{"id":"W4412354723","doi":"10.55016/ojs/ajer.v57i3.55501","title":"Digital Diversity: Youth, Equity and Information Technology, Looker, E. D., & Naylor, T. D. (Eds.)","year":2011,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Dalhousie University; Mount Saint Vincent University","keywords":"Equity (law); Diversity (politics); Psychology; Sociology; Political science; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001062975,0.0005539289,0.0005027039,0.001744312,0.003824551,0.009168133,0.0007740076,0.001515821,0.006234378],"category_scores_gemma":[0.001456964,0.0003632345,0.000302788,0.00487101,0.004372156,0.005956411,0.002116545,0.002030153,0.00112273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007774159,"about_ca_system_score_gemma":0.01249566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1701803,"about_ca_topic_score_gemma":0.3560518,"domain_scores_codex":[0.9993881,0.0001643686,0.0000231987,0.00003675147,0.0002698365,0.0001176386],"domain_scores_gemma":[0.999289,0.0002573696,0.00003883951,0.00002658846,0.00012958,0.000258545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001405794,0.00003846567,0.004532803,0.0007711439,0.00001411175,0.0002517381,0.02719488,0.0001614718,0.0001466833,0.1191367,0.4650824,0.3826555],"study_design_scores_gemma":[0.000002731678,0.00001085015,0.00638496,0.00117643,0.00001158707,0.0002409939,0.02744421,0.00005496358,0.00008528764,0.01396326,0.9506146,0.00001016163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.007245956,0.7661391,0.001662563,0.07647543,0.004620577,0.00003435567,0.0002150551,0.0000945865,0.1435124],"genre_scores_gemma":[0.1207814,0.7754446,0.001772778,0.006304232,0.001942472,0.00004952542,0.000232869,0.00005941084,0.09341265],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1701803,"threshold_uncertainty_score":0.3383794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08411678550466772,"score_gpt":0.337529898500562,"score_spread":0.2534131129958943,"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."}}