{"id":"W7002397054","doi":"","title":"New AI method analyzes Swiss fleet consumption","year":2022,"lang":"en","type":"article","venue":"Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); EMPA; Energy consumption; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003033396,0.0008759742,0.0002706541,0.003383005,0.0003274672,0.0008179534,0.000500333,0.0005429917,0.008809427],"category_scores_gemma":[0.001453494,0.0001806482,0.0008629017,0.003243419,0.0001719828,0.0006680536,0.0003282771,0.0003959925,0.002998777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059355,"about_ca_system_score_gemma":0.0004971658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0626609,"about_ca_topic_score_gemma":0.05178845,"domain_scores_codex":[0.9997416,0.00004069379,0.00001130103,0.00008622173,0.00008287127,0.00003734999],"domain_scores_gemma":[0.9995669,0.0001711497,0.00005700026,0.00006430801,0.0001165879,0.00002424268],"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":[0.0009392217,0.000396226,0.2108319,0.0004690959,0.0009551511,0.0008644964,0.0002981112,0.39094,0.007587468,0.01786902,0.06914717,0.2997022],"study_design_scores_gemma":[0.00002864526,0.00007578279,0.06372543,0.00003717263,0.00007428478,0.0001838121,0.0001898898,0.9087617,0.002721914,0.004364998,0.01979918,0.00003711638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6439068,0.001660016,0.1897278,0.001559707,0.0004255011,0.0002336843,0.08609276,0.005676001,0.07071774],"genre_scores_gemma":[0.8744811,0.0005306093,0.04261249,0.0001221514,0.0001270216,0.0002719405,0.0529377,0.0002935206,0.02862347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0626609,"threshold_uncertainty_score":0.1245924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747447396317307,"score_gpt":0.251174760721645,"score_spread":0.2337002867584719,"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."}}