{"id":"W2617305017","doi":"10.36487/acg_rep/1511_21_grenon","title":"Statistical characterisation of intact rock properties at a Canadian underground mining project","year":2015,"lang":"en","type":"article","venue":"","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Glencore (Canada)","funders":"","keywords":"Mining engineering; Geology; Underground mining (soft rock); Statistical analysis; Computer science; Engineering; Statistics; Coal mining; Mathematics; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001827846,0.0003920341,0.0003799693,0.001671432,0.001030255,0.0006481379,0.001019737,0.0003341142,0.0007900975],"category_scores_gemma":[0.005403998,0.0001631309,0.0002999522,0.002526019,0.001038573,0.000248698,0.0005134642,0.0004444598,0.0001235766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550821,"about_ca_system_score_gemma":0.00573556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7220344,"about_ca_topic_score_gemma":0.8369039,"domain_scores_codex":[0.9981446,0.0001034224,0.00005840844,0.0002300952,0.001224289,0.0002392176],"domain_scores_gemma":[0.9932395,0.001424547,0.0008058219,0.0004079443,0.00373051,0.0003916539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000639391,0.0002307839,0.8606372,0.0001245341,0.0001773947,0.0008030919,0.001380225,0.03671243,0.03558265,0.0008364591,0.0007099871,0.06216585],"study_design_scores_gemma":[0.000004350676,0.0001460418,0.9784101,0.000006949802,0.00002381641,0.00006988314,0.0007034031,0.01401958,0.005585646,0.00007318454,0.0009359949,0.00002106884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958103,0.00002948492,0.002294291,0.00001305915,9.92169e-7,0.00003581605,0.0008046466,0.00002687717,0.0009845216],"genre_scores_gemma":[0.9956859,0.00003728978,0.002277941,0.000004714052,0.000001009772,0.00002640935,0.001067609,0.00000933207,0.0008897314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2779656,"threshold_uncertainty_score":0.5592052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06621178293745889,"score_gpt":0.2340359746044643,"score_spread":0.1678241916670055,"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."}}