{"id":"W3096840332","doi":"10.5539/ass.v16n11p7","title":"Obstacles and Performance of Agribusiness Enterprises: Evidence from South-Kivu Eastern Democratic Republic of Congo","year":2020,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agribusiness; Scarcity; Obstacle; Democracy; Descriptive statistics; Business; Proxy (statistics); Variance (accounting); Profit margin; Order (exchange); Poverty; Profit (economics); Rural area; Economic growth; Economics; Agriculture; Marketing; Politics; Geography; Market economy; Finance; 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":[0.0004974088,0.0001980897,0.0001676256,0.00119897,0.0007636997,0.001249981,0.000269758,0.000239978,0.001768073],"category_scores_gemma":[0.002011964,0.0001419993,0.0001558227,0.002299433,0.0006481564,0.0005639435,0.0007713329,0.0002820908,0.0001995163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008704541,"about_ca_system_score_gemma":0.0008110285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04345234,"about_ca_topic_score_gemma":0.1014763,"domain_scores_codex":[0.9994991,0.0001715047,0.00003980808,0.00006214297,0.00008389457,0.0001436232],"domain_scores_gemma":[0.997102,0.0006281105,0.001660689,0.00007899377,0.0001736799,0.0003566328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004468315,0.00006831226,0.9904179,0.00008091645,0.00002885624,0.0003165811,0.004065182,0.00006151573,0.0002355945,0.0002637592,0.0002260338,0.004190754],"study_design_scores_gemma":[0.000001001119,0.00002002505,0.9913142,0.00003888926,0.000008737105,0.00006717214,0.007722026,0.00004399567,0.00005436456,0.00002213208,0.0007038911,0.000003553205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985031,0.0002678884,0.00002032738,0.0001048789,0.000001359415,0.000003239283,0.0001671859,6.236666e-7,0.0009315333],"genre_scores_gemma":[0.9994898,0.0002113727,0.0000197418,0.00001569433,0.000001586294,0.000004385822,0.00008565058,6.233649e-7,0.0001710963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04345234,"threshold_uncertainty_score":0.08639878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029650710645348,"score_gpt":0.2341658421778866,"score_spread":0.2045151315325386,"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."}}