{"id":"W2923855280","doi":"","title":"Implementation of a Data Literacy Learning Model","year":2019,"lang":"en","type":"article","venue":"2019 Conference of the Canadian Society for the Study of Education","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Literacy; Qualitative property; Data collection; Computer science; Process (computing); Presentation (obstetrics); Mathematics education; Professional development; Psychology; Medical education; Pedagogy; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001689852,0.00007746741,0.0001600367,0.00005932572,0.000203364,0.00006999686,0.001513266,0.00002757306,0.000185822],"category_scores_gemma":[0.0001862059,0.00004718251,0.0001282561,0.000290547,0.00006412209,0.0004068528,0.0001372292,0.00008136262,0.000003546055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009147434,"about_ca_system_score_gemma":0.003823627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06322754,"about_ca_topic_score_gemma":0.05166952,"domain_scores_codex":[0.9985117,0.0000596188,0.0004788446,0.0002273566,0.0005928517,0.0001295892],"domain_scores_gemma":[0.9969068,0.000439951,0.0006471171,0.000901547,0.001058987,0.00004566114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003115228,0.0009545597,0.4839872,0.000102156,0.0004960219,3.760206e-9,0.1278416,0.002488551,0.003811081,0.02279911,0.09559365,0.2618949],"study_design_scores_gemma":[0.001167102,0.0005396439,0.3547776,0.0000723026,0.0002376715,3.142526e-7,0.5383916,0.07379405,0.0007859534,0.02015377,0.009843298,0.0002366389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936053,0.0000528704,0.0004392125,0.003383029,0.0005268073,0.001417533,0.0001306098,0.000001528268,0.0004431076],"genre_scores_gemma":[0.9944213,0.000006630494,0.001082372,0.0001132369,0.00003300533,0.00003556715,0.00004457952,0.000005288811,0.004258044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.41055,"threshold_uncertainty_score":0.9656351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1837110498907095,"score_gpt":0.4661686006689358,"score_spread":0.2824575507782263,"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."}}