{"id":"W3004260296","doi":"10.1109/mce.2019.2953792","title":"Implementable Humanitarian Technology","year":2020,"lang":"en","type":"article","venue":"IEEE Consumer Electronics Magazine","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Indigenous; Humanitarian aid; Sri lanka; Discipline; Population; Political science; Process (computing); Engineering ethics; Public relations; Economic growth; Sociology; Engineering; Computer science; Law; Economics; Socioeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0033147,0.000654579,0.0002209291,0.0009508124,0.0008080008,0.004675691,0.001624386,0.002071733,0.0292132],"category_scores_gemma":[0.006409694,0.0002470309,0.0004153423,0.0007836393,0.001813159,0.005558585,0.003308151,0.00203766,0.008594883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291554,"about_ca_system_score_gemma":0.001937566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004281264,"about_ca_topic_score_gemma":0.0004732772,"domain_scores_codex":[0.9970676,0.0009951176,0.0001204605,0.0002157759,0.001350246,0.0002507947],"domain_scores_gemma":[0.9974453,0.0008105162,0.0001536642,0.0005661694,0.0008354199,0.0001889294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003999432,0.00009662252,0.0004937074,0.001480665,0.00002794195,0.0002864526,0.00119961,0.002600843,0.005915507,0.5113587,0.09410238,0.3823975],"study_design_scores_gemma":[0.0000102065,0.00007624036,0.0002576211,0.0006158648,0.0000110122,0.0002122877,0.0005901031,0.001001037,0.003015196,0.04045101,0.9537475,0.00001188454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008293999,0.01383113,0.2582881,0.021316,0.007284738,0.0005081834,0.000403498,0.001789315,0.688285],"genre_scores_gemma":[0.296692,0.05533435,0.2238639,0.00944634,0.003479492,0.00114331,0.001490377,0.0009320398,0.4076183],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0292132,"threshold_uncertainty_score":0.09772784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643080765620887,"score_gpt":0.2540154660741496,"score_spread":0.2275846584179407,"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."}}