{"id":"W3021712833","doi":"","title":"Obtaining Modeling Parameters For Engineering Design By Rock Mass Characterization","year":2007,"lang":"en","type":"article","venue":"11th ISRM Congress","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Characterization (materials science); Rock mass classification; Geology; Computer science; Geotechnical engineering; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004376964,0.0002741887,0.0002779475,0.0001234507,0.00006222602,0.0000615375,0.0002049882,0.0002007431,0.000009893357],"category_scores_gemma":[0.000147025,0.0002969305,0.00009007089,0.0002242805,0.000005285287,0.0001970252,0.00002478862,0.0002372357,0.00001274508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007547135,"about_ca_system_score_gemma":0.000006787353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002424997,"about_ca_topic_score_gemma":3.656739e-7,"domain_scores_codex":[0.9985074,0.000006755572,0.0004075356,0.0002638784,0.0001689399,0.0006455168],"domain_scores_gemma":[0.9993204,0.000233134,0.00003461717,0.0001993049,0.00005955117,0.0001529966],"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":[0.00001384059,0.000006243313,0.000002757055,0.00008387485,0.00003042985,0.000002929445,0.000026116,0.8569784,0.1357468,0.0001589319,0.00005105228,0.006898643],"study_design_scores_gemma":[0.0002818183,0.00004170826,0.000002597877,0.00008912935,0.00001891499,0.000003054883,0.00001551403,0.9600655,0.03433106,0.00008835609,0.004697227,0.0003651002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01939585,0.0001330838,0.9782981,0.00003037951,0.0007754245,0.0003962812,0.00002486922,0.0009141241,0.00003187176],"genre_scores_gemma":[0.9645526,0.0000310279,0.03494968,0.00004912851,0.0001091183,0.00008452605,0.00006397159,0.00009742758,0.00006253545],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9451568,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674554213371932,"score_gpt":0.2048884459136775,"score_spread":0.1881429037799582,"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."}}