{"id":"W2038299179","doi":"10.1680/gr.14.00002","title":"Evaluation of a logarithmic-law strength rate parameter using full-flow penetrometers","year":2014,"lang":"en","type":"article","venue":"Geotechnical Research","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Penetrometer; Logarithm; Strain rate; Penetration (warfare); Penetration depth; Plasticity; Volumetric flow rate; Mechanics; Materials science; Penetration rate; Geotechnical engineering; Mathematics; Physics; Geology; Mathematical analysis; Soil science; Composite material; Soil water; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006816021,0.0001089918,0.000205936,0.0001310958,0.0000906012,0.00003527583,0.0002781461,0.0001295611,0.0001098457],"category_scores_gemma":[0.00201118,0.0001015342,0.00008022368,0.0005651747,0.0002068587,0.00006447088,0.0001059545,0.000493677,0.0000434375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080975,"about_ca_system_score_gemma":0.00003879916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007766329,"about_ca_topic_score_gemma":0.000009633098,"domain_scores_codex":[0.997416,0.0006716354,0.000265877,0.0002468428,0.0009845298,0.0004151801],"domain_scores_gemma":[0.9976202,0.001177402,0.00002614517,0.0005026571,0.000549779,0.0001238292],"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":[0.00001841573,0.0001436059,0.00000385332,0.00007264298,0.00005923702,4.947978e-7,0.00002228195,0.1970563,0.4278724,0.01546863,0.0001477294,0.3591343],"study_design_scores_gemma":[0.0002624372,0.0001056133,0.0006492508,0.00002051197,0.00003368865,7.729564e-7,0.000008529739,0.9537347,0.00908161,0.03484316,0.0011542,0.000105534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786359,0.00005199506,0.1175809,0.000103518,0.00005842314,0.0004754799,0.0000122291,0.0001164405,0.002965084],"genre_scores_gemma":[0.9594522,0.000009712698,0.04033064,0.00001016499,0.0000695071,0.00009144683,0.000005341671,0.00002275889,0.000008295507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7566783,"threshold_uncertainty_score":0.4140445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1699127908653119,"score_gpt":0.4184614718969488,"score_spread":0.2485486810316369,"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."}}