[0.9969308,0.0006584399,0.0001385653,0.0002540726,0.001337339,0.0006808705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004835923,0.00003835686,0.0001505125,0.0001932352,0.00001021985,0.00003826668,0.00003670565,0.000156997,0.0004976815,0.003437477,0.9200114,0.07538079],"study_design_scores_gemma":[0.000003676111,0.00001610756,0.0002630796,0.0001185737,0.000003453568,0.00005822257,0.00003194349,0.0002134465,0.0001749732,0.001022427,0.9980883,0.000005727338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002749312,0.04517902,0.02553846,0.02637829,0.1189454,0.000387581,0.002942416,0.001864561,0.776015],"genre_scores_gemma":[0.005879703,0.01721641,0.003388877,0.002194587,0.0106698,0.0001711891,0.003102225,0.0005833402,0.9567938],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2707495,"threshold_uncertainty_score":0.9057472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00644785082112788,"score_gpt":0.2003824873553506,"score_spread":0.1939346365342227,"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."}}