{"id":"W4210589215","doi":"10.5267/j.uscm.2021.11.003","title":"Quality of agricultural extension on productivity of farmers: Human capital perspective","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agricultural extension; Productivity; Competence (human resources); Human capital; Agriculture; Agricultural productivity; Business; Structural equation modeling; Marketing; Agricultural economics; Economics; Economic growth; Geography; Management; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007909659,0.0002502053,0.0003597214,0.00005361608,0.0004201267,0.00001785422,0.0004488385,0.00003321957,0.000700856],"category_scores_gemma":[0.00002263441,0.0001021244,0.0001981862,0.0006585657,0.00009111934,0.00009867151,0.0005977047,0.0001557336,0.000006476274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000276883,"about_ca_system_score_gemma":0.000004269574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178938,"about_ca_topic_score_gemma":0.0001977007,"domain_scores_codex":[0.9974392,0.0002855535,0.000474083,0.0005976325,0.0008671139,0.0003364388],"domain_scores_gemma":[0.9992006,0.00007902378,0.0003611048,0.0001426036,0.0001561136,0.00006056302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005040141,0.003532672,0.01789908,0.0002791364,0.0006523917,0.00003146069,0.005683216,0.002745209,0.5004473,0.4094352,0.01560575,0.04318453],"study_design_scores_gemma":[0.0003754378,0.0007029538,0.9232916,0.00002415718,0.00002828555,0.000001237516,0.06710184,0.000003090324,0.002005865,0.002500378,0.003628977,0.0003361698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867223,0.00006388958,0.00000324413,0.002386923,0.0001722421,0.001093078,0.00006466031,0.0000568902,0.009436812],"genre_scores_gemma":[0.9950005,0.00002013796,0.0001253908,0.0001126865,0.00007649652,0.0001489595,0.0002522483,0.000001695738,0.004261832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9053925,"threshold_uncertainty_score":0.7673882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708060312745037,"score_gpt":0.2530425854558148,"score_spread":0.2259619823283644,"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."}}