{"id":"W4281809261","doi":"10.1016/j.icheatmasstransfer.2022.106156","title":"Investigation of engine's thermal management based on the characteristics of a map-controlled thermostat","year":2022,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermostat; Thermal; Mechanics; Computer science; Materials science; Thermodynamics; Environmental science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002061571,0.00007843337,0.0001352128,0.0001589062,0.0000493031,0.000004120879,0.0005521403,0.00002304571,0.00007901369],"category_scores_gemma":[0.00003454672,0.00006495178,0.00004384526,0.0001401055,0.00009444761,0.00003572154,0.0000888838,0.0002367302,4.066171e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000538811,"about_ca_system_score_gemma":0.000008104194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006456201,"about_ca_topic_score_gemma":7.890684e-7,"domain_scores_codex":[0.9993201,0.00005770699,0.0002927008,0.00008279627,0.0001787657,0.00006785828],"domain_scores_gemma":[0.9990948,0.0003944628,0.000026408,0.0004309739,0.00004320389,0.00001011728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007641939,0.000289049,0.005116726,0.0001183294,0.0002587346,0.000003216924,0.001085194,0.3209285,0.163707,0.4964894,0.00002745699,0.01121226],"study_design_scores_gemma":[0.002816097,0.00008549945,0.005130953,0.00009949521,0.00003511192,9.45681e-7,0.0006313642,0.9662188,0.01953012,0.003756596,0.001528309,0.000166735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416885,0.0003477054,0.1305421,0.01909613,0.0002306045,0.001131899,0.0001996253,0.0001697615,0.006593661],"genre_scores_gemma":[0.9969266,0.00007837793,0.002504789,0.00008903745,0.000004163675,0.0003011953,0.00004298382,0.00001001208,0.00004285518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6452903,"threshold_uncertainty_score":0.2648657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332169949336483,"score_gpt":0.2460300114438704,"score_spread":0.2227083119505056,"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."}}