{"id":"W4213293343","doi":"10.5958/2454-552x.2021.00085.2","title":"Assessment of utilization of ict tools for agricultural purposes by the farmers of Banda district of Uttar Pradesh","year":2021,"lang":"en","type":"article","venue":"Indian Journal of Extension Education","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Uttar pradesh; Agriculture; Information and Communications Technology; Biotechnology; Agricultural science; Forensic science; Veterinary medicine; Engineering; Geography; Socioeconomics; Biology; Computer science; Medicine; Sociology; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007361899,0.0002722052,0.0002486856,0.001032648,0.001246686,0.0009308826,0.000412415,0.00047624,0.00182815],"category_scores_gemma":[0.001831946,0.0002523799,0.0001897874,0.00129559,0.0006655675,0.0006003252,0.0005976107,0.0003677944,0.0002514408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005715219,"about_ca_system_score_gemma":0.0007841767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009419483,"about_ca_topic_score_gemma":0.02237409,"domain_scores_codex":[0.9993564,0.0001977597,0.0000547671,0.00007472608,0.0001716196,0.0001446422],"domain_scores_gemma":[0.9985899,0.0005249758,0.0004409608,0.00004730203,0.000231948,0.0001649005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001121327,0.0005268448,0.8756659,0.0003907026,0.00003869177,0.003034553,0.07953065,0.0002444856,0.011548,0.0002798981,0.0002903873,0.02833772],"study_design_scores_gemma":[0.00000419809,0.0009121068,0.9074067,0.00006067131,0.00002133007,0.0006506143,0.08850397,0.0002049429,0.0005056866,0.00009000248,0.001618557,0.00002125097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994069,0.00004269168,0.00003100701,0.00003999078,8.256574e-7,0.00001954674,0.00003646331,9.65515e-7,0.0004215831],"genre_scores_gemma":[0.9987299,0.0002377387,0.0002769602,0.00002799825,0.000001933044,0.00002900444,0.00003884611,7.169766e-7,0.0006568943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009419483,"threshold_uncertainty_score":0.01872927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04635946453993983,"score_gpt":0.3275708873819848,"score_spread":0.281211422842045,"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."}}