{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007037893,0.001253438,0.0009478159,0.001283609,0.00056117,0.001119095,0.001103749,0.001097266,0.005428997],"category_scores_gemma":[0.002928107,0.0007394535,0.0006370594,0.00077838,0.0003184018,0.001498103,0.0005517161,0.000684745,0.003742013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007308372,"about_ca_system_score_gemma":0.001060075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002446599,"about_ca_topic_score_gemma":0.003941077,"domain_scores_codex":[0.9994424,0.0001142376,0.0000414412,0.00007364619,0.0002871976,0.00004097797],"domain_scores_gemma":[0.9990895,0.0002637111,0.0001015617,0.000239611,0.0002876525,0.00001802668],"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":[0.0001259887,0.0001382701,0.002742134,0.0001941082,0.00003392225,0.00009968914,0.0001596739,0.692336,0.09635534,0.007375059,0.002312987,0.1981268],"study_design_scores_gemma":[0.00001760461,0.00006487098,0.001122031,0.00002600003,0.00003125584,0.00006315713,0.00006404963,0.9276686,0.05704347,0.003012093,0.01086187,0.00002513979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02541739,0.00009154834,0.964811,0.00007126984,0.00001359467,0.0001078714,0.0002782204,0.001982286,0.007226737],"genre_scores_gemma":[0.6835549,0.0002993394,0.3078707,0.00004177251,0.0000149759,0.0004316719,0.001152623,0.0009378871,0.005696116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005428997,"threshold_uncertainty_score":0.01816183,"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."}}