{"id":"W4210556225","doi":"10.1007/s11440-022-01451-6","title":"GeoNDT: a fast general-purpose computational tool for geotechnical non-destructive testing applications","year":2022,"lang":"en","type":"article","venue":"Acta Geotechnica","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; University of Manitoba","funders":"","keywords":"Nondestructive testing; Solid mechanics; Characterization (materials science); Geotechnical engineering; Geology; SIGNAL (programming language); Engineering; Geophysics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008639049,0.001602717,0.001005974,0.0008421326,0.0005369718,0.001261026,0.003496939,0.001230967,0.02926125],"category_scores_gemma":[0.002790125,0.0007556659,0.0009870529,0.0008121549,0.000620876,0.001431233,0.001712954,0.001749226,0.005512476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005115238,"about_ca_system_score_gemma":0.00144418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004211155,"about_ca_topic_score_gemma":0.006715825,"domain_scores_codex":[0.9995105,0.0000789138,0.00003206421,0.00005073722,0.0002709638,0.00005680945],"domain_scores_gemma":[0.9990199,0.0004338054,0.00005286742,0.0001371278,0.0002801507,0.00007619023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001003077,0.0002608521,0.003267944,0.001295828,0.0003568753,0.0008994204,0.000504698,0.2800849,0.03315122,0.03862024,0.2169758,0.4235792],"study_design_scores_gemma":[0.0001896407,0.00004534074,0.0003967513,0.00005756373,0.00003425372,0.0001607239,0.00002950733,0.919944,0.01601251,0.008450265,0.05461965,0.00005978384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009141989,0.0002788037,0.905899,0.0002509338,0.0002908635,0.0001256601,0.002734271,0.0732966,0.007981887],"genre_scores_gemma":[0.1532273,0.0005403503,0.7938187,0.0006751313,0.0001205317,0.0009356172,0.009401955,0.02156818,0.01971225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02926125,"threshold_uncertainty_score":0.09788865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500283338570064,"score_gpt":0.2578147030443033,"score_spread":0.2428118696586027,"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."}}