{"id":"W7000132364","doi":"","title":"Enhancing the stability of railroad ballast with geogrid reinforcement: an experimental and discrete element modeling study","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Ballast; Geogrid; Stability (learning theory); Finite element method; Discrete element method","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004395602,0.0003478517,0.0006145214,0.0004593674,0.000475621,0.0007749629,0.0007414999,0.0008669845,0.002721595],"category_scores_gemma":[0.001200852,0.0003351012,0.0004197629,0.0002340066,0.0007322598,0.0006296773,0.0004248789,0.0004177743,0.0005734543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006023067,"about_ca_system_score_gemma":0.0005947556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006522805,"about_ca_topic_score_gemma":0.005470989,"domain_scores_codex":[0.9997928,0.00004642838,0.000008772307,0.00003783268,0.00007873736,0.00003534852],"domain_scores_gemma":[0.9993246,0.0002836883,0.00008200909,0.00008947896,0.0001678726,0.00005249397],"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":[0.001499154,0.0004939134,0.005642234,0.0002205425,0.00003750716,0.0003008373,0.0003128953,0.8337613,0.1374876,0.00150834,0.001096675,0.01763897],"study_design_scores_gemma":[0.00005019468,0.0004723354,0.002162659,0.00001095007,0.00002141425,0.00002513258,0.0001462606,0.9709091,0.02523565,0.0001748159,0.0007763569,0.00001510381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622151,0.0001052222,0.03175892,0.0002008444,0.00005048427,0.00006577957,0.0001406549,0.0004241473,0.00503886],"genre_scores_gemma":[0.9964269,0.00003532051,0.002015325,0.000009552755,0.000001893923,0.00001779703,0.00003688365,0.00002153032,0.001434745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006522805,"threshold_uncertainty_score":0.01296967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521451253799683,"score_gpt":0.2688870038142565,"score_spread":0.2536724912762596,"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."}}