{"id":"W4292348323","doi":"10.1109/eeeic/icpseurope54979.2022.9854601","title":"Index","year":2022,"lang":"en","type":"paratext","venue":"2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&amp;CPS Europe)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001068573,0.001453928,0.001486549,0.0009777381,0.0005809279,0.0007614033,0.001060295,0.0006753435,0.005656633],"category_scores_gemma":[0.0002095841,0.001458369,0.0002050782,0.0007807629,0.0002702456,0.000259066,0.000655964,0.004346448,0.002937131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495479,"about_ca_system_score_gemma":0.0001808398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003747127,"about_ca_topic_score_gemma":0.000009400066,"domain_scores_codex":[0.9927526,0.0008632549,0.001431539,0.001905892,0.001934931,0.001111756],"domain_scores_gemma":[0.9974092,0.0003763935,0.0006718516,0.0007091374,0.0001188239,0.0007146231],"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":[0.002747375,0.001108911,0.001144673,0.0002234591,0.001971762,0.0003546147,0.0006703841,0.01572011,0.01563429,0.004546619,0.9426594,0.01321845],"study_design_scores_gemma":[0.002072408,0.000750527,0.0005017853,0.0002401523,0.0001558404,0.0002032575,0.00003455289,0.005639696,0.00003648784,0.000006143361,0.9887877,0.001571498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5848404,0.02133039,0.005309125,0.003516942,0.1068483,0.008467737,0.01151365,0.001406268,0.2567672],"genre_scores_gemma":[0.6629733,0.02182195,0.00002252355,0.000582133,0.005397469,0.0005100474,0.001944388,0.0008695314,0.3058787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1014509,"threshold_uncertainty_score":0.999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0638897977992802,"score_gpt":0.2581594196346713,"score_spread":0.1942696218353911,"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."}}