{"id":"W2015983435","doi":"10.1016/j.infrared.2012.12.039","title":"An effective thermal conductance tuning mechanism for uncooled microbolometers","year":2013,"lang":"en","type":"article","venue":"Infrared Physics & Technology","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microbolometer; Materials science; Conductance; Detector; Optoelectronics; Thermal; Infrared; Substrate (aquarium); Thermal conductivity; Scanning thermal microscopy; Optics; Bolometer; Physics; Composite material; Condensed matter 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":[0.0002772546,0.0003127237,0.000292306,0.0004208114,0.0004022238,0.0007560696,0.001433512,0.0006938411,0.00205799],"category_scores_gemma":[0.000815486,0.0002741709,0.0002092405,0.0002151385,0.0007684779,0.001494301,0.0007667175,0.000733323,0.0005268759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000500728,"about_ca_system_score_gemma":0.0001888356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001151625,"about_ca_topic_score_gemma":0.0002502502,"domain_scores_codex":[0.9996722,0.00003594439,0.00001400634,0.00009882403,0.0001292234,0.00004987681],"domain_scores_gemma":[0.9996643,0.0001008028,0.00005027677,0.00009357557,0.00005689562,0.00003418864],"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":[0.00005342229,0.0000363385,0.0001470781,0.000144446,0.000008593435,0.0001169996,0.0001309738,0.0007161101,0.9350644,0.05104195,0.0008352848,0.01170443],"study_design_scores_gemma":[0.00003149829,0.0001446369,0.0005709919,0.00002604312,0.00001970184,0.0002601225,0.00005055542,0.07235038,0.9027103,0.01098877,0.01277866,0.00006827583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6202968,0.004964678,0.3389499,0.001480699,0.001327303,0.0002185822,0.0002179162,0.002509861,0.03003423],"genre_scores_gemma":[0.972024,0.0003616521,0.02254484,0.0002308606,0.0001074974,0.00005953553,0.00002666006,0.0001105469,0.004534363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00205799,"threshold_uncertainty_score":0.006884694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00832459792585858,"score_gpt":0.2205535599756471,"score_spread":0.2122289620497885,"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."}}