{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003017891,0.000764677,0.001244985,0.000327939,0.0006970881,0.00197284,0.00100999,0.001805699,0.002581012],"category_scores_gemma":[0.0008847868,0.0006874164,0.001244231,0.0003674265,0.0009657351,0.001324773,0.0007841655,0.000752351,0.0003524208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008520372,"about_ca_system_score_gemma":0.0009325938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225891,"about_ca_topic_score_gemma":0.007855224,"domain_scores_codex":[0.9997413,0.00005921835,0.00001648231,0.00007011847,0.00005259982,0.00006037089],"domain_scores_gemma":[0.9996411,0.0002060262,0.00003044429,0.0000296802,0.00005379837,0.00003912993],"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":[0.00007783551,0.00003440621,0.0004408294,0.00002860431,0.000009778231,0.00006848721,0.00004545871,0.9932688,0.003729515,0.0006641384,0.00008452615,0.001547668],"study_design_scores_gemma":[0.000004532857,0.00001377772,0.0001948257,0.000001802008,0.000002139882,0.000004648581,0.00001118907,0.9991271,0.0004411313,0.000102172,0.00009373843,0.000002933168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8638371,0.0007523893,0.1227319,0.0002628216,0.0001301055,0.00008432156,0.0003618222,0.0003507693,0.01148876],"genre_scores_gemma":[0.9912971,0.0001451717,0.002791451,0.00001304994,0.0000170148,0.00002346807,0.0001579391,0.00007049608,0.005484375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02225891,"threshold_uncertainty_score":0.04425871,"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."}}