{"id":"W3131037920","doi":"10.1177/0269094221993439","title":"Scaling up and scaling down supply chains in volatile resource-based economies","year":2020,"lang":"en","type":"article","venue":"Local Economy The Journal of the Local Economy Policy Unit","topic":"Mining and Resource Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Northern British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Business; Workforce; Resource (disambiguation); Scale (ratio); Supply chain; Emerging markets; Economies of scale; Industrial organization; Economics; Economic growth; Marketing; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008168773,0.0003292472,0.0005628467,0.0002867445,0.0001929848,0.0001420997,0.000781983,0.0001306961,0.00009693107],"category_scores_gemma":[0.00007124933,0.0002289561,0.0002166627,0.0002703771,0.0003722101,0.0001908957,0.0001932244,0.0007644006,0.00002391656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716504,"about_ca_system_score_gemma":0.0001347231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001614935,"about_ca_topic_score_gemma":0.00005826022,"domain_scores_codex":[0.9981006,0.000173991,0.0009673047,0.0001974771,0.00007124247,0.0004893633],"domain_scores_gemma":[0.9986215,0.0004219927,0.0002931131,0.0003334397,0.00002984445,0.0003001488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001023963,0.00001480906,0.0008775363,0.0001070916,0.0001226485,0.000004752996,0.002190212,0.969139,0.000005249766,0.001798881,0.001346727,0.02429066],"study_design_scores_gemma":[0.001466274,0.00007658647,0.0006586873,0.0001382987,0.00005702192,0.00003375113,0.003282534,0.7554801,0.0004602484,0.0006044587,0.2374623,0.0002796752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8644087,0.001198705,0.04389407,0.0426615,0.0003550228,0.0006092823,0.00002208184,0.0001168276,0.04673377],"genre_scores_gemma":[0.994112,0.00004354171,0.00009231083,0.004919334,0.0005957088,0.000007281211,0.000001509314,0.0000527887,0.0001755865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2361156,"threshold_uncertainty_score":0.933656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297493729010155,"score_gpt":0.2005053108386978,"score_spread":0.1875303735485963,"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."}}