{"id":"W2492902356","doi":"10.1111/twec.12495","title":"Global production sharing: Exploring Australia's competitive edge","year":2017,"lang":"en","type":"article","venue":"World Economy","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Production (economics); Industrial organization; Globalization; Competitive advantage; Economics; Business; International trade; Enhanced Data Rates for GSM Evolution; Commerce; Economic geography; Computer science; Marketing; Market economy; Telecommunications; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008720697,0.0001337716,0.0001827304,0.001262578,0.0009644272,0.00228288,0.0003374722,0.0003540585,0.005112633],"category_scores_gemma":[0.00331472,0.00008762265,0.0001567315,0.002330098,0.001134757,0.001611413,0.002840737,0.0005201433,0.0002109436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114595,"about_ca_system_score_gemma":0.001555742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04345406,"about_ca_topic_score_gemma":0.05636775,"domain_scores_codex":[0.9993535,0.0001632278,0.00001892655,0.00008242978,0.000201084,0.0001808163],"domain_scores_gemma":[0.9971884,0.000858102,0.0007787778,0.0001325004,0.0006091148,0.000433172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002538688,0.000204911,0.7694328,0.0002390346,0.0001228982,0.001646152,0.0369564,0.006923412,0.002488553,0.07390507,0.003980294,0.1038465],"study_design_scores_gemma":[0.000008284593,0.0001882517,0.9215065,0.0001184843,0.0000403687,0.0001822254,0.03676822,0.008934442,0.0004717817,0.01193952,0.01981174,0.00003027044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712647,0.000126932,0.0004567604,0.0007115793,0.000005138684,0.00001255708,0.00009855271,0.000003213478,0.02732069],"genre_scores_gemma":[0.9991346,0.0000410506,0.00006644939,0.00002909666,0.0000018713,0.000002274337,0.00002213456,8.67928e-7,0.0007016604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04345406,"threshold_uncertainty_score":0.08640224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2404836189831936,"score_gpt":0.2727564950633866,"score_spread":0.032272876080193,"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."}}