{"id":"W2044446787","doi":"10.1016/j.ijheatmasstransfer.2011.04.028","title":"Viscous flow in variable cross-section microchannels of arbitrary shapes","year":2011,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Mechanics; Reynolds number; Laminar flow; Cross section (physics); Pressure drop; Inertia; Pipe flow; Materials science; Physics; Classical mechanics; Turbulence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005331196,0.0005084118,0.0006077795,0.000581377,0.0006073834,0.001067774,0.0005723472,0.0007623077,0.0006913725],"category_scores_gemma":[0.001584994,0.0004795632,0.0003814592,0.0002989649,0.001456061,0.0007827504,0.0006538645,0.0003787718,0.00008763803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008742661,"about_ca_system_score_gemma":0.0006380809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628942,"about_ca_topic_score_gemma":0.001294182,"domain_scores_codex":[0.9997646,0.00006072767,0.00001000968,0.00006686003,0.00003566991,0.00006217929],"domain_scores_gemma":[0.999055,0.0005685186,0.0001729819,0.00005501988,0.00007262478,0.00007586113],"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":[0.001101077,0.0003497802,0.005651825,0.0001925565,0.00005479811,0.0004515279,0.0001836739,0.7682708,0.1840645,0.02869929,0.0005393917,0.01044081],"study_design_scores_gemma":[0.0001078393,0.0002039103,0.00164275,0.00000988796,0.00001605257,0.00007248271,0.00003668623,0.9653986,0.03046299,0.00160824,0.0004095236,0.00003104537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902873,0.0007015127,0.09274638,0.0002431738,0.00007033754,0.00004914146,0.00008307238,0.0001245223,0.003108697],"genre_scores_gemma":[0.9879773,0.000181355,0.01011481,0.00002980141,0.00002144923,0.00003099317,0.00002812879,0.00001754924,0.001598645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001628942,"threshold_uncertainty_score":0.006343246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234171006436664,"score_gpt":0.224552520828339,"score_spread":0.2122108107639724,"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."}}