{"id":"W2755742228","doi":"","title":"Probabilistic Support Design In Squeezing Ground","year":2012,"lang":"en","type":"article","venue":"ISRM International Symposium - EUROCK 2012","topic":"Engineering Structural Analysis Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Probabilistic logic; Computer science; Artificial intelligence","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":[0.0004317022,0.0002377011,0.0002124764,0.0001875123,0.00003065887,0.00005242697,0.0003468189,0.00008635747,0.0003995684],"category_scores_gemma":[0.00008314504,0.0002365709,0.00008500674,0.0002383309,0.00001973087,0.0007454284,0.0000653532,0.0002489578,0.0001979295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875611,"about_ca_system_score_gemma":0.000008593526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002160224,"about_ca_topic_score_gemma":0.000008558585,"domain_scores_codex":[0.9985897,0.0000689138,0.0003894443,0.0001898018,0.0003036441,0.0004584833],"domain_scores_gemma":[0.9993986,0.0001712994,0.00004463801,0.0001996649,0.00005252775,0.0001331988],"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":[0.00002531588,0.0001034759,0.0116725,0.0001217653,0.0002462536,0.00002331573,0.0009664099,0.872933,0.1026418,0.004852228,0.003029118,0.003384829],"study_design_scores_gemma":[0.002172759,0.0001662182,0.2436683,0.0002572256,0.0002855332,0.0005453785,0.000114846,0.5548148,0.03750446,0.003229824,0.1539989,0.003241812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5777128,0.001095948,0.3601004,0.0006705444,0.01182531,0.0008251484,0.00003803725,0.001441769,0.04629006],"genre_scores_gemma":[0.9871578,0.00003818448,0.01105593,0.00005533936,0.0005755091,0.00003838734,0.00002593575,0.00006090037,0.0009920103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.409445,"threshold_uncertainty_score":0.9647083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972028302737695,"score_gpt":0.2608311884257705,"score_spread":0.2411109053983935,"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."}}