{"id":"W4401481353","doi":"10.56952/arma-2024-0640","title":"Generation of Micro-Fracture Clouds in Rocks: Mechanisms and Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Fracture (geology); Materials science; Geology; Computer science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835032,0.0002650536,0.00028844,0.0005112145,0.0003990149,0.0006086819,0.0007272197,0.001003768,0.001032961],"category_scores_gemma":[0.0003146032,0.0002679724,0.0004755022,0.0003392929,0.0006402986,0.0007903106,0.0004098129,0.0004152982,0.0001796458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000697017,"about_ca_system_score_gemma":0.0003362928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941694,"about_ca_topic_score_gemma":0.0018594,"domain_scores_codex":[0.9998965,0.000008938578,0.000006123968,0.00002958621,0.0000433796,0.0000154642],"domain_scores_gemma":[0.9998073,0.00006488934,0.00005711896,0.00001315781,0.00004278143,0.00001477624],"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":[0.0001512417,0.0003139027,0.02750734,0.006009351,0.0002394435,0.001617703,0.0006259183,0.334354,0.3568483,0.110275,0.003224075,0.1588337],"study_design_scores_gemma":[0.00002623202,0.0002453623,0.01506367,0.000361512,0.0001214396,0.001493111,0.0004444791,0.7791017,0.1289239,0.05414766,0.01996926,0.0001017481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5872145,0.09553788,0.2946151,0.002213168,0.0002664872,0.0001850456,0.0007251285,0.0007000145,0.01854271],"genre_scores_gemma":[0.9706436,0.01589397,0.01164669,0.00006053054,0.00003835312,0.00004631385,0.0001027367,0.0000148855,0.00155293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001941694,"threshold_uncertainty_score":0.005057216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008433062639141724,"score_gpt":0.2245585651452551,"score_spread":0.2161255025061134,"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."}}