{"id":"W2302308041","doi":"","title":"Exploring pedagogical uses of technology in statistics education","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Statistics education; Computer science; Data science; Statistics; Mathematics education; Psychology; Mathematics","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":[0.0002962285,0.0002021809,0.000382251,0.002002853,0.00005693921,0.00001421674,0.0002769094,0.0001670736,0.0004955656],"category_scores_gemma":[0.007406056,0.0001945963,0.00001931013,0.001016281,0.0005343945,0.0001011513,0.00007016949,0.0004332906,0.00003085703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009080331,"about_ca_system_score_gemma":0.0009475601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001029837,"about_ca_topic_score_gemma":0.0002795535,"domain_scores_codex":[0.9985326,0.00007443316,0.0005232132,0.0003561017,0.000223302,0.0002903627],"domain_scores_gemma":[0.9963434,0.002650071,0.0002292219,0.0003241856,0.0003638603,0.00008922773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001112861,0.0004918719,0.007149842,0.00004468578,0.000009495819,7.410912e-7,0.0009345406,3.343891e-7,0.0003543543,0.9511938,0.002713653,0.03709556],"study_design_scores_gemma":[0.0002320987,0.00005958874,0.007716191,0.0001282523,0.00001731283,0.0000123754,0.001296434,0.00002087961,0.002948546,0.9860889,0.00130467,0.0001747032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3205415,0.0008381901,0.002568748,0.6671931,0.004373236,0.0007194836,0.0001558123,0.0002852527,0.0033247],"genre_scores_gemma":[0.8095867,0.0005975191,0.1880062,0.00009869635,0.0002464805,0.0004122175,0.00003654989,0.00001689934,0.0009987059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6670943,"threshold_uncertainty_score":0.8866276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5584064837783423,"score_gpt":0.4632993365128443,"score_spread":0.09510714726549807,"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."}}