{"id":"W3214101531","doi":"10.52041/srap.08706","title":"Using census at school and Tinkerplots™ to support Ontario elementary teachers’ statistics teaching and learning","year":2008,"lang":"en","type":"article","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Statistics Canada","funders":"","keywords":"Census; Statistics education; Agency (philosophy); Statistical analysis; Mathematics education; Computer science; Professional development; Medical education; Statistics; Data science; Psychology; Pedagogy; Sociology; Mathematics; Medicine; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004142125,0.0003083287,0.0002604617,0.002901705,0.002539969,0.001193934,0.001060222,0.0002812253,0.01796268],"category_scores_gemma":[0.02141626,0.000458079,0.0002217709,0.003680806,0.0003980157,0.001241226,0.001870103,0.0005336025,0.004289147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01899022,"about_ca_system_score_gemma":0.07660043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9241195,"about_ca_topic_score_gemma":0.9628388,"domain_scores_codex":[0.9976872,0.0004999546,0.00014417,0.0002432556,0.001097175,0.0003282816],"domain_scores_gemma":[0.981149,0.003151678,0.001414928,0.001418594,0.00840376,0.004462084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002210809,0.0004577894,0.1374191,0.0003476221,0.00002819319,0.0005521314,0.02507061,0.001930694,0.00430141,0.003513876,0.3564806,0.4696767],"study_design_scores_gemma":[0.0001353545,0.00009836999,0.3491858,0.000200679,0.00002939384,0.00005670908,0.0118133,0.006369638,0.002535152,0.001070654,0.6283779,0.0001271197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4237961,0.0009096848,0.06126004,0.02703242,0.001028218,0.006477037,0.07674044,0.02215684,0.3805991],"genre_scores_gemma":[0.7493998,0.001471211,0.1111251,0.001164784,0.0002327288,0.003971838,0.02591032,0.001292255,0.1054318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07588047,"threshold_uncertainty_score":0.1526546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3195269555186999,"score_gpt":0.440073127263389,"score_spread":0.1205461717446892,"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."}}