{"id":"W1989274186","doi":"10.1109/tcpmt.2013.2254173","title":"Thermal Resistance and Heat Spreading Characterization Platform for Concentrated Photovoltaic Cell Receivers","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Components Packaging and Manufacturing Technology","topic":"solar cell performance optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Characterization (materials science); Thermal; Materials science; Thermal resistance; Photovoltaics; Heat flux; Solar cell; Photovoltaic system; Computer science; Mechanical engineering; Electronic engineering; Nuclear engineering; Environmental science; Optoelectronics; Nanotechnology; Heat transfer; Electrical engineering; Engineering; Meteorology; Mechanics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007794125,0.0006904211,0.0005168767,0.0007645939,0.000335535,0.0004945455,0.001288555,0.0006692082,0.001370371],"category_scores_gemma":[0.001711526,0.0002952632,0.0003544466,0.0004684942,0.0004369221,0.0006498574,0.0004376307,0.0005172163,0.000519649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005109836,"about_ca_system_score_gemma":0.0002447732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003877178,"about_ca_topic_score_gemma":0.00066993,"domain_scores_codex":[0.9991364,0.0001244362,0.00004087804,0.0001849721,0.0004651746,0.00004819597],"domain_scores_gemma":[0.9983883,0.0003686825,0.0002876631,0.0003222658,0.0005969889,0.00003614364],"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":[0.0001014127,0.00007160326,0.001718977,0.00009902163,0.00001918131,0.0000645391,0.0001520557,0.004025099,0.9800634,0.0004117164,0.0002412295,0.01303181],"study_design_scores_gemma":[0.00001259574,0.0004759148,0.002993674,0.00000908957,0.00001814686,0.00009238377,0.00004700473,0.01731084,0.977937,0.00007283492,0.00100996,0.00002045957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7769775,0.0003487901,0.2167643,0.00007828249,0.00008228482,0.0003750869,0.0006004099,0.001655158,0.003118226],"genre_scores_gemma":[0.9101571,0.0001740171,0.08721185,0.0000355911,0.00002642718,0.0003453837,0.0002801145,0.0001424142,0.001626957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001370371,"threshold_uncertainty_score":0.004584372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00818652351418424,"score_gpt":0.1804311110215243,"score_spread":0.1722445875073401,"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."}}