{"id":"W2557723918","doi":"10.15353/joci.v12i3.3274","title":"Data Literacy - What is it and how can we make it happen?","year":2016,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literacy; Context (archaeology); Information literacy; The Internet; Computer science; Data science; Internet privacy; Political science; World Wide Web; Sociology; Geography; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02625823,0.0005611147,0.001424244,0.004515013,0.006574665,0.02453917,0.002334799,0.006188718,0.01018908],"category_scores_gemma":[0.09095004,0.0005844707,0.001005471,0.00483472,0.02293364,0.04839615,0.01116436,0.01449948,0.003897978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007112378,"about_ca_system_score_gemma":0.01597687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007605125,"about_ca_topic_score_gemma":0.006872566,"domain_scores_codex":[0.9742319,0.01497976,0.001425797,0.001518247,0.005577724,0.002266616],"domain_scores_gemma":[0.9208875,0.04788995,0.004028369,0.004119846,0.01027203,0.01280234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000849067,0.0002480495,0.02157994,0.004014375,0.0001177366,0.0004793305,0.03583457,0.0003415752,0.0004906089,0.3081682,0.2043583,0.4242825],"study_design_scores_gemma":[0.000017826,0.0001219363,0.008819853,0.01583655,0.00004688805,0.0009109945,0.05694653,0.0003038656,0.0004281542,0.2761953,0.6402711,0.0001010628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005748375,0.04260472,0.003817451,0.9153923,0.002969832,0.00006087119,0.0002095705,0.00008716077,0.02910965],"genre_scores_gemma":[0.4165753,0.2984628,0.02047693,0.2345352,0.008129151,0.0004433255,0.001002468,0.000408843,0.01996605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02625823,"threshold_uncertainty_score":0.1388685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3108962033243062,"score_gpt":0.4375052943879286,"score_spread":0.1266090910636223,"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."}}