{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00314599,0.0004428719,0.0004110195,0.001453792,0.01129028,0.01905072,0.001529986,0.002861214,0.01979883],"category_scores_gemma":[0.004479181,0.0003277711,0.0005588652,0.001825363,0.01565528,0.01575029,0.01256081,0.003363033,0.004985692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01010996,"about_ca_system_score_gemma":0.01975916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1353478,"about_ca_topic_score_gemma":0.1639423,"domain_scores_codex":[0.9968562,0.0009665219,0.0001106234,0.0003599428,0.0006868599,0.00101984],"domain_scores_gemma":[0.9978774,0.0004089529,0.0001212485,0.0003130095,0.0004954521,0.0007840533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009409499,0.0001547931,0.01337676,0.0003996206,0.00003445988,0.002651177,0.3416557,0.0005250871,0.0067144,0.4325925,0.03176871,0.1700326],"study_design_scores_gemma":[0.00001075727,0.0001031523,0.00421791,0.0005286618,0.0000224641,0.0006249655,0.2378095,0.0004516792,0.0009427549,0.02788897,0.7273623,0.00003682684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3232138,0.005868444,0.03294201,0.08634071,0.001300761,0.0002481467,0.0002657636,0.0006208452,0.5491996],"genre_scores_gemma":[0.8473135,0.003936809,0.01623988,0.006132365,0.0001118402,0.0001252676,0.0001890923,0.0003032269,0.1256481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1353478,"threshold_uncertainty_score":0.2691199,"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."}}