{"id":"W2201025148","doi":"","title":"Global Mining at the Edge of Transformation","year":2015,"lang":"en","type":"article","venue":"Research-Technology Management","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Boom; Bust; Analytics; Business; Productivity; Information technology; Commodity; Engineering; Industrial organization; Economy; Economics; Computer science; Finance; Economic growth; Data science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008736833,0.00006886237,0.00009748642,0.0002044672,0.00005933405,0.00001163853,0.0003619698,0.00009510944,0.00002903052],"category_scores_gemma":[0.00001575552,0.00005762173,0.00002455369,0.0004328327,0.0001679064,0.00005484539,0.0002350411,0.00009870533,0.00004398681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002998304,"about_ca_system_score_gemma":0.000007434491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009087558,"about_ca_topic_score_gemma":0.00006625176,"domain_scores_codex":[0.9992671,0.00001911474,0.0001796719,0.0001022595,0.000153747,0.0002781189],"domain_scores_gemma":[0.9995423,0.00001493597,0.00001739753,0.0003496145,0.00004054522,0.00003523661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006857458,0.00006782376,0.002809898,0.0004691851,0.0003024581,0.00002842535,0.001421163,0.01801456,0.0001927852,0.4164276,0.2960304,0.2641672],"study_design_scores_gemma":[0.001281358,0.0004091279,0.0009524543,0.000136961,0.00004130876,0.0000344405,0.01000095,0.08984228,0.01288893,0.05531739,0.8286804,0.0004144099],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8084673,0.0005614329,0.00904573,0.00196872,0.0001369577,0.0005225951,0.000009321767,0.0005825376,0.1787054],"genre_scores_gemma":[0.9968386,0.0003026689,0.002387456,0.000008917208,0.00001273849,0.0000787852,0.000004652375,0.00001095654,0.000355178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.53265,"threshold_uncertainty_score":0.2349746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07440047453129674,"score_gpt":0.3242166359169308,"score_spread":0.2498161613856341,"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."}}