{"id":"W6910367751","doi":"10.48336/bp0m-cx42","title":"Rock mass characterization using ground penetrating radar (GPR), rotary-percussion drilling performance, and indentation test","year":2023,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ground-penetrating radar; Borehole; Rock mass classification; Lithology; Characterization (materials science); Excavation; Drilling; Engineering geology","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004590983,0.0002065863,0.0002361205,0.0007399796,0.001552128,0.0001579014,0.0003503215,0.000198013,0.00001037034],"category_scores_gemma":[0.0000700544,0.0002527914,0.00007294129,0.002099477,0.000104964,0.0009902517,0.0002087218,0.0005013183,0.0000249977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819663,"about_ca_system_score_gemma":0.0001061633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002218159,"about_ca_topic_score_gemma":0.000009217378,"domain_scores_codex":[0.9980918,0.0002781878,0.0001891932,0.0004428823,0.0005076205,0.0004903628],"domain_scores_gemma":[0.9988626,0.0003680424,0.00006978111,0.00026216,0.0002344026,0.0002030708],"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":[0.0001237691,0.00003291046,0.001927647,0.00009600237,0.00003547447,0.000107729,0.000276366,0.002144044,0.9934768,0.0005067825,0.00005234572,0.001220111],"study_design_scores_gemma":[0.006318346,0.0009297999,0.2759741,0.0006641399,0.0003821706,0.00005914851,0.01067835,0.6365619,0.03546316,0.0003682966,0.03033523,0.002265419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910938,0.000003320853,0.004245347,0.00002290409,0.001567786,0.0004398578,0.00002128897,0.0003410902,0.002264636],"genre_scores_gemma":[0.9948345,0.0001654683,0.0009293839,0.000001620719,0.001858562,6.312191e-7,0.00008738491,0.0000331322,0.002089281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9580137,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254941917904264,"score_gpt":0.2597205758993938,"score_spread":0.2271711567203512,"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."}}