{"id":"W2064453671","doi":"10.1115/1.2193541","title":"Local Heat Transfer Measurements in Microchannels Using Liquid Crystal Thermography: Methodology Development and Validation","year":2005,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Microchannel; Materials science; Heat transfer; Heat transfer coefficient; Heat sink; Mechanics; Calibration; Thermal; Mechanical engineering; Optics; Thermodynamics; Nanotechnology; Engineering","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":[0.003383429,0.0008028024,0.0009274375,0.0007071741,0.0006302284,0.0006069848,0.001323222,0.0007289533,0.0006150092],"category_scores_gemma":[0.003025032,0.0003675836,0.0003909617,0.0007938732,0.001039708,0.0006145393,0.0007477782,0.0008275357,0.000286871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000642575,"about_ca_system_score_gemma":0.001259654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001746183,"about_ca_topic_score_gemma":0.001676739,"domain_scores_codex":[0.998085,0.000418045,0.0001266998,0.0004142727,0.0008393331,0.0001166253],"domain_scores_gemma":[0.9977291,0.0008033586,0.0003378879,0.0004815116,0.0005836334,0.0000644294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001345642,0.0002313195,0.001632757,0.0004798596,0.00002687785,0.00008363844,0.0002725769,0.006827631,0.9507661,0.001142606,0.00009235929,0.03830972],"study_design_scores_gemma":[0.0000110515,0.0003339315,0.001279191,0.00001187513,0.00001152358,0.00008398405,0.00003706754,0.01395818,0.983337,0.0001254657,0.0007881806,0.00002271765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.318103,0.0007950833,0.6781471,0.00005871974,0.00002698058,0.001053017,0.0003158938,0.0007140135,0.0007863195],"genre_scores_gemma":[0.5257763,0.001072946,0.4690537,0.00003323,0.00001782746,0.00259686,0.0003009104,0.0001140736,0.001034292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003383429,"threshold_uncertainty_score":0.01789349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06967154666924046,"score_gpt":0.2730682000818647,"score_spread":0.2033966534126243,"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."}}