{"id":"W2028978013","doi":"10.1139/t02-082","title":"Discussion of \"An efficient search method for finding the critical circular slip surface using the Monte Carlo technique\"","year":2003,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Slip (aerodynamics); Geotechnical engineering; Computer science; Mathematical optimization; Engineering; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00275556,0.0002210704,0.0003212543,0.0001890513,0.0005186783,0.0001046015,0.0005752675,0.0002499703,0.00003278557],"category_scores_gemma":[0.000688023,0.0001211333,0.0003251627,0.0005801094,0.0001418594,0.00006264298,0.00002724722,0.001135445,0.000001111492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003386243,"about_ca_system_score_gemma":0.0002262411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501723,"about_ca_topic_score_gemma":0.0001222571,"domain_scores_codex":[0.9979922,0.0002195933,0.000476917,0.0002142476,0.0003674674,0.0007295433],"domain_scores_gemma":[0.9983848,0.0003547799,0.00004218398,0.0004988055,0.0001511903,0.0005682266],"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":[0.000002061635,0.00001124917,0.000003460976,0.00002931934,0.00003740347,0.00001484911,0.00005200471,0.986483,0.01154155,0.0006776405,0.00006738964,0.001080009],"study_design_scores_gemma":[0.000120646,0.0000422581,0.00002977617,0.00008639789,0.0001056866,0.0003582132,0.0002421323,0.9901351,0.004655978,0.0003152853,0.003710389,0.0001981466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02444401,0.0003909148,0.9734167,0.001089674,0.0001809735,0.000339617,0.00002658666,0.00008518126,0.0000263668],"genre_scores_gemma":[0.9682906,0.00001263078,0.03147849,0.00005148563,0.00008056223,0.0000163268,9.949473e-7,0.00005232198,0.00001659132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9438466,"threshold_uncertainty_score":0.4939674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0222016754302842,"score_gpt":0.2875869176055187,"score_spread":0.2653852421752346,"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."}}