{"id":"W4412989771","doi":"10.56952/arma-2025-0659","title":"A semi-quantitative discontinuity ranking approach to assist rock slope and foundation stability analyses","year":2025,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Discontinuity (linguistics); Foundation (evidence); Ranking (information retrieval); Stability (learning theory); Geology; Geotechnical engineering; Computer science; Information retrieval; Mathematics; Machine learning; Mathematical analysis","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":[0.009095388,0.0008725709,0.0008943839,0.006697326,0.0009119009,0.003177986,0.00169302,0.0006060431,0.007110036],"category_scores_gemma":[0.03165193,0.000466355,0.0006459428,0.002933525,0.0006888788,0.00153855,0.002345817,0.001424232,0.001822769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008150468,"about_ca_system_score_gemma":0.001826354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334237,"about_ca_topic_score_gemma":0.008772982,"domain_scores_codex":[0.9928907,0.003053233,0.0006384772,0.0006830887,0.002518438,0.0002160835],"domain_scores_gemma":[0.9749736,0.01278117,0.002072564,0.00270781,0.006754634,0.0007103616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005116834,0.000554878,0.03270536,0.0006920702,0.0002671473,0.0002349904,0.00176124,0.05211873,0.02124257,0.02724486,0.01470676,0.8479598],"study_design_scores_gemma":[0.0001257693,0.0003983079,0.02134068,0.0001356295,0.00007931998,0.0002606237,0.001213587,0.8958653,0.01435332,0.04879903,0.0172505,0.0001780492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01626158,0.00003039218,0.9783643,0.00006609458,0.00002181854,0.0002434787,0.0007287454,0.001822293,0.002461381],"genre_scores_gemma":[0.1703443,0.000019503,0.8274463,0.00002763859,0.00001980073,0.0002984685,0.0009213845,0.0001474179,0.0007751843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009095388,"threshold_uncertainty_score":0.04810154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318886991707481,"score_gpt":0.2939741426521459,"score_spread":0.2620854434813978,"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."}}