{"id":"W2774628695","doi":"10.3167/fcl.2017.790107","title":"Soft skills, hard rocks","year":2017,"lang":"en","type":"article","venue":"Focaal","topic":"Mining and Resource Management","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Soft skills; Work (physics); Value (mathematics); Training (meteorology); Sign (mathematics); Wage; Public relations; Political science; Business; Sociology; Management; Law; Geography; Engineering; Economics; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.00004402972,0.0000620547,0.00006255531,0.00002014496,0.0001362918,0.00006936125,0.0001856162,0.00003144499,0.00009592805],"category_scores_gemma":[0.00001661414,0.00005583224,0.00002983741,0.000008291963,0.00001517121,0.00002935659,0.00005240196,0.00006522145,0.0003702956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001095649,"about_ca_system_score_gemma":0.000001720261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137469,"about_ca_topic_score_gemma":0.000003090147,"domain_scores_codex":[0.9996603,0.000002473398,0.00005516579,0.00007364614,0.00007054162,0.0001379367],"domain_scores_gemma":[0.9996274,0.00000512295,0.00001274285,0.0003119478,0.000004674545,0.00003818304],"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":[0.00001036727,0.00009979331,0.01799817,0.0002273528,0.0002880053,0.0001316598,0.002681777,0.07181287,0.0008486842,0.001212398,0.4866575,0.4180315],"study_design_scores_gemma":[0.0002855445,0.00002076838,0.03612682,0.00003341068,0.00001401806,0.000002873025,0.00005606148,0.02091013,0.0006133518,0.00006282723,0.9416888,0.0001854159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4666242,0.0002417741,0.01272926,0.0002485037,0.001315954,0.00009179363,0.000004760275,0.0005318193,0.5182119],"genre_scores_gemma":[0.9878557,0.000009283903,0.0002829814,0.00002529484,0.000219653,0.000004526767,0.0000016346,0.00001525925,0.01158567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5212315,"threshold_uncertainty_score":0.4759525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009629433808545676,"score_gpt":0.2085500025159155,"score_spread":0.1989205687073698,"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."}}