{"id":"W2620535522","doi":"10.3997/2214-4609.201700468","title":"Связь механизмов роста трещин ГРП с эффективным тензором сейсмического момента на основе численного геомеханического моделирования","year":2017,"lang":"ru","type":"article","venue":"Proceedings","topic":"Elasticity and Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Moment tensor; Geology; Shear (geology); Plasticity; Fracture (geology); Moment (physics); Field (mathematics); Point source; Geotechnical engineering; Mechanics; Materials science; Physics; Optics; Mathematics; Petrology; Composite material; Classical mechanics; Deformation (meteorology)","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001462243,0.001716298,0.001554462,0.000631955,0.00281491,0.00313127,0.002741624,0.001367126,0.001196096],"category_scores_gemma":[0.001970239,0.001920763,0.0006510171,0.0005781261,0.0007418655,0.003491037,0.001082366,0.002337899,0.004098015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007316581,"about_ca_system_score_gemma":0.0002477641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003222021,"about_ca_topic_score_gemma":0.0000800343,"domain_scores_codex":[0.9920783,0.0000429473,0.00173756,0.001924623,0.001608162,0.002608418],"domain_scores_gemma":[0.995131,0.0002109997,0.001214394,0.001365845,0.001067225,0.001010512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001807599,0.00299808,0.1015625,0.02225945,0.004487253,0.0006268402,0.02725363,0.002564138,0.2699842,0.1345014,0.2044768,0.227478],"study_design_scores_gemma":[0.01447826,0.002562129,0.130782,0.009741657,0.003546655,0.0007003806,0.003960515,0.1570669,0.290108,0.03101721,0.3420269,0.01400943],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6189234,0.00488362,0.005545451,0.008540794,0.01009088,0.003219274,0.0003069869,0.002839412,0.3456501],"genre_scores_gemma":[0.981468,0.001382145,0.002640523,0.0004245178,0.004141758,0.0001940125,0.00006332713,0.0004820353,0.009203667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3625446,"threshold_uncertainty_score":0.9999638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697171595367902,"score_gpt":0.2335116897355168,"score_spread":0.2165399737818378,"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."}}