{"id":"W2027654350","doi":"10.5539/mas.v3n4p203","title":"Development of TEC System for Commercial Cooling Applications","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Heat Transfer and Numerical Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TEC; Commercialization; Heat sink; Environmental science; Computer science; Electrical engineering; Engineering; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007364798,0.0003064809,0.0002935656,0.0004891693,0.0003545558,0.0004500596,0.0008497192,0.0004867973,0.007990784],"category_scores_gemma":[0.0006081522,0.0001835132,0.0003040414,0.0004580126,0.0001647318,0.0006761894,0.0004352132,0.0006055517,0.002738284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003361513,"about_ca_system_score_gemma":0.0007081372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004685011,"about_ca_topic_score_gemma":0.000401298,"domain_scores_codex":[0.9996209,0.00003741499,0.00001358142,0.00005369682,0.0002302301,0.00004419297],"domain_scores_gemma":[0.9996102,0.00003288508,0.00001656185,0.00005389304,0.000255884,0.00003063964],"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":[0.0002725038,0.0001456202,0.002097032,0.0009403515,0.00003311308,0.0003939525,0.0002674921,0.007678857,0.6968129,0.01285011,0.01380281,0.2647053],"study_design_scores_gemma":[0.0001218404,0.001097568,0.006295538,0.0001108038,0.00005994596,0.001983255,0.0001015149,0.03645191,0.6355932,0.001702283,0.3164163,0.00006592119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1591195,0.004604416,0.7247309,0.0007027444,0.0009035756,0.001363838,0.001164239,0.007246554,0.1001642],"genre_scores_gemma":[0.5693612,0.002547804,0.3746061,0.0002399034,0.0002840017,0.0008149948,0.001864837,0.0008075,0.04947362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007990784,"threshold_uncertainty_score":0.02673179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910579694989624,"score_gpt":0.286722855694338,"score_spread":0.2576170587444417,"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."}}