{"id":"W3186678687","doi":"10.3390/educsci11070366","title":"Generative Unit Assessment: Authenticity in Mathematics Classroom Assessment Practices","year":2021,"lang":"en","type":"article","venue":"Education Sciences","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; University of Alberta","funders":"University of Alberta","keywords":"Unit (ring theory); Generative grammar; Mathematics education; Task (project management); Action (physics); Authentic assessment; Citizen journalism; Alternative assessment; Process (computing); Computer science; Dynamic assessment; Generative model; Pedagogy; Psychology; Artificial intelligence; Engineering; Curriculum","routes":{"ca_aff":true,"ca_fund":true,"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":[0.06460234,0.0007034309,0.0006529319,0.002602004,0.005468748,0.01125705,0.003176986,0.002576047,0.002665012],"category_scores_gemma":[0.1534745,0.0007135093,0.0007025423,0.001093765,0.02183622,0.009802793,0.01620939,0.003753807,0.0005356174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002686253,"about_ca_system_score_gemma":0.004584186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008380318,"about_ca_topic_score_gemma":0.001165032,"domain_scores_codex":[0.8662498,0.1131382,0.002732831,0.004918783,0.01151703,0.001443346],"domain_scores_gemma":[0.8506733,0.1032022,0.007142083,0.02639854,0.009366396,0.003217483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000121318,0.0002725915,0.01315523,0.0004632573,0.00003225191,0.0006606653,0.724852,0.001867305,0.006964487,0.1386189,0.001005456,0.1119865],"study_design_scores_gemma":[0.0001107785,0.001564179,0.01714799,0.002249981,0.00008319267,0.004239138,0.3613276,0.02251794,0.02264711,0.3663249,0.2013424,0.0004447141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4162408,0.0004857277,0.5239164,0.004984082,0.0001712748,0.001192447,0.00004487618,0.0005510805,0.05241336],"genre_scores_gemma":[0.9276363,0.00008004506,0.06987243,0.0001975892,0.00001832278,0.0003842688,0.00001934971,0.00007039056,0.0017213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06460234,"threshold_uncertainty_score":0.3416539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.141037056081307,"score_gpt":0.5097772346579433,"score_spread":0.3687401785766363,"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."}}