{"id":"W2899950325","doi":"10.3390/en11113059","title":"Distributed Thermal Response Tests Using a Heating Cable and Fiber Optic Temperature Sensing","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Bureau de Recherches Géologiques et Minières; Agence Nationale de la Recherche; Equipex; United Nations Educational, Scientific and Cultural Organization","keywords":"Thermal conductivity; Materials science; Heat exchanger; Thermal; Heat transfer; Natural convection; Mechanics; Nuclear engineering; Environmental science; Engineering; Mechanical engineering; Composite material; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006365991,0.00068628,0.0002990325,0.0005293677,0.0002760044,0.000238381,0.0005591897,0.0004119264,0.00128981],"category_scores_gemma":[0.001225856,0.000233291,0.000410669,0.0004569906,0.0004494118,0.0005458138,0.0003849552,0.0003573716,0.0002530623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004205077,"about_ca_system_score_gemma":0.000251599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009816707,"about_ca_topic_score_gemma":0.00193305,"domain_scores_codex":[0.9992797,0.0001178768,0.00004136756,0.0001957537,0.0002977113,0.00006768882],"domain_scores_gemma":[0.9987004,0.0003749715,0.0002607036,0.0001963485,0.0004032977,0.00006424743],"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":[0.0004980212,0.0001376009,0.003942632,0.0001057724,0.00002286175,0.0000849854,0.0001463403,0.003353544,0.9807664,0.0001381284,0.00007866209,0.01072493],"study_design_scores_gemma":[0.00004804815,0.001743944,0.01352722,0.000007386152,0.0000291292,0.0001531907,0.00009438518,0.008718154,0.9750565,0.00008957335,0.0005088694,0.00002368639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692768,0.00007616375,0.029678,0.00002291664,0.00001478784,0.00008026739,0.0001522381,0.0001668496,0.0005320081],"genre_scores_gemma":[0.9857013,0.0000420229,0.01284238,0.00001531951,0.000005944686,0.00006552029,0.00008591176,0.0000322514,0.001209211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128981,"threshold_uncertainty_score":0.00431484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343288384590055,"score_gpt":0.2468467545599589,"score_spread":0.2334138707140584,"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."}}