{"id":"W2477184902","doi":"10.5539/ijef.v8n8p229","title":"Assessing Growers’ Perceptions of Effective Extension Methods and Information Communication Technologies for Training Vegetable Growers in Jordan","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Jordan","keywords":"Cronbach's alpha; Likert scale; Agricultural science; Agricultural extension; Marketing; Production (economics); Sample (material); Information and Communications Technology; Usability; Business; Distribution (mathematics); Agriculture; Mathematics; Geography; Computer science; Statistics; Economics","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":[0.002247022,0.0001635512,0.0002106863,0.0004808978,0.0007710911,0.001014135,0.0002638225,0.0004122936,0.002716264],"category_scores_gemma":[0.002528818,0.0002123313,0.0001566316,0.0004507803,0.0004550638,0.0006485243,0.0005155808,0.0004364806,0.0003309024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006521278,"about_ca_system_score_gemma":0.0009790591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003493,"about_ca_topic_score_gemma":0.006760232,"domain_scores_codex":[0.9993683,0.0001931778,0.00005568201,0.00004882478,0.0002195351,0.0001145822],"domain_scores_gemma":[0.9974783,0.0006819598,0.0007662404,0.00004728977,0.0005231194,0.0005031734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002152756,0.001251056,0.8650202,0.0003402537,0.00002793084,0.000870662,0.08306881,0.0002156056,0.007841255,0.0001685978,0.001027215,0.03995317],"study_design_scores_gemma":[0.00002232438,0.001191535,0.8340985,0.0001222847,0.00001775308,0.0002696218,0.1574993,0.0005057154,0.0009571324,0.00005863837,0.005236189,0.00002105023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993862,0.00003986813,0.00002355661,0.00007357824,0.000001038455,0.00001158107,0.00001146994,0.000001001127,0.0004516144],"genre_scores_gemma":[0.9980446,0.0002541305,0.0002743985,0.00009364902,0.000004422644,0.00002916683,0.00004197756,0.000001586395,0.001255993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003493,"threshold_uncertainty_score":0.0118835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819004782253905,"score_gpt":0.3210844030495013,"score_spread":0.2828943552269623,"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."}}