{"id":"W4400241755","doi":"10.11159/ijci.2024.008","title":"Stability Assessment of Crown Pillar for an Underground Mine Using K-Cross Validation Technique","year":2024,"lang":"en","type":"article","venue":"International Journal of Civil Infrastructure","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pillar; Crown (dentistry); Stability (learning theory); Mining engineering; Environmental science; Engineering; Forensic engineering; Structural engineering; Computer science; Materials science; Composite material; Machine learning","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":[0.00319224,0.0008286597,0.0007397168,0.001164816,0.0005378746,0.000638865,0.0007579759,0.001085795,0.001154948],"category_scores_gemma":[0.005998698,0.0003472928,0.001031715,0.0004859926,0.0003897142,0.000586428,0.0006074599,0.0006674874,0.0002709525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003900905,"about_ca_system_score_gemma":0.0007887956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012776,"about_ca_topic_score_gemma":0.00803315,"domain_scores_codex":[0.9992944,0.0002334407,0.00007254886,0.000166757,0.0001495807,0.00008324736],"domain_scores_gemma":[0.9962516,0.001889036,0.0004296791,0.0003313363,0.0009980293,0.0001002506],"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":[0.0003442893,0.0002256776,0.04142906,0.0001434452,0.0002420992,0.0001489171,0.0001476972,0.8892713,0.01361064,0.0005448898,0.0004345459,0.0534574],"study_design_scores_gemma":[0.000003270739,0.00009298629,0.005886863,0.00001031973,0.00001352491,0.00001823587,0.00002387994,0.9919565,0.001810405,0.00007921684,0.00009494469,0.000009949401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7739775,0.0003236461,0.2238129,0.00007351277,0.00003088921,0.00005331169,0.0001827365,0.0005562421,0.0009892937],"genre_scores_gemma":[0.9792392,0.00004253172,0.02003782,0.000009492572,0.000002917913,0.00003399135,0.0002916628,0.00002160898,0.0003206196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01012776,"threshold_uncertainty_score":0.02013761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223626213524013,"score_gpt":0.3338956644694578,"score_spread":0.3115330431170565,"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."}}