{"id":"W6950207875","doi":"10.5281/zenodo.3782092","title":"Numeracy at the University of Guelph: One Year Later - Where Are We Now?","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics Education and Programs","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Numeracy; Multidisciplinary approach; Resource (disambiguation); Inquiry-based learning; Scientific reasoning","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003736602,0.00008934437,0.0001343496,0.00006209366,0.001456038,0.00007052283,0.0005983639,0.00004711515,0.04708758],"category_scores_gemma":[0.0001670055,0.00007931398,0.00005752666,0.0002363168,0.0002086472,0.00009133446,0.0005430357,0.000152433,0.007598538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007220901,"about_ca_system_score_gemma":0.000004285445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005717105,"about_ca_topic_score_gemma":0.000002050409,"domain_scores_codex":[0.9989778,0.0002035373,0.0001681764,0.0001779313,0.0002905453,0.0001820411],"domain_scores_gemma":[0.998868,0.00006159484,0.0001638963,0.0004733147,0.0003467418,0.00008647898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004615729,0.0003275606,0.00003845769,0.0002384671,0.00006099517,0.000005893941,0.01003243,0.000003326806,0.0005659468,0.01168889,0.9725915,0.004400333],"study_design_scores_gemma":[0.0003205274,0.00004962066,0.0003602835,0.00005412789,0.00001860137,0.00004121728,0.001181436,0.00005327883,0.0002724911,0.002769477,0.994781,0.00009794675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4116488,0.00054393,0.008913447,0.03053643,0.0003146523,0.002271712,0.0004268802,0.001763724,0.5435804],"genre_scores_gemma":[0.9209975,0.002136299,0.005974503,0.0001254591,0.0001750982,3.566971e-8,0.0003659838,0.001425929,0.0687992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5093486,"threshold_uncertainty_score":0.999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0976281150422203,"score_gpt":0.2747456002823133,"score_spread":0.177117485240093,"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."}}