{"id":"W6931965733","doi":"10.5291/ill-data.1-07-45","title":"Early-stage mechanical degradation of earthen masonry through coupled N/X tomography","year":2025,"lang":"en","type":"dataset","venue":"Institut Laue-Langevin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Masonry; Tomography; Computed tomography; Deformation (meteorology); Thermography","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":[0.0007085071,0.002159173,0.001204068,0.002576744,0.0006451326,0.001225018,0.002221422,0.00288539,0.0159706],"category_scores_gemma":[0.002347964,0.0007029558,0.001724013,0.00412437,0.0006647364,0.0009747586,0.001163436,0.001143065,0.02544274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000828589,"about_ca_system_score_gemma":0.001323576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0472193,"about_ca_topic_score_gemma":0.1143953,"domain_scores_codex":[0.9993513,0.00007588595,0.00004294353,0.0002068276,0.0002006396,0.0001224953],"domain_scores_gemma":[0.999194,0.0002043404,0.0000814406,0.000211955,0.0002532075,0.00005502632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003406639,0.0001398239,0.009067251,0.002150573,0.0003632686,0.0002602694,0.0001084173,0.02111891,0.002707972,0.0009952161,0.9420465,0.02070106],"study_design_scores_gemma":[0.0005499848,0.00008466728,0.05519795,0.0009694214,0.0002545371,0.0003119877,0.0003363763,0.01805585,0.004376335,0.006111768,0.9135252,0.0002258785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004023879,0.0005129584,0.0008083973,0.0001357574,0.00007530626,0.00001539802,0.9911557,0.001490682,0.001781871],"genre_scores_gemma":[0.007219165,0.0002341663,0.001577052,0.00004642167,0.00001942211,0.0000474123,0.989205,0.0001713429,0.001479944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0472193,"threshold_uncertainty_score":0.09388894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721697480713591,"score_gpt":0.2853203399683838,"score_spread":0.2581033651612479,"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."}}