{"id":"W2734633914","doi":"10.1080/14749009.2017.1351115","title":"Cave fragmentation in a cave-to-mill context at the New Afton Mine part I: fragmentation and hang-up frequency prediction","year":2017,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cave; Fragmentation (computing); Excavation; Mining engineering; Geology; Hang; Context (archaeology); Archaeology; Geography; Engineering; Geotechnical engineering; Computer science; 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":[0.0002125895,0.0001522065,0.0002252337,0.0003187395,0.0006396329,0.00002800912,0.0002315279,0.0001545088,0.000018569],"category_scores_gemma":[0.0001254559,0.0001187587,0.00004775519,0.0002465119,0.0004568244,0.0002067134,0.00003569491,0.0001587697,9.66161e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006876769,"about_ca_system_score_gemma":0.00004509983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370806,"about_ca_topic_score_gemma":0.002182425,"domain_scores_codex":[0.9991229,0.00002201227,0.0003646475,0.0001979904,0.0001177826,0.0001746698],"domain_scores_gemma":[0.9993238,0.0000580465,0.0001510736,0.0003798017,0.00004248584,0.00004472012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002003807,0.000260359,0.05275044,0.0006634824,0.001001605,0.00001147815,0.03691014,0.2258196,0.2457293,0.003758061,0.001474429,0.4314207],"study_design_scores_gemma":[0.0221875,0.002457722,0.1806974,0.0122883,0.004031808,0.001114436,0.08964907,0.1262998,0.524626,0.004768071,0.02816982,0.003710079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834636,0.0008659128,0.01328051,0.001162523,0.000515845,0.0001957516,0.00002908661,0.00006570941,0.0004210955],"genre_scores_gemma":[0.9953741,0.000174541,0.003635963,0.00001762817,0.00002194875,0.00005111673,0.000005386115,0.00001242874,0.0007069202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4277106,"threshold_uncertainty_score":0.4919603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465923422501949,"score_gpt":0.2549537768069362,"score_spread":0.2302945425819167,"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."}}