{"id":"W2521026648","doi":"","title":"Learners to Leaders: Empowering Students to Gather, Track, Analyze, and Share Data","year":2016,"lang":"en","type":"article","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Waterloo","funders":"","keywords":"Track (disk drive); Computer science; Mathematics education; Public relations; Business; Political science; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01710811,0.0008753047,0.0003891306,0.00130368,0.002849773,0.008687843,0.002158498,0.001920658,0.01100495],"category_scores_gemma":[0.07553255,0.0006348917,0.0005456752,0.0007105234,0.002553089,0.009765766,0.01264087,0.004686531,0.005652434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005552878,"about_ca_system_score_gemma":0.004606486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002594416,"about_ca_topic_score_gemma":0.0006829327,"domain_scores_codex":[0.9853776,0.01058217,0.0003609587,0.001128718,0.001842295,0.0007082545],"domain_scores_gemma":[0.929231,0.03974976,0.006521951,0.00946507,0.004443152,0.01058908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005528607,0.003844407,0.0465348,0.0006557546,0.0001266526,0.001434047,0.1300131,0.001439809,0.01629605,0.0263453,0.105127,0.6676303],"study_design_scores_gemma":[0.0006153006,0.002618643,0.01995691,0.001300256,0.0003089942,0.003115866,0.1322162,0.02058457,0.0445193,0.2180389,0.5563523,0.0003725892],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3555109,0.0005788297,0.5175323,0.06454245,0.001281244,0.001394785,0.0005444425,0.009623235,0.04899184],"genre_scores_gemma":[0.6773042,0.0007045105,0.2864246,0.006857678,0.0007885799,0.001164108,0.0007324818,0.0007555617,0.02526822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01710811,"threshold_uncertainty_score":0.09047741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5040589223745899,"score_gpt":0.5472412365140236,"score_spread":0.04318231413943363,"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."}}