{"id":"W2907049732","doi":"10.1145/3287048","title":"FarmChat","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Usability; Modalities; Literacy; Population; Work (physics); Computer science; Knowledge management; Digital literacy; Psychology; World Wide Web; Human–computer interaction; Engineering; Sociology; Social science; Pedagogy; Demography","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":[0.00116357,0.0007357681,0.0005016553,0.001116426,0.001515361,0.002839102,0.001609625,0.001041399,0.2209184],"category_scores_gemma":[0.003222942,0.0003770647,0.0006769123,0.001103546,0.0005696366,0.002566397,0.003083922,0.00119871,0.1043055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006836486,"about_ca_system_score_gemma":0.001576783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031787,"about_ca_topic_score_gemma":0.004909434,"domain_scores_codex":[0.999279,0.0001342447,0.00004433088,0.000169363,0.0002521155,0.0001210281],"domain_scores_gemma":[0.9982146,0.0004371308,0.00009764513,0.000339417,0.0004720457,0.0004391745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00170981,0.0004846101,0.004989827,0.001228527,0.00006114733,0.0009931199,0.003039138,0.0005748927,0.01131594,0.01160755,0.5282931,0.4357023],"study_design_scores_gemma":[0.00008292304,0.0002019977,0.003383871,0.0001154858,0.0000345648,0.0004956807,0.000582355,0.001102428,0.002000599,0.002038051,0.9899096,0.00005244395],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03344516,0.002489345,0.05281516,0.002970735,0.001791593,0.001864353,0.02607802,0.09845618,0.7800895],"genre_scores_gemma":[0.1797037,0.002314612,0.05935689,0.002832747,0.0005251429,0.002535153,0.04003924,0.01234166,0.7003509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2209184,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454277419078421,"score_gpt":0.2576879128715542,"score_spread":0.24314513868077,"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."}}