{"id":"W4386805265","doi":"10.1016/j.energy.2023.129115","title":"Editorial: VSI EGET2022","year":2023,"lang":"en","type":"editorial","venue":"Energy","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Engineering","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":["metaresearch","metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008805622,0.0004517799,0.0008876584,0.0007197015,0.000306,0.003258781,0.008919938,0.002989558,0.0006610196],"category_scores_gemma":[0.119018,0.0003446882,0.0003409728,0.002062,0.0001231126,0.001238109,0.001815557,0.002291678,0.002631126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770572,"about_ca_system_score_gemma":0.001159317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352226,"about_ca_topic_score_gemma":0.0003013801,"domain_scores_codex":[0.9854796,0.0005049945,0.001232144,0.001485884,0.01057832,0.0007190938],"domain_scores_gemma":[0.9744814,0.02101126,0.0009493848,0.001799649,0.001373682,0.0003845979],"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":[0.00001651736,0.00001069878,0.000004804155,0.000002640048,0.00002665423,0.00001279364,0.00004862711,0.00004028996,0.000001511862,0.0008054631,0.9910477,0.007982287],"study_design_scores_gemma":[0.0002123087,0.00002498968,0.000002792236,0.00003258809,0.0000161137,2.003399e-7,0.00006849496,0.00003425772,0.000009498316,0.02418744,0.974999,0.0004123316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000001790221,0.0002642677,0.0002048598,0.0006780977,0.9717358,0.0000435957,0.0002940469,0.0003592005,0.02641828],"genre_scores_gemma":[0.00001301845,0.0002199893,0.00002520055,0.000104736,0.8059557,0.00004452336,0.0004129231,0.00009664337,0.1931273],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.166709,"threshold_uncertainty_score":0.9999005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04348206316839826,"score_gpt":0.3883992697254933,"score_spread":0.344917206557095,"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."}}