{"id":"W4409360524","doi":"10.1139/cgj-2024-0736","title":"Enhancement and assessment of large vision models for 3D particle reconstruction from X-ray tomography","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tomography; Computed tomography; Computer science; Geology; Geotechnical engineering; Physics; Optics; Medicine; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021898,0.0005861561,0.0004923867,0.0007377712,0.0002153688,0.001077245,0.0007433273,0.0007284461,0.0008065043],"category_scores_gemma":[0.001976828,0.0003048341,0.0005991229,0.0003745397,0.0004997384,0.001017768,0.001046638,0.0006583551,0.0002271893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004786729,"about_ca_system_score_gemma":0.001023871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002298682,"about_ca_topic_score_gemma":0.003110453,"domain_scores_codex":[0.9996998,0.00005383694,0.00001489779,0.00005067347,0.0001497556,0.00003096682],"domain_scores_gemma":[0.9995327,0.0001862828,0.00006346348,0.00007279296,0.0001136494,0.00003107607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001943005,0.0001424134,0.00432351,0.0003135589,0.00007490236,0.0002874046,0.0002437922,0.6260059,0.1231054,0.01362701,0.001178407,0.2305035],"study_design_scores_gemma":[0.000004336592,0.00002825713,0.0003567796,0.000006029852,0.000007157384,0.00005410315,0.00001846363,0.9862626,0.01192283,0.0008198265,0.000510794,0.000008789395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05841308,0.0001880497,0.9396514,0.00008902905,0.00001448174,0.0000461815,0.00005194634,0.0006804416,0.0008653959],"genre_scores_gemma":[0.5037141,0.0003401339,0.4947983,0.00006211844,0.00001197537,0.00007057999,0.0002103555,0.0001301034,0.0006624085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002298682,"threshold_uncertainty_score":0.005404353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007496010456016883,"score_gpt":0.2599582107767825,"score_spread":0.2524622003207656,"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."}}