{"id":"W4408445365","doi":"10.1117/12.3051125","title":"Powering unmanned flight using thermoelectric power generation from gas fuel combustion","year":2025,"lang":"en","type":"article","venue":"","topic":"Thermal Radiation and Cooling Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakeridge Health","funders":"","keywords":"Combustion; Electricity generation; Thermoelectric generator; Automotive engineering; Aerospace engineering; Power (physics); Environmental science; Thermoelectric effect; Nuclear engineering; Materials science; Engineering; Physics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000431715,0.0001068428,0.00009488301,0.0001524197,0.00005514388,0.00004771477,0.0001085126,0.0001049624,0.0001597063],"category_scores_gemma":[0.00001419443,0.0001043901,0.00003236726,0.0003013091,0.000009658038,0.0001013059,0.00001969402,0.0001034428,0.00002724593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009818416,"about_ca_system_score_gemma":0.00001156028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002768297,"about_ca_topic_score_gemma":0.00001535381,"domain_scores_codex":[0.999513,0.00001069188,0.0001435478,0.0001204573,0.00006639023,0.000145904],"domain_scores_gemma":[0.9997522,0.00001838195,0.00001656493,0.0001736737,0.00002272093,0.00001641995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000135032,0.00002755214,0.0003381648,0.00001231252,0.0001437209,0.0000035397,0.0001964689,0.2555678,0.6792249,0.04829638,0.002734285,0.01344137],"study_design_scores_gemma":[0.0002689592,0.0000131644,0.002154923,0.00002011401,0.00002520032,8.727507e-7,0.00007282986,0.8312389,0.1611315,0.002706946,0.002165474,0.0002011971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8475915,0.0009326693,0.1413477,0.000173264,0.0005243607,0.00008507819,0.000002280086,0.001441502,0.007901651],"genre_scores_gemma":[0.997673,0.00008423437,0.001877216,0.00009862547,0.0000356495,0.000004876857,0.00001066782,0.00001494694,0.0002007435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.575671,"threshold_uncertainty_score":0.4256905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119630462016983,"score_gpt":0.2177726474446144,"score_spread":0.2065763428244445,"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."}}