{"id":"W2947268057","doi":"10.5194/se-10-2001-2019","title":"A multi-phasic approach for estimating the Biot coefficient for Grimsel granite","year":2019,"lang":"en","type":"article","venue":"Solid Earth","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Lawrence Berkeley National Laboratory; Canadian Nuclear Safety Commission; Nationale Genossenschaft für die Lagerung radioaktiver Abfälle; Natural Sciences and Engineering Research Council of Canada; Innosuisse - Schweizerische Agentur für Innovationsförderung; Swiss Competence Center for Energy Research – Supply of Electricity; Eidgenössische Technische Hochschule Zürich; University of Bern; École Polytechnique Fédérale de Lausanne; Imperial College London","keywords":"Compressibility; Biot number; Transverse isotropy; Geology; Saturation (graph theory); Isotropy; Mineralogy; Geotechnical engineering; Dilatometer; Materials science; Mechanics; Mathematics; Composite material; Thermal expansion; Physics; Optics","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":[0.0004933597,0.0005251789,0.0004470999,0.002427571,0.0002830612,0.0005340503,0.0007300625,0.0006099371,0.0007438021],"category_scores_gemma":[0.001204658,0.0003746643,0.0004401888,0.00100364,0.00026815,0.0006054253,0.0006047016,0.0004654897,0.0003168496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004271301,"about_ca_system_score_gemma":0.0008561527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004984445,"about_ca_topic_score_gemma":0.01150247,"domain_scores_codex":[0.9997354,0.00005587432,0.00001303521,0.00006770781,0.0001105165,0.00001757656],"domain_scores_gemma":[0.9995645,0.0001151211,0.00009551563,0.00005852947,0.0001465839,0.00001978719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002048754,0.0001458361,0.03715619,0.0002717822,0.0001385721,0.0002039682,0.0001469822,0.5953132,0.1668769,0.004557612,0.0003327387,0.1946514],"study_design_scores_gemma":[0.000008469296,0.00005376632,0.009584783,0.0000114688,0.00002470812,0.0001248098,0.00004451879,0.9711492,0.01661313,0.00128238,0.001068816,0.00003403447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1426349,0.0002212189,0.8550479,0.00004391404,0.000008946746,0.00004929042,0.0002306241,0.0003016745,0.00146155],"genre_scores_gemma":[0.7656497,0.0001714088,0.2329583,0.00001607695,0.000006900223,0.00005022273,0.0002833271,0.00004589499,0.0008181522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004984445,"threshold_uncertainty_score":0.009910822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02570120184815495,"score_gpt":0.2515394424950158,"score_spread":0.2258382406468609,"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."}}