{"id":"W2511095891","doi":"10.5539/mas.v10n11p255","title":"Competitiveness of the Sugarcane Cluster in Goianesia-GO, Brazil","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Cluster (spacecraft); Diamond model; Business; Context (archaeology); Rivalry; Competitive advantage; Investment (military); Industrial organization; Marketing; Economics; China; Political science; Computer science; Geography; Politics","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":[0.000404314,0.0002090182,0.0002609215,0.001794616,0.001428991,0.001872537,0.0003194091,0.0003104012,0.002329608],"category_scores_gemma":[0.001020648,0.0001338416,0.0002161109,0.003004674,0.001099723,0.0005028012,0.001003876,0.0001940988,0.000133993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004491816,"about_ca_system_score_gemma":0.003680332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2720277,"about_ca_topic_score_gemma":0.3894252,"domain_scores_codex":[0.9996511,0.00005047043,0.000009516642,0.00006651786,0.0000813762,0.0001410238],"domain_scores_gemma":[0.9995819,0.00009645942,0.00008446979,0.00001716402,0.000126554,0.00009351514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002339804,0.0001285003,0.8836762,0.0004887714,0.0001299528,0.002828138,0.03937474,0.002391772,0.009061277,0.01992617,0.001489869,0.04027065],"study_design_scores_gemma":[0.000009721356,0.00008613249,0.9238078,0.00009989885,0.00004148129,0.0004371833,0.05941189,0.001246946,0.001066148,0.0009518317,0.01281118,0.00002975194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937088,0.0002180555,0.00008049601,0.0001382518,0.00000195911,0.00002643729,0.0001397366,0.000003629857,0.005682508],"genre_scores_gemma":[0.9988188,0.0001433544,0.0001149189,0.0000102101,8.208374e-7,0.000006245546,0.00009908558,0.000001966328,0.0008045761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2720277,"threshold_uncertainty_score":0.5408887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695663548217007,"score_gpt":0.2198292712069528,"score_spread":0.2028726357247828,"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."}}