{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001926906,0.000172337,0.0001776061,0.00005414568,0.0004368222,0.0001198501,0.00007778286,0.0001071142,0.0001154953],"category_scores_gemma":[0.0000796575,0.0001480435,0.00003677529,0.0002312205,0.000135783,0.0001222384,0.00006740214,0.00009142317,0.00002612024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004272169,"about_ca_system_score_gemma":0.00004601338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006631098,"about_ca_topic_score_gemma":0.0002224461,"domain_scores_codex":[0.9990097,0.0001160254,0.0002006055,0.0002633635,0.0001172807,0.0002930023],"domain_scores_gemma":[0.9993372,0.0001345442,0.00007105245,0.0002872407,0.00009611763,0.00007385304],"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":[0.00008780708,0.00001640491,0.0001723715,0.00001317563,0.00003751776,0.00001427296,0.0005768275,0.390461,0.6033455,0.003801408,0.0001506315,0.001323034],"study_design_scores_gemma":[0.002650662,0.0004114642,0.0482984,0.0008580058,0.0001870847,0.0008334679,0.003715503,0.4368697,0.3063705,0.0008564302,0.1966026,0.002346153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973615,0.0001871311,0.00003488393,0.000168354,0.00007739645,0.00005988922,0.00001248901,0.0001359154,0.001962486],"genre_scores_gemma":[0.9914317,0.000001507918,0.005445605,0.00007443201,0.0003648897,0.000007066901,0.00001396714,0.00003622887,0.00262463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.296975,"threshold_uncertainty_score":0.9999838,"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."}}