{"id":"W4382279577","doi":"10.1007/s12665-023-11027-6","title":"Advancements in rock block volume calculation by analytical method for geological engineering applications","year":2023,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rock mass classification; Block (permutation group theory); Volume (thermodynamics); Geology; Algorithm; Rock mechanics; Orientation (vector space); Computer science; Software; Joint (building); Geotechnical engineering; Geometry; Mathematics; Engineering; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002124203,0.00008356212,0.00009000074,0.00008038206,0.00008776702,0.0000164666,0.0001026676,0.00004038304,0.00002103623],"category_scores_gemma":[0.000006888891,0.00008316606,0.00002962639,0.0002176784,0.00001075071,0.00009582194,0.00003606775,0.00005854191,0.00004833956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002139786,"about_ca_system_score_gemma":0.000002737364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002405196,"about_ca_topic_score_gemma":0.000001412535,"domain_scores_codex":[0.9992351,0.000005622942,0.0001543845,0.0002071305,0.0001498824,0.0002478855],"domain_scores_gemma":[0.9998384,0.00003145774,0.00001244045,0.00006658054,0.000001195068,0.00004993291],"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":[6.415966e-7,0.000009329062,0.0007314004,0.000004586952,0.000002710091,2.493138e-7,0.0000225191,0.9779062,0.01923692,0.0001274708,0.00006387426,0.001894114],"study_design_scores_gemma":[0.00009087425,0.00002523895,0.001277597,0.00000363344,0.000003103956,7.781147e-7,0.00003104528,0.9845212,0.002200706,0.00009317274,0.01165427,0.00009843893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3177167,0.0001115742,0.6816008,0.00004746774,0.00006279746,0.0002798917,0.00002083071,0.00009758885,0.00006232777],"genre_scores_gemma":[0.9858654,0.00006192995,0.0136288,0.00001663309,0.00002488728,0.0001225303,0.00003118725,0.000008976824,0.000239704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6681486,"threshold_uncertainty_score":0.3391414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390651851417773,"score_gpt":0.2525534420931541,"score_spread":0.2386469235789763,"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."}}