{"id":"W7084053518","doi":"10.1145/3726986.3727937","title":"Inclusive HCI: Second International Workshop on Developing Digital Technologies or Supporting Societal Inclusion of Disadvantaged Groups","year":2024,"lang":"en","type":"article","venue":"","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital inclusion; Disadvantaged; Inclusion (mineral); Digital divide; Developing country; Work (physics)","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":[0.01436324,0.001677567,0.001054955,0.001755814,0.005188593,0.01182,0.002123326,0.006045905,0.02852987],"category_scores_gemma":[0.006906317,0.0004987522,0.001299567,0.002099099,0.00309946,0.006847152,0.01370254,0.005727998,0.003282563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002738028,"about_ca_system_score_gemma":0.008911492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005608898,"about_ca_topic_score_gemma":0.009754013,"domain_scores_codex":[0.9946308,0.002563878,0.0001632444,0.0005952011,0.0007059747,0.00134088],"domain_scores_gemma":[0.9898043,0.004318507,0.0001530301,0.0005300991,0.001368858,0.003825275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001199129,0.002232838,0.007279377,0.003061405,0.0001321547,0.001960714,0.1789154,0.0008513018,0.01913486,0.05575785,0.2965065,0.4329684],"study_design_scores_gemma":[0.0001215942,0.0005022833,0.01014083,0.001606765,0.0001073073,0.0005741181,0.08314981,0.0009471223,0.006714154,0.01466179,0.881389,0.00008533415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.228604,0.04807603,0.1596838,0.1374446,0.04570346,0.003600352,0.003041214,0.001931328,0.3719152],"genre_scores_gemma":[0.57276,0.01932609,0.05555331,0.02175981,0.00532126,0.004562906,0.004002653,0.001495317,0.3152186],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02852987,"threshold_uncertainty_score":0.09544194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129808327089614,"score_gpt":0.2985877912108354,"score_spread":0.2772897079399392,"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."}}