{"id":"W6995590176","doi":"","title":"Participatory Digital Extension in Agriculture: A Study from Ghana","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mobile phone; Agricultural extension; Citizen journalism; Thematic analysis; Phone; Process (computing); Extension (predicate logic); Agriculture","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":[0.002573689,0.0003770047,0.0005424878,0.0008689802,0.007841571,0.002846064,0.000638194,0.0009881398,0.005607476],"category_scores_gemma":[0.003389777,0.0005564075,0.000131274,0.002138925,0.00359885,0.002037789,0.002530597,0.001195881,0.0007079641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003380678,"about_ca_system_score_gemma":0.003215792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245237,"about_ca_topic_score_gemma":0.05811934,"domain_scores_codex":[0.9988607,0.000656524,0.00004763586,0.00009944294,0.0000776414,0.0002580901],"domain_scores_gemma":[0.997338,0.001367143,0.0003936832,0.00008337139,0.00016212,0.0006556092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005762854,0.0003926376,0.02129647,0.0002712021,0.000002876589,0.004966089,0.9589835,0.00002754869,0.001280978,0.001067313,0.0006987407,0.01095495],"study_design_scores_gemma":[0.00001907748,0.0001548732,0.01462568,0.0001908555,0.000004579961,0.0006251266,0.9700447,0.00002977222,0.0000954419,0.0001817318,0.01402177,0.000006419443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936016,0.0004096062,0.0001686429,0.001060968,0.0000106387,0.0001444626,0.00003729404,0.000003085441,0.004563578],"genre_scores_gemma":[0.9926893,0.00155417,0.0005516444,0.0007442471,0.00001348007,0.0001762992,0.00003911584,0.0000105306,0.004221201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02245237,"threshold_uncertainty_score":0.04464334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963942242720468,"score_gpt":0.2148330836364742,"score_spread":0.1951936612092695,"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."}}