{"id":"W2586544479","doi":"","title":"MONITORING PARAMETERS RELATED TO INVESTMENT ACTIVITY IN THE AGRARIAN SECTOR OF REGIONS ECONOMIES","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":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agrarian society; Investment (military); Context (archaeology); Modernization theory; Agriculture; Economic stability; Economic sector; Business; Economics; Industrial organization; Economic system; Economic growth; Economy; Political science; Macroeconomics; Geography","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":[0.001212002,0.0002133161,0.0002766127,0.002536817,0.0002579668,0.001406342,0.0002555482,0.0002632024,0.0009280586],"category_scores_gemma":[0.004159045,0.00009784725,0.0001833935,0.003566716,0.0003586046,0.0007663195,0.0006087243,0.000185841,0.0001617275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008081648,"about_ca_system_score_gemma":0.000512285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935553,"about_ca_topic_score_gemma":0.002676006,"domain_scores_codex":[0.9992192,0.0002826789,0.00009726859,0.0001272926,0.0001991394,0.00007441075],"domain_scores_gemma":[0.9973214,0.00089468,0.000999283,0.0001909993,0.0005089531,0.0000847081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000107438,0.00004926023,0.945321,0.0001190175,0.000070089,0.0001479005,0.001814254,0.006164642,0.002357302,0.005793352,0.0002483561,0.03780746],"study_design_scores_gemma":[0.000002152778,0.00008471367,0.9797651,0.00003240262,0.00003586079,0.0001409545,0.003757542,0.008214317,0.002974281,0.002245385,0.002727129,0.00002012702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865937,0.0001970164,0.004519568,0.00004249385,0.000003737856,0.00003672307,0.0005792439,0.00001666414,0.008010862],"genre_scores_gemma":[0.9974748,0.00009526197,0.001811696,0.000002505038,0.000002939028,0.00001358109,0.0002689257,0.000002228675,0.0003279908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002935553,"threshold_uncertainty_score":0.006409764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027384181894026,"score_gpt":0.2175728708352094,"score_spread":0.1901886889411834,"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."}}