{"id":"W2558488042","doi":"10.15353/joci.v12i3.3288","title":"Some Key Challenges for Data Literacy","year":2016,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Research Data Management Practices","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Praxis; Key (lock); Literacy; Information literacy; Computer science; Data science; Sociology; Political science; World Wide Web; Pedagogy","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0834581,0.0006170904,0.001057216,0.003525554,0.01575888,0.02447101,0.003298946,0.008606507,0.008554136],"category_scores_gemma":[0.1232264,0.000730432,0.0007908888,0.004190231,0.05160193,0.0460388,0.02418548,0.02884624,0.001803835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006763896,"about_ca_system_score_gemma":0.01733071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007046955,"about_ca_topic_score_gemma":0.005054569,"domain_scores_codex":[0.937712,0.04547323,0.002891576,0.003665878,0.006035198,0.004222086],"domain_scores_gemma":[0.7846028,0.1655053,0.003714768,0.008778841,0.02024614,0.01715205],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003731181,0.0001036673,0.002287934,0.0004183136,0.000009098454,0.0002893312,0.04888083,0.0001654755,0.0002970058,0.8572846,0.03594154,0.05428493],"study_design_scores_gemma":[0.0000250614,0.0000666324,0.001171986,0.001283191,0.000005522801,0.0003629114,0.08824751,0.0005125797,0.00043603,0.7023565,0.2054545,0.00007757475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008551651,0.004840212,0.0104159,0.957756,0.001230408,0.0000552802,0.00006529839,0.00006382543,0.01702136],"genre_scores_gemma":[0.6986915,0.02174699,0.05717053,0.1904525,0.006659551,0.001533187,0.0003280441,0.0004737071,0.02294386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9165419,"threshold_uncertainty_score":0.4413739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2923414867879107,"score_gpt":0.4189963810447337,"score_spread":0.126654894256823,"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."}}