{"id":"W2980003499","doi":"10.36487/acg_rep/1925_08_falmagne","title":"Ground support challenges in arctic mining conditions","year":2019,"lang":"en","type":"article","venue":"","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnico Eagle (Canada)","funders":"","keywords":"Permafrost; Excavation; Arctic; Groundwater; Geology; Drilling; Environmental science; Mining engineering; Geotechnical engineering; Engineering; Oceanography","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":[0.001302321,0.0004199519,0.0003420408,0.0006560751,0.004414955,0.003383412,0.0009956406,0.001134083,0.008005925],"category_scores_gemma":[0.002363788,0.0002267993,0.0003318818,0.0007949182,0.001239818,0.001113118,0.002555166,0.001134714,0.001562351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00233193,"about_ca_system_score_gemma":0.004677076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06996401,"about_ca_topic_score_gemma":0.1858093,"domain_scores_codex":[0.9984816,0.0002932921,0.00008283813,0.0001523423,0.0004915438,0.0004983371],"domain_scores_gemma":[0.9983182,0.0001879656,0.0001825593,0.0000745231,0.0007599559,0.0004768051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009906323,0.0006598543,0.2758239,0.002945032,0.0002104416,0.02898267,0.0258377,0.01667191,0.01897071,0.02786895,0.08240604,0.5186322],"study_design_scores_gemma":[0.00004061452,0.0008909104,0.2316091,0.002808762,0.0001159702,0.0187566,0.1805831,0.007202599,0.003933174,0.01571959,0.5381331,0.0002064558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051026,0.01156986,0.009574957,0.02710547,0.003435308,0.0001695382,0.00172566,0.0002536956,0.1410628],"genre_scores_gemma":[0.9669682,0.007600794,0.007044362,0.002156362,0.0005242062,0.00007539665,0.0008926484,0.00009387517,0.01464411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06996401,"threshold_uncertainty_score":0.1391135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930864315855263,"score_gpt":0.2068765231209403,"score_spread":0.1875678799623877,"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."}}