{"id":"W2517709833","doi":"10.5539/mas.v10n12p177","title":"Analyze the Competitiveness of Iran in the Aluminum Export with the Use of Analyze the Share Shift Index and Trademapping Index","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Structural change; Market share; Business; Revealed comparative advantage; Industrial organization; Economics; International trade; Comparative advantage; Computer science; Market economy; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005386267,0.000340515,0.000162381,0.003131876,0.0002403888,0.000872437,0.0002053553,0.0001579281,0.003102116],"category_scores_gemma":[0.001241422,0.00006141506,0.0005333041,0.002963411,0.0002500852,0.0006931755,0.0005089459,0.0002585711,0.000337594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007431305,"about_ca_system_score_gemma":0.0007261927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008272521,"about_ca_topic_score_gemma":0.008891864,"domain_scores_codex":[0.9996231,0.00003431232,0.00002598343,0.00004072794,0.0002067835,0.00006920607],"domain_scores_gemma":[0.9993371,0.0001037101,0.0002359056,0.00003143702,0.0002373406,0.00005446977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001015039,0.00007839921,0.939471,0.000105096,0.0001325053,0.0002201614,0.0009112409,0.002014592,0.00190436,0.002785245,0.00191295,0.05036281],"study_design_scores_gemma":[0.0000046849,0.0001162793,0.9880688,0.00001595066,0.00004516104,0.0001031043,0.00181943,0.002523342,0.001346484,0.0005672805,0.005376521,0.00001290691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833503,0.0002787329,0.0008204003,0.0001635484,0.00002095911,0.0000209084,0.0008234942,0.00001859309,0.01450311],"genre_scores_gemma":[0.9972267,0.0001515215,0.0005052621,0.00001101577,0.00001850133,0.000007777357,0.0008350551,0.000004296958,0.001239771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008272521,"threshold_uncertainty_score":0.01644874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205008531194874,"score_gpt":0.2253631453509157,"score_spread":0.183313060038967,"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."}}