{"id":"W4200566918","doi":"10.1109/iemcon53756.2021.9623142","title":"Masa: AI-Adaptive Mobile App for Sustainable Agriculture","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Agriculture; Sustainability; Business; Product (mathematics); Resource (disambiguation); Sustainable agriculture; Marketing; Computer science; Geography","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":[0.0002963801,0.0007904646,0.0003939087,0.0005268596,0.0005267785,0.0008383979,0.0008768991,0.001386995,0.02306165],"category_scores_gemma":[0.0008191324,0.0001863709,0.0003232491,0.0002754571,0.0002243419,0.001147925,0.001198906,0.0007418912,0.007749484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609624,"about_ca_system_score_gemma":0.0003074018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006874861,"about_ca_topic_score_gemma":0.001298629,"domain_scores_codex":[0.9997548,0.00004116624,0.00001750906,0.00003247418,0.0001183361,0.00003568491],"domain_scores_gemma":[0.9997306,0.00008577538,0.00001500289,0.00001890396,0.00009884913,0.00005083317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001031289,0.0006997798,0.002441088,0.001866995,0.00009336806,0.002445229,0.001605663,0.0009010197,0.08131943,0.006904262,0.3092332,0.5914586],"study_design_scores_gemma":[0.0002432169,0.002248896,0.009829714,0.0005151608,0.000219431,0.004557378,0.000830371,0.03537648,0.03399616,0.005224668,0.9066658,0.0002926691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1178055,0.01310523,0.4523381,0.006382384,0.004391894,0.005125957,0.005412539,0.1493343,0.2461041],"genre_scores_gemma":[0.3904271,0.006547682,0.2054205,0.004924862,0.0009389395,0.003594994,0.004324562,0.001363599,0.3824578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02306165,"threshold_uncertainty_score":0.07714897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007831084705595041,"score_gpt":0.2416955672854232,"score_spread":0.2338644825798282,"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."}}