{"id":"W4231984774","doi":"10.4018/978-1-4666-0915-0.ch012","title":"A Numerical Approach for Simulation of Rock Fracturing in Engineering Blasting","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Rock blasting; Isotropy; Finite element method; Brittleness; Geomechanics; Fracture (geology); Element (criminal law); Structural engineering; Computer science; Engineering; Geotechnical engineering; Geology; Materials science; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.0001181613,0.0004390277,0.0006283669,0.0001213858,0.00001831623,0.00001520395,0.000202048,0.0005622994,0.000009905395],"category_scores_gemma":[0.00006147775,0.000478944,0.0002331023,0.00004134806,0.000007293085,0.00005672398,0.00006456392,0.0004596693,0.000007869338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019128,"about_ca_system_score_gemma":0.0000140529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007214253,"about_ca_topic_score_gemma":7.63593e-7,"domain_scores_codex":[0.9983925,0.000002843672,0.0006073854,0.0002821326,0.0002230377,0.0004921366],"domain_scores_gemma":[0.9993472,0.0001315309,0.00008651086,0.0002476661,0.0000411534,0.0001459547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001070031,0.000008038125,0.000001532699,0.0007145321,0.00004608071,0.000001735489,0.00001420312,0.9622685,0.0001695819,0.03207342,0.000005658211,0.004686048],"study_design_scores_gemma":[0.000292492,0.00003383862,0.000006258901,0.0003272331,0.00004240707,0.000005070361,0.000001544673,0.9912454,0.0002934424,0.003889696,0.003386649,0.0004759602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00006396385,0.0005300338,0.9028092,0.000001755643,0.0001946889,0.0004523604,0.00003771203,0.0003863935,0.0955239],"genre_scores_gemma":[0.9923372,0.000002407759,0.006920885,0.000008088139,0.0002482346,0.00004283911,0.000008651924,0.0001007771,0.0003309663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9922732,"threshold_uncertainty_score":0.9997662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353808286477163,"score_gpt":0.2088166283779045,"score_spread":0.1952785455131329,"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."}}