{"id":"W4400248990","doi":"10.23967/isc.2024.175","title":"Calibration Chamber Testing on Tailings for Interpretation of Partially Drained CPT","year":2024,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Tailings; Environmental science; Interpretation (philosophy); Remote sensing; Computer science; Geology; Materials science; Physics; Metallurgy; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001531703,0.00009276812,0.0000934596,0.00009073978,0.00001597682,0.00003313379,0.00004080476,0.00004593914,0.0000113751],"category_scores_gemma":[0.0003382798,0.00008753262,0.00003392039,0.0001603004,0.00001702356,0.0001564446,0.000009727307,0.00006697533,0.000003143002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004241042,"about_ca_system_score_gemma":0.00001444204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001219188,"about_ca_topic_score_gemma":0.000007879655,"domain_scores_codex":[0.9994944,0.000008590032,0.0001969659,0.0001234492,0.00007240494,0.0001042279],"domain_scores_gemma":[0.9994206,0.0003913734,0.000019688,0.00009185313,0.00005692598,0.00001959271],"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":[0.00004308336,0.00002354232,0.0005669709,0.001146725,0.00006294048,0.000005615758,0.001071867,0.0112688,0.7654259,0.1951543,0.001683282,0.02354707],"study_design_scores_gemma":[0.00005300925,0.0001146107,0.0001103391,0.0001784001,0.000008859192,0.000002920071,0.00001006596,0.8430443,0.09803316,0.05832414,0.00002485426,0.00009535889],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1577343,0.00002170624,0.8234472,0.00005796932,0.0001873477,0.0003065969,0.000005789319,0.002419517,0.01581954],"genre_scores_gemma":[0.7119682,2.963139e-7,0.287881,0.00001434557,0.00004335109,0.00004063356,0.000006739695,0.00002687933,0.00001848616],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8317755,"threshold_uncertainty_score":0.3569477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144986548788236,"score_gpt":0.2671655144289236,"score_spread":0.2457156489410412,"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."}}