{"id":"W2782181000","doi":"10.1139/cgj-2017-0447","title":"Colloquium 2016: Assessment of subsurface thermal conductivity for geothermal applications","year":2018,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geothermal gradient; Thermal conductivity; Geothermal energy; Geothermal heating; Environmental science; Heat exchanger; Context (archaeology); Petroleum engineering; Drill; Thermal effusivity; Geotechnical engineering; Thermal; Geology; Geophysics; Meteorology; Materials science; Engineering; Thermal resistance; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.005007378,0.001803628,0.0009208943,0.002511657,0.0009896179,0.002694138,0.00152194,0.001281155,0.01022288],"category_scores_gemma":[0.002593982,0.0005241277,0.001187702,0.001680664,0.0007530571,0.001783053,0.002052959,0.00135185,0.005360397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080304,"about_ca_system_score_gemma":0.002894015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008037904,"about_ca_topic_score_gemma":0.01401403,"domain_scores_codex":[0.9981865,0.0003035372,0.0001262063,0.0002829596,0.0009635845,0.000137097],"domain_scores_gemma":[0.9968663,0.0001863976,0.0002080415,0.0004544075,0.00193233,0.0003524665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001541112,0.0006943044,0.02358635,0.002003394,0.000298035,0.0005422042,0.0007942351,0.03176984,0.1670242,0.01122931,0.1606145,0.5999025],"study_design_scores_gemma":[0.0001546361,0.00157853,0.04206128,0.0009312957,0.0002350834,0.0008055216,0.0006347914,0.04724851,0.1956069,0.01158577,0.698914,0.0002437082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2196505,0.04690829,0.4252406,0.006735713,0.01696484,0.002639385,0.02458381,0.006037601,0.2512393],"genre_scores_gemma":[0.581906,0.02382494,0.1199575,0.0006072169,0.001973673,0.001408711,0.03038677,0.002510343,0.2374249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022288,"threshold_uncertainty_score":0.03419894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998999102197455,"score_gpt":0.2781375258550285,"score_spread":0.2581475348330539,"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."}}