{"id":"W2606302690","doi":"","title":"AGRO-INDUSTRIAL CLUSTERS: OPPORTUNITIES FOR INNOVATIVE DEVELOPMENT AND FINANCING","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":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolitics; Business; Russian federation; Finance; Cluster (spacecraft); Industrial organization; Financial stability; Economics; Computer science; Financial system; Economic policy; Political science","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":[0.0006406466,0.0001508041,0.0001409804,0.001011679,0.00100681,0.004055857,0.0004449045,0.000701432,0.005682161],"category_scores_gemma":[0.0009024479,0.0001171707,0.0001914052,0.001165341,0.001362872,0.00201423,0.001902087,0.0004750392,0.0004995748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002686834,"about_ca_system_score_gemma":0.003497231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498764,"about_ca_topic_score_gemma":0.002168889,"domain_scores_codex":[0.9996539,0.0001057593,0.00001170273,0.00004551455,0.00006114906,0.0001220215],"domain_scores_gemma":[0.9992726,0.000152216,0.0001572688,0.00008757385,0.0001210543,0.0002092759],"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":[0.0000587523,0.00006271806,0.01277511,0.0001885673,0.00001579436,0.0004639145,0.001065937,0.004487913,0.0007624821,0.909448,0.004899478,0.06577134],"study_design_scores_gemma":[0.00006489869,0.0002554441,0.03757996,0.0005426893,0.0000579375,0.001299028,0.00729773,0.01884156,0.003194658,0.4065737,0.5242516,0.00004079353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4885319,0.01750219,0.02182076,0.01996069,0.0001999905,0.0002014614,0.0002991958,0.0001733463,0.4513105],"genre_scores_gemma":[0.9828757,0.004520578,0.0015283,0.00008378206,0.00006329518,0.00003206704,0.00005051811,0.000004301577,0.01084145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005682161,"threshold_uncertainty_score":0.01949441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.078813887940551,"score_gpt":0.2245969938602357,"score_spread":0.1457831059196847,"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."}}