{"id":"W4310276891","doi":"10.1016/j.ijheatmasstransfer.2022.123646","title":"Oscillatory thermal response test using heating cables: A novel method for in situ thermal property analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Armand-Frappier Foundation","keywords":"Thermal diffusivity; Thermal conductivity; Thermal; Thermal transmittance; Materials science; Thermal effusivity; Environmental science; Thermal resistance; Work (physics); Flexibility (engineering); Nuclear engineering; Mechanical engineering; Composite material; Thermodynamics; Thermal contact conductance; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002610599,0.0006365235,0.0003272516,0.0004228373,0.0002042386,0.0002173815,0.0005304324,0.0003896594,0.00148902],"category_scores_gemma":[0.0004907049,0.000251222,0.0002078962,0.000465337,0.0003384016,0.0005478758,0.0002478163,0.0004588794,0.0002512773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001443071,"about_ca_system_score_gemma":0.0001641856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003165745,"about_ca_topic_score_gemma":0.000969478,"domain_scores_codex":[0.9997312,0.00004484735,0.00001331454,0.00006848488,0.0001151176,0.00002692233],"domain_scores_gemma":[0.9995641,0.0001615061,0.0000967338,0.0000576128,0.0000950353,0.00002486759],"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":[0.00009159552,0.00003077237,0.0007912831,0.00005702861,0.000006290332,0.00004999906,0.00004858736,0.0001563109,0.9916788,0.00006874701,0.00007794463,0.006942663],"study_design_scores_gemma":[0.00001148344,0.0003898177,0.007007007,0.000008820615,0.0000329968,0.0001840238,0.00009878889,0.006833546,0.984233,0.00007457823,0.001107942,0.00001793373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7912953,0.0006450709,0.2046439,0.00008338811,0.0001052135,0.0001126261,0.0003098553,0.0005144813,0.002290235],"genre_scores_gemma":[0.9702344,0.0004122432,0.02640307,0.00005839023,0.00003058412,0.0001474861,0.0001390254,0.0000816136,0.00249319],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00148902,"threshold_uncertainty_score":0.00498122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617640413525537,"score_gpt":0.2881251489875333,"score_spread":0.2619487448522779,"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."}}