{"id":"W3145096650","doi":"10.82308/20299","title":"Laboratory investigation into soundless chemical demolition agents for rock breakage in underground mines","year":2019,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Demolition; Breakage; Mining engineering; Geology; Underground mining (soft rock); Forensic engineering; Engineering; Waste management; Coal mining; Civil engineering; Computer science; Coal","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000379875,0.0003101205,0.0003328028,0.0002351795,0.0001105141,0.00005164161,0.0002336016,0.0002730182,0.00002108019],"category_scores_gemma":[0.0001738588,0.0003673495,0.00008860205,0.0003916717,0.000009694116,0.0005529333,0.00006751869,0.0003108517,0.00008046054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005486425,"about_ca_system_score_gemma":0.00001356575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004753314,"about_ca_topic_score_gemma":0.0001203191,"domain_scores_codex":[0.9984688,0.00003532654,0.0004161212,0.0003942414,0.0002279285,0.0004576234],"domain_scores_gemma":[0.9992258,0.0001287065,0.00006381152,0.0003137731,0.0001030133,0.0001648829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001990865,0.00005199929,0.000144889,0.003019679,0.0000789507,0.000008396308,0.00002760374,0.01917823,0.9215468,0.05436928,0.00001306985,0.001541216],"study_design_scores_gemma":[0.004884191,0.0002126915,0.0014375,0.002574663,0.0001544121,0.00003420472,0.0004369516,0.09945104,0.7733637,0.09723641,0.01742846,0.002785793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973249,0.00009706865,0.00007479711,0.000009367937,0.0006424772,0.0005236242,0.0001240468,0.000323075,0.0008806835],"genre_scores_gemma":[0.9978487,0.00002123322,0.001407983,0.00009565481,0.00003257958,0.0001448844,0.0001039293,0.0001164109,0.0002286002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1481831,"threshold_uncertainty_score":0.9998779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011030181556195,"score_gpt":0.1995087491358554,"score_spread":0.1884785675796604,"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."}}