{"id":"W7112223773","doi":"","title":"ГРАМОТНІСТЬ У ГАЛУЗІ ДАНИХ: ВИЗНАЧЕННЯ, ПІДХОДИ, НАПРЯМИ ФОРМУВАННЯ","year":2019,"lang":"uk","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Innovative Educational Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Literacy; Presentation (obstetrics); Big data; Information literacy; Statistics education; Official statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.002128435,0.0004491266,0.0003477955,0.002388035,0.002118259,0.005744323,0.000586972,0.001258154,0.01486074],"category_scores_gemma":[0.004819726,0.0004571372,0.0003939478,0.003072881,0.003585849,0.003000466,0.0017809,0.002233363,0.008125074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607926,"about_ca_system_score_gemma":0.004088466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008345773,"about_ca_topic_score_gemma":0.007199337,"domain_scores_codex":[0.9978001,0.0005090973,0.0001352941,0.0003412438,0.001035559,0.00017879],"domain_scores_gemma":[0.9986134,0.0004501716,0.0001516179,0.0002161506,0.0004443221,0.0001244068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007612087,0.00004950361,0.001333075,0.0004504453,0.0000143169,0.0007208784,0.008175177,0.0007346686,0.003260198,0.6775358,0.02523696,0.2824129],"study_design_scores_gemma":[0.0000110304,0.000034647,0.001728519,0.0003099288,0.00002071366,0.0007799159,0.002220763,0.0005526565,0.002365062,0.07699618,0.9149327,0.00004797743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05542365,0.05403017,0.1116422,0.01993215,0.005802209,0.0003432079,0.000883825,0.0007406004,0.7512019],"genre_scores_gemma":[0.6454741,0.0435417,0.09909594,0.001743189,0.00166928,0.0005519218,0.0006718762,0.0007825068,0.2064693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01486074,"threshold_uncertainty_score":0.04971415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07858724442010352,"score_gpt":0.3469321899542158,"score_spread":0.2683449455341123,"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."}}