{"id":"W3092510789","doi":"10.1016/j.mineng.2020.106663","title":"Microwave-assisted damage and fracturing of hard rocks and its implications for effective mineral resources recovery","year":2020,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northeastern University; Key Laboratory of Safe Mining of Deep Metal Mines, Ministry of Education; National Natural Science Foundation of China; Providence Health Care","keywords":"Microwave; Fracture (geology); Drilling; Ultimate tensile strength; Radiation damage; Materials science; Compressive strength; Radiation; Geology; Petroleum engineering; Geotechnical engineering; Composite material; Engineering; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001297315,0.0001776077,0.000196974,0.0002425636,0.0001863105,0.0002842604,0.0003929278,0.0005112431,0.001223693],"category_scores_gemma":[0.0004989138,0.0001166754,0.0001699127,0.0002051379,0.0006249412,0.0005156533,0.0003028131,0.0002924583,0.0001543731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029803,"about_ca_system_score_gemma":0.0001214296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602417,"about_ca_topic_score_gemma":0.001798657,"domain_scores_codex":[0.9999491,0.000007562193,0.000001456476,0.000008010436,0.00002117769,0.00001272058],"domain_scores_gemma":[0.9998901,0.00005039456,0.00002248544,0.00001530371,0.00001488776,0.000006826122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003599588,0.0003689272,0.01303828,0.0003624962,0.0000624137,0.0007613004,0.0002517294,0.7028776,0.1922677,0.03662183,0.001353269,0.0516745],"study_design_scores_gemma":[0.00001694926,0.0001226358,0.02298331,0.00002092755,0.0000140971,0.0002584229,0.0001685977,0.9432272,0.0192346,0.01202248,0.001899626,0.00003109578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298753,0.002649234,0.04976403,0.0006940792,0.0000736203,0.0000349335,0.0001556318,0.0001325492,0.01662055],"genre_scores_gemma":[0.9960105,0.0005047006,0.001232309,0.00001254178,0.00001501143,0.000006698261,0.00002011773,0.000005013145,0.002193164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001602417,"threshold_uncertainty_score":0.004093647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534290656594916,"score_gpt":0.209352037109044,"score_spread":0.1940091305430948,"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."}}