{"id":"W4412403279","doi":"10.1103/hl63-8xm9","title":"Data-driven analysis of acoustic emission signals for the distinction of deformation mechanisms","year":2025,"lang":"en","type":"article","venue":"Physical Review Materials","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Acoustic emission; Materials science; Deformation (meteorology); Acoustics; Composite material; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003391917,0.00007491704,0.0004148433,0.00004298464,0.00002968591,0.000008439143,0.0001818906,0.00001698919,0.00001900059],"category_scores_gemma":[0.0001160319,0.00004798796,0.00009014347,0.0002380488,0.000003995983,0.00006862851,0.00005806426,0.0000192202,7.683443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001186902,"about_ca_system_score_gemma":0.00000828466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004507216,"about_ca_topic_score_gemma":0.000001098699,"domain_scores_codex":[0.9993596,0.0000238077,0.0003623636,0.00008919941,0.00009278042,0.00007227002],"domain_scores_gemma":[0.9993889,0.000110064,0.0001114761,0.0003123375,0.00006454725,0.00001270969],"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":[0.000004842817,0.0000131086,6.990612e-8,0.002582061,0.0002271161,1.047835e-8,0.00001136697,0.05643214,0.9351813,0.002280847,0.0001407675,0.003126414],"study_design_scores_gemma":[0.0000401688,0.000008843366,0.000005596323,0.0005888182,0.001784071,2.924055e-8,0.000004742453,0.6851296,0.3096546,0.00258896,0.0001565173,0.00003795379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06840644,0.001507042,0.9290403,0.00003809459,0.0001765867,0.0004266997,0.0003582389,0.00002394591,0.00002267418],"genre_scores_gemma":[0.9963841,0.002904471,0.0003818903,0.00002375179,0.00002453544,0.00004791462,0.0002219877,0.000006636954,0.000004640259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9286584,"threshold_uncertainty_score":0.1956892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292428874059209,"score_gpt":0.3173514423831068,"score_spread":0.2844271536425146,"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."}}