{"id":"W2103717631","doi":"10.1002/er.918","title":"Modelling of a pin-fin heat converter with fluid cooling for power semiconductor modules","year":2003,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Heat sink; Fin; Computer cooling; Heat transfer; Heat transfer coefficient; Mechanics; Thermal resistance; Convection; Mechanical engineering; Materials science; Thermodynamics; Water cooling; Engineering; 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":[0.000464629,0.00008145038,0.0001547623,0.0003305601,0.00002732341,0.000034977,0.0002069443,0.00005371345,0.00006763054],"category_scores_gemma":[0.00004198031,0.0000671914,0.00006861603,0.0001146785,0.0000416477,0.0002010574,0.000006705005,0.000161592,6.715523e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008400161,"about_ca_system_score_gemma":0.0000952201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002611817,"about_ca_topic_score_gemma":0.000006346922,"domain_scores_codex":[0.9988597,0.00004742831,0.0003258648,0.00007038774,0.000512983,0.0001836379],"domain_scores_gemma":[0.99835,0.0001550685,0.00001738867,0.00007164258,0.001331171,0.00007470293],"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":[0.0001978566,0.00003651149,0.00006445855,0.00001708658,0.0001778959,0.000008751679,0.0002876368,0.9623098,0.03063731,0.005834369,0.0002182492,0.0002101112],"study_design_scores_gemma":[0.001380734,0.0002347209,0.000009550294,0.0002032139,0.00001072893,0.00009799597,0.000186705,0.7835984,0.209604,0.0007896363,0.003764088,0.0001202105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2787412,0.0003824958,0.719555,0.00006471127,0.0002584412,0.00004281327,0.00001049031,0.000007627835,0.0009372563],"genre_scores_gemma":[0.994385,0.0003140183,0.005082274,0.00001555459,0.0001002025,0.000005417122,0.000005190226,0.00002579273,0.00006652517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7156438,"threshold_uncertainty_score":0.2739986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305694285245274,"score_gpt":0.3000143057683602,"score_spread":0.2469573629159074,"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."}}