{"id":"W1978461528","doi":"10.1115/1.3194760","title":"Optimal Distribution of Heat Sources in Convergent Channels Cooled by Laminar Forced Convection","year":2009,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Freestream; Constructal law; Mechanics; Work (physics); Laminar flow; Inlet; Finite element method; Distribution (mathematics); Leading edge; Channel (broadcasting); Flow (mathematics); Convection; Materials science; Mathematics; Heat transfer; Physics; Thermodynamics; Mathematical analysis; Mechanical engineering; Reynolds number; Computer science; Engineering; Telecommunications","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":[0.0005577602,0.0002688601,0.000350763,0.0003794504,0.0003487071,0.0005484628,0.0003751116,0.0002329621,0.0003476181],"category_scores_gemma":[0.001282015,0.0002090002,0.0001776387,0.0002063271,0.0007851398,0.0004540323,0.0006650428,0.0001743444,0.00005760159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005236592,"about_ca_system_score_gemma":0.0005723155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007416483,"about_ca_topic_score_gemma":0.0006490737,"domain_scores_codex":[0.999831,0.000049532,0.0000105895,0.00003149145,0.00004049455,0.00003684337],"domain_scores_gemma":[0.9995253,0.0001999705,0.0001026138,0.00003882654,0.00009121477,0.00004201155],"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":[0.0009748632,0.000146342,0.007580912,0.0001155582,0.00002328683,0.0002317209,0.0002399685,0.8735182,0.08623401,0.01021249,0.0002377119,0.02048488],"study_design_scores_gemma":[0.00005314444,0.0002001414,0.00119611,0.000007837108,0.00001017166,0.00003860195,0.00005379274,0.9593308,0.03599093,0.00290327,0.0001989968,0.00001624552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113248,0.00007963199,0.08686867,0.00003656857,0.00001069634,0.00002034199,0.00002680194,0.00007425073,0.001558282],"genre_scores_gemma":[0.9919263,0.0000173728,0.007846527,0.000002084219,0.000001943208,0.00001157611,0.000009684913,0.000005126097,0.0001794956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007416483,"threshold_uncertainty_score":0.003799438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00649563150248245,"score_gpt":0.2045871685080678,"score_spread":0.1980915370055853,"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."}}