{"id":"W4392930734","doi":"10.1109/icjece.2024.3359477","title":"Table of Contents","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Database; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005083523,0.00007102737,0.0001311623,0.0001937789,0.000009933075,0.00004200466,0.00006591294,0.00003673934,0.000008349899],"category_scores_gemma":[0.00001181173,0.00006774691,0.00003864461,0.0002352049,0.000008501051,0.0001012114,0.00000338775,0.0001692337,0.000001436953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005404477,"about_ca_system_score_gemma":0.00005562826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005237118,"about_ca_topic_score_gemma":0.00001785557,"domain_scores_codex":[0.999543,0.000002693796,0.0001802039,0.00004529243,0.00005578719,0.0001730452],"domain_scores_gemma":[0.9996561,0.00003288,0.00001017375,0.00003295164,0.00004075095,0.0002271406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000156931,0.00002687265,0.002981643,0.001041791,0.0008748533,0.001321768,0.0004797043,0.7681906,0.02326314,0.02368553,0.03836026,0.1397582],"study_design_scores_gemma":[0.0001083542,0.0001239971,0.002069948,0.0001424193,0.00001757359,0.0002142918,0.000001163462,0.9762151,0.001529582,0.00004550239,0.01943183,0.0001002149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4124273,0.01984935,0.5656813,0.00007153807,0.001616874,0.00005732704,0.00002086784,0.00006599729,0.0002095146],"genre_scores_gemma":[0.9989084,0.00003861736,0.0008866666,0.000006511617,0.0001404333,3.128781e-7,0.000001167898,0.00001106337,0.000006831728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5864811,"threshold_uncertainty_score":0.2762639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004210598853391488,"score_gpt":0.1582234146948855,"score_spread":0.1540128158414941,"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."}}