{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008912129,0.004425881,0.00397253,0.005048822,0.003669607,0.01278683,0.004549937,0.01884549,0.08111402],"category_scores_gemma":[0.0304712,0.001297463,0.002648937,0.002181258,0.002100317,0.004056657,0.002682683,0.01297588,0.0513209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003688217,"about_ca_system_score_gemma":0.003655247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797701,"about_ca_topic_score_gemma":0.005174273,"domain_scores_codex":[0.9933119,0.001078369,0.0006382651,0.0005706489,0.00384623,0.0005546256],"domain_scores_gemma":[0.9799746,0.005319664,0.001574896,0.0006791604,0.008488675,0.003963074],"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":[0.00002177808,0.000006005564,0.000007515271,0.00006621368,0.000007333945,0.00004990979,0.000003252534,0.00001209281,0.00002136384,0.0001287854,0.9976283,0.002047665],"study_design_scores_gemma":[0.00006540876,0.0000188142,0.0001418129,0.00026863,0.00002802172,0.0001001712,0.00002078758,0.0001249922,0.00008795779,0.0009372621,0.9981936,0.00001259189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003024055,0.0016891,0.00009562285,0.02410677,0.9695075,0.00003140962,0.0001162546,0.00007609706,0.004347113],"genre_scores_gemma":[0.0006136215,0.002182455,0.0001394308,0.01905954,0.9375038,0.00004335475,0.0001452508,0.0001229287,0.04018971],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08111402,"threshold_uncertainty_score":0.2713534,"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."}}