{"id":"W2558381304","doi":"10.15353/joci.v12i3.3286","title":"Don't ask too much from data literacy","year":2016,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Research Data Management Practices","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ask price; Literacy; Incentive; Information literacy; Critical literacy; Public relations; Political science; Internet privacy; Computer science; Sociology; Pedagogy; Business; Economics","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":[0.0304331,0.0009091179,0.001719253,0.001828328,0.005744709,0.01161529,0.002876148,0.01394349,0.0257405],"category_scores_gemma":[0.1961866,0.0006128329,0.001099529,0.001396299,0.02001493,0.0405497,0.009567922,0.02762401,0.01743083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003071956,"about_ca_system_score_gemma":0.007576485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003559673,"about_ca_topic_score_gemma":0.005061871,"domain_scores_codex":[0.9650622,0.01433803,0.002373526,0.003339271,0.01227882,0.002608212],"domain_scores_gemma":[0.8246456,0.08657381,0.00885968,0.01571851,0.0448853,0.01931704],"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":[0.0001519625,0.0002120459,0.005605759,0.001154482,0.00009130641,0.0003780927,0.008810673,0.00008007448,0.0008941218,0.08385742,0.8125703,0.08619381],"study_design_scores_gemma":[0.0001163548,0.0001907624,0.003419529,0.002834823,0.00008129048,0.001131711,0.01543584,0.0002061904,0.001219599,0.1505704,0.8246424,0.0001510486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00199103,0.002430861,0.002841059,0.9668667,0.006873292,0.00003061027,0.000114031,0.0001512015,0.01870115],"genre_scores_gemma":[0.05611716,0.003314087,0.00469531,0.9085628,0.005136372,0.0001668698,0.0001982885,0.0003270335,0.02148212],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0304331,"threshold_uncertainty_score":0.1609476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1729038682655435,"score_gpt":0.3953290811360348,"score_spread":0.2224252128704912,"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."}}