{"id":"W2771025473","doi":"10.1063/1.4995609","title":"A dynamic point-load test for quantifying rock dynamic strength parameters","year":2017,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Load testing; Point (geometry); Dynamic testing; Materials science; Computer science; Mechanics; Geotechnical engineering; Geology; Physics; Geometry; Mathematics","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":[0.0009996322,0.0007783686,0.0006250979,0.003341335,0.0004688466,0.0004877429,0.001160515,0.0009568033,0.004208704],"category_scores_gemma":[0.001447532,0.0003863563,0.0003724097,0.002408687,0.0006372195,0.0007795934,0.0007638508,0.0006170536,0.001686484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626254,"about_ca_system_score_gemma":0.0006587979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009339343,"about_ca_topic_score_gemma":0.00340968,"domain_scores_codex":[0.998188,0.0001504665,0.00008072692,0.0002869326,0.00123124,0.00006278817],"domain_scores_gemma":[0.9985988,0.0003919325,0.0001992138,0.0001646332,0.0005660468,0.0000794376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001649939,0.000156267,0.01067947,0.0004883388,0.00004154166,0.0001988415,0.0001555359,0.001445111,0.9004951,0.001151049,0.001272623,0.0837512],"study_design_scores_gemma":[0.0000437831,0.001666077,0.08505556,0.0001089277,0.0001449203,0.002559721,0.0004804708,0.04434772,0.8382705,0.00158168,0.02551366,0.0002269122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.343644,0.004994494,0.6207468,0.0001648682,0.000346225,0.0008777627,0.002774573,0.002583299,0.02386797],"genre_scores_gemma":[0.686388,0.003210181,0.2909993,0.0002216029,0.0000976383,0.0009610793,0.001917004,0.0002024939,0.01600275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004208704,"threshold_uncertainty_score":0.01407957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306647332810644,"score_gpt":0.2943117526444728,"score_spread":0.2612452793163664,"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."}}