{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078424,0.0001228123,0.0002724454,0.0003726293,0.000141509,0.00004427832,0.0002253159,0.00004170934,0.0001265],"category_scores_gemma":[0.00003528116,0.00008988909,0.0002068954,0.0002345899,0.00002432454,0.0001345704,0.00002372763,0.0001764928,2.226632e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457151,"about_ca_system_score_gemma":0.0001144091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953003,"about_ca_topic_score_gemma":0.0002903434,"domain_scores_codex":[0.9986686,0.0001495943,0.0005066968,0.0001627195,0.0003451862,0.0001672651],"domain_scores_gemma":[0.9992968,0.0003150459,0.00006048199,0.00008669245,0.0001798004,0.00006117416],"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":[0.0004739123,0.00009065027,0.002029958,0.000004300116,0.0002631286,0.000009348496,0.0005478352,0.4300447,0.5652809,0.0003613699,0.000001669268,0.0008923282],"study_design_scores_gemma":[0.01273182,0.001015818,0.0515119,0.0002040955,0.001136643,0.0008616207,0.004661469,0.8140656,0.0535005,0.0005347992,0.05867285,0.001102907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123098,0.0001588082,0.08597825,0.0008443993,0.000147607,0.000122337,0.0000500192,0.00000792469,0.0003808014],"genre_scores_gemma":[0.9933718,0.00000498755,0.005886522,0.0002297131,0.0001551583,0.00003967132,0.000005495161,0.00002053576,0.0002860636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5117804,"threshold_uncertainty_score":0.3665571,"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."}}