{"id":"W2249730927","doi":"","title":"Mining today - issues, frustrations and insight : Mining Indaba 2015","year":2015,"lang":"en","type":"article","venue":"Inside mining","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mining industry; Mining engineering; Political science; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0003697055,0.0002638048,0.0003156928,0.0002084204,0.000110032,0.0001591607,0.0001617998,0.0001949551,0.00005123482],"category_scores_gemma":[0.0001400367,0.0002993265,0.00003905466,0.0001654979,0.00005447714,0.0004283281,0.0001103458,0.0001932263,0.00002692904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009610599,"about_ca_system_score_gemma":0.00006223169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005683222,"about_ca_topic_score_gemma":0.0001362617,"domain_scores_codex":[0.9987233,0.00002414236,0.0004378776,0.0002943108,0.0001309822,0.0003894177],"domain_scores_gemma":[0.9992103,0.00009881114,0.00007247489,0.000306693,0.00005405096,0.0002576495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005893134,0.00009723724,0.09427974,0.0002352976,0.0004045711,0.0003493778,0.1457224,0.02210493,0.002471616,0.003872803,0.5837826,0.1466205],"study_design_scores_gemma":[0.001976033,0.0004756726,0.005386476,0.0006393604,0.0001279685,0.0003479418,0.02117499,0.1940167,0.006879735,0.0011442,0.7654603,0.002370691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569184,0.001880734,0.0009755818,0.0002790296,0.0004915381,0.0001292654,0.000009022775,0.0007285041,0.03858794],"genre_scores_gemma":[0.9143454,0.00009506007,0.08461022,0.0001331451,0.0002960042,0.0000294593,0.00001773212,0.0000752446,0.0003977788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1816777,"threshold_uncertainty_score":0.9999459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04696064568654291,"score_gpt":0.2629229019010675,"score_spread":0.2159622562145246,"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."}}