{"id":"W3173620844","doi":"10.1080/19236026.2020.1734396","title":"Designing Sustainable Prosperity “DSP”: A collaborative effort to build resilience in mining producing regions","year":2020,"lang":"en","type":"article","venue":"CIM Journal","topic":"Mining and Resource Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Prosperity; Natural resource; Sustainable development; Business; Resource (disambiguation); Process (computing); Resilience (materials science); Population; Environmental resource management; Economic growth; Environmental planning; Natural resource economics; Economics; Geography; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000737074,0.000142907,0.0001934591,0.0001655252,0.0002177302,0.0001572893,0.0002123669,0.00004195465,0.00002403133],"category_scores_gemma":[0.0003630865,0.000136633,0.00003171187,0.0009364208,0.00002215732,0.0001472076,0.00008213432,0.0003698903,0.000008371506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036162,"about_ca_system_score_gemma":0.00008987496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000599117,"about_ca_topic_score_gemma":0.000004338407,"domain_scores_codex":[0.9987178,0.000049228,0.000281305,0.0002293755,0.0002603582,0.0004619415],"domain_scores_gemma":[0.9994345,0.00002608509,0.00004808116,0.0001362073,0.0001175423,0.0002375784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005370881,0.00002925568,0.01489464,0.0002170212,0.00005056168,0.0006328307,0.07756173,0.8709089,0.003347309,0.0002076629,0.0288757,0.00322075],"study_design_scores_gemma":[0.004592765,0.001386597,0.04099539,0.002898606,0.0001832784,0.0004112584,0.4159676,0.2900374,0.02416893,0.0003103105,0.2164123,0.002635596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684302,0.0007052581,0.01815998,0.001817402,0.0001343896,0.000592307,7.184713e-7,0.0001310642,0.01002871],"genre_scores_gemma":[0.9901029,0.00002299529,0.009032822,0.0001899835,0.0002296351,0.00003910256,4.922374e-7,0.00002687818,0.0003552107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5808715,"threshold_uncertainty_score":0.5571732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115369269465218,"score_gpt":0.2247843129538121,"score_spread":0.2136306202591599,"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."}}