{"id":"W2502346253","doi":"","title":"Methodological Aspects of Forming the Vegetable Micro-Cluster, and its Influence on Sustainability of the Industry","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Cluster (spacecraft); Government (linguistics); Cluster development; Business cluster; Business; Sustainable development; Industrial organization; Computer science; Political science; Ecology; Engineering","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":[0.007541825,0.0002242549,0.0002074036,0.001337947,0.002864552,0.002950818,0.0009710593,0.0005963678,0.003390818],"category_scores_gemma":[0.01353484,0.000181552,0.0002671701,0.001930319,0.003723086,0.001624813,0.002394106,0.0006190354,0.0002573603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003863298,"about_ca_system_score_gemma":0.006190044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008371201,"about_ca_topic_score_gemma":0.02056908,"domain_scores_codex":[0.9930876,0.005343851,0.0002179921,0.0006526029,0.0004256124,0.0002723428],"domain_scores_gemma":[0.9943478,0.00294615,0.0007318813,0.0006649051,0.001000689,0.0003086687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001515799,0.0001111895,0.02867308,0.0004088007,0.00007424784,0.0002702376,0.01719222,0.004676304,0.001816656,0.8994981,0.001465979,0.04566155],"study_design_scores_gemma":[0.0001307459,0.0003985745,0.05734876,0.0007100488,0.0001757304,0.0004748996,0.09288254,0.01314603,0.006036768,0.6593382,0.1692611,0.0000965989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4853157,0.001653452,0.3909456,0.009460812,0.0002850272,0.001711815,0.0004810144,0.00005523471,0.1100915],"genre_scores_gemma":[0.9095375,0.0005277094,0.08189069,0.0002107461,0.00006232461,0.00104489,0.00008541379,0.00002865761,0.006612123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008371201,"threshold_uncertainty_score":0.03988546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846800802199161,"score_gpt":0.2584117663695163,"score_spread":0.2199437583475247,"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."}}