{"id":"W2559519262","doi":"10.15353/joci.v12i3.3275","title":"Creating an Understanding of Data Literacy for a Data-driven Society","year":2016,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":319,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literacy; Information literacy; Critical literacy; Foundation (evidence); Computer science; Data science; Sociology; Mathematics education; Engineering ethics; Political science; Pedagogy; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01724489,0.0005767445,0.0007925939,0.0059071,0.003838355,0.01633299,0.002199055,0.005694543,0.002942032],"category_scores_gemma":[0.02167525,0.0005754174,0.0008994806,0.003345195,0.03479346,0.02950395,0.01236542,0.01149209,0.0006724217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004313203,"about_ca_system_score_gemma":0.01086465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003723088,"about_ca_topic_score_gemma":0.002727957,"domain_scores_codex":[0.9895889,0.006536024,0.000664682,0.001054599,0.001415288,0.0007405925],"domain_scores_gemma":[0.9672461,0.02350671,0.001593278,0.003017206,0.002486521,0.002150187],"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":[0.000004262563,0.00004115957,0.001192423,0.0001037752,0.000004982957,0.000109668,0.02611696,0.0003804255,0.0002749872,0.9564086,0.002525455,0.01283726],"study_design_scores_gemma":[0.000006240396,0.00002322386,0.001157753,0.0006872822,0.000007210503,0.0002829326,0.0199305,0.002037785,0.0003308643,0.8714504,0.1040596,0.00002612093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05872124,0.005998566,0.5128093,0.2705222,0.0007478716,0.0003095804,0.0002718209,0.0003861159,0.1502335],"genre_scores_gemma":[0.7038007,0.008234236,0.2614141,0.01537326,0.0006398928,0.0006592228,0.0004022366,0.000183572,0.009292766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01724489,"threshold_uncertainty_score":0.09120077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.689287066960147,"score_gpt":0.5287390662463747,"score_spread":0.1605480007137723,"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."}}