{"id":"W4298407522","doi":"","title":"Thermal and airflow modelling within unloaded refrigerating trucks","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Air Liquide (Canada)","funders":"","keywords":"Truck; Airflow; Environmental science; Thermal; Automotive engineering; Engineering; Mechanics; Mechanical engineering; Meteorology; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.002060934,0.0003373254,0.0003411149,0.0001868101,0.0003448384,0.000547231,0.0005574803,0.0003990094,0.00004952681],"category_scores_gemma":[0.0003339277,0.0003544395,0.00009944859,0.000136262,0.0001660166,0.0001338453,0.0004506131,0.0008630083,0.00002168858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006911065,"about_ca_system_score_gemma":0.00005951977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000082675,"about_ca_topic_score_gemma":0.0001340494,"domain_scores_codex":[0.9975495,0.0009368492,0.000501448,0.0005024057,0.0002365982,0.0002732032],"domain_scores_gemma":[0.997785,0.0004361484,0.0002161267,0.0009823643,0.0004828442,0.00009750137],"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":[0.000007013707,0.0001015798,0.0004515232,0.0005394791,0.0001813002,0.000006732566,0.01258407,0.8099159,0.01807499,0.1158135,0.0009033417,0.04142062],"study_design_scores_gemma":[0.0002259004,2.265856e-7,0.0001245803,0.0008897025,0.00001975129,0.000004193447,0.00008102303,0.9341079,0.05743072,0.00568034,0.001050171,0.0003855246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4286015,0.0006669493,0.5478582,0.00172544,0.0002118458,0.0002509567,0.00002005194,0.001548994,0.01911614],"genre_scores_gemma":[0.879581,0.0002270784,0.1188037,0.00003941619,0.0000280661,0.00005953392,0.000157621,0.00005687788,0.001046783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4509795,"threshold_uncertainty_score":0.9998907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283532429703398,"score_gpt":0.200973796156877,"score_spread":0.188138471859843,"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."}}