{"id":"W4407572063","doi":"10.52041/iase2023.406","title":"Masdering attitude research in statistics and data science education: Instruments for measuring students, instructors, and the learning environment","year":2024,"lang":"en","type":"article","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Computer science; Mathematics education; Data 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":[0.02339179,0.0004471829,0.0004725487,0.003892933,0.001577136,0.002060631,0.000843854,0.0008837979,0.004501787],"category_scores_gemma":[0.05468248,0.0003445159,0.0008787924,0.003062984,0.001496308,0.002065086,0.001804456,0.001885077,0.001372508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224097,"about_ca_system_score_gemma":0.002590939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563773,"about_ca_topic_score_gemma":0.003733534,"domain_scores_codex":[0.9830151,0.008751883,0.001461871,0.0008112689,0.005393959,0.0005658716],"domain_scores_gemma":[0.9342789,0.03296431,0.008485427,0.007594405,0.01434598,0.00233102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001424684,0.001276827,0.5354547,0.0006475912,0.000111567,0.00004419293,0.01165078,0.0004458812,0.005254103,0.01450413,0.00378671,0.426681],"study_design_scores_gemma":[0.00009654195,0.001600014,0.9105209,0.0009653242,0.0001783055,0.0001945499,0.01166716,0.003437208,0.01157519,0.01820141,0.04142839,0.0001350364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298728,0.001178571,0.1009384,0.002896221,0.0005241002,0.00329236,0.001086601,0.0003449187,0.0598659],"genre_scores_gemma":[0.8625204,0.001012492,0.1200809,0.001255496,0.0001465564,0.007432083,0.000867079,0.0001039675,0.006581155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02339179,"threshold_uncertainty_score":0.123709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5547658989214944,"score_gpt":0.5664397992141553,"score_spread":0.01167390029266091,"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."}}