{"id":"W2963067403","doi":"10.1145/3314344.3332481","title":"Moving into a technology land","year":2019,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Inclusion (mineral); Digital inclusion; Work (physics); Process (computing); Computer science; Public relations; Political science; Knowledge management; Sociology; Engineering; World Wide Web; Gender studies; The Internet; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008881124,0.00006881299,0.00008386317,0.0004025071,0.00004681573,0.00003637314,0.0005937602,0.0001088393,0.0001330812],"category_scores_gemma":[0.00002864613,0.00005981098,0.00001500453,0.0006302185,0.00003654674,0.0003913377,0.0003155816,0.0001958342,0.001701809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004692249,"about_ca_system_score_gemma":0.0000181937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002062271,"about_ca_topic_score_gemma":0.00001907576,"domain_scores_codex":[0.9994097,0.000008839017,0.0001110127,0.0002445929,0.00007477192,0.0001510776],"domain_scores_gemma":[0.9993693,0.00002142881,0.00004748614,0.0004628304,0.0000898365,0.000009099745],"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":[0.000001338604,0.00001710028,0.02347218,0.00000425176,0.00001000415,0.000005778939,0.0001211572,0.000003659148,0.02993515,0.9251053,0.0004499477,0.02087412],"study_design_scores_gemma":[0.001269063,0.000682025,0.01101334,0.00007293552,0.000005057111,0.0003059995,0.000456549,0.06223859,0.3939136,0.4469063,0.08229162,0.0008449203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6466641,0.00001389698,0.3150527,0.004594607,0.0004607752,0.0001106777,5.22292e-8,0.00087965,0.03222352],"genre_scores_gemma":[0.9515004,6.045338e-7,0.04596405,0.0003792343,0.00001189857,0.000008700285,3.007709e-7,0.000003963987,0.002130872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478199,"threshold_uncertainty_score":0.9990755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006882204381046487,"score_gpt":0.2521535189737014,"score_spread":0.2452713145926549,"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."}}