{"id":"W4383336990","doi":"10.1016/j.conbuildmat.2023.132273","title":"Estimate of three-dimensional Wadell roundness of irregular particles using image processing and topographic analysis","year":2023,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"State Key Laboratory of Coal Resources and Safe Mining; Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources; China Scholarship Council; National Natural Science Foundation of China","keywords":"Roundness (object); Computation; Computer science; Mathematics; Algorithm; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002612826,0.00007572783,0.0002111209,0.0001068481,0.0001072084,0.00003940497,0.00003451238,0.00005183986,0.0001589033],"category_scores_gemma":[0.000010114,0.00005848503,0.00003038337,0.000477387,0.000413822,0.0001439633,0.00008638767,0.00002273682,9.148065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007460727,"about_ca_system_score_gemma":0.000005761635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000163505,"about_ca_topic_score_gemma":0.000007812285,"domain_scores_codex":[0.9993401,0.000025104,0.0002367764,0.00016247,0.0001208845,0.000114642],"domain_scores_gemma":[0.9997184,0.00001479973,0.0001461503,0.00006966668,0.00001427871,0.00003668616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001850476,0.00000641778,0.06164045,0.00005484063,0.00004791616,0.000001522726,0.00004916399,0.00176016,0.9315929,0.0001221191,0.00000215977,0.004703825],"study_design_scores_gemma":[0.0004019486,0.00002481116,0.117689,0.0001143863,0.0004726515,0.0000562829,0.0001090268,0.04756287,0.8302083,0.00317101,0.00001806872,0.0001716061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985556,0.00005694686,0.001176265,0.00002556001,0.0000850282,0.00005573328,0.00001075141,0.00002366861,0.00001047041],"genre_scores_gemma":[0.9886482,0.00002549053,0.01130161,0.000002875631,0.00000899414,0.000001089076,0.000003426397,0.000005234267,0.00000307105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1013846,"threshold_uncertainty_score":0.238495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428322939614945,"score_gpt":0.2562782416065167,"score_spread":0.2419950122103672,"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."}}