{"id":"W4410339540","doi":"10.1007/s00603-025-04605-6","title":"Quantitative Optimization of Sensor Positions in Laboratory Acoustic Emission Experiments","year":2025,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustic emission; Acoustics; Geology; Environmental science; Physics","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":[0.001030676,0.0008470753,0.0005542059,0.0002735398,0.0002583488,0.0006585619,0.0005655964,0.000623102,0.001448404],"category_scores_gemma":[0.003521151,0.0004473368,0.0002150404,0.0003552364,0.0004465063,0.000784346,0.0006166326,0.0005188823,0.0005157939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971685,"about_ca_system_score_gemma":0.0006897946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006667678,"about_ca_topic_score_gemma":0.001064864,"domain_scores_codex":[0.9993626,0.0002202701,0.00002449568,0.000131546,0.0002053357,0.00005559314],"domain_scores_gemma":[0.9982455,0.001107243,0.0002028377,0.0002029025,0.0002098112,0.00003165283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00057875,0.0002380889,0.001395839,0.0002895755,0.00003086877,0.00004827305,0.0000760594,0.5956982,0.3054208,0.002976875,0.0005201972,0.09272639],"study_design_scores_gemma":[0.00004627725,0.0002841982,0.001589628,0.00001109551,0.00001503831,0.00003276514,0.00003265045,0.833939,0.1621049,0.001108325,0.0008100148,0.00002620016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1754095,0.0002563489,0.8202873,0.000146462,0.00003062098,0.00005797578,0.000158379,0.001111499,0.002541955],"genre_scores_gemma":[0.8204762,0.0001143766,0.1781942,0.00002701595,0.000009089305,0.00008988876,0.0001043827,0.0002203727,0.0007644793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001448404,"threshold_uncertainty_score":0.005450785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830758706730008,"score_gpt":0.2560759892947721,"score_spread":0.247768402227472,"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."}}