{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008328722,0.0004508817,0.001116968,0.002860345,0.003825725,0.01216805,0.001812175,0.002455559,0.02254513],"category_scores_gemma":[0.02459846,0.0003763477,0.0005348246,0.008881104,0.003717483,0.01082911,0.008309241,0.002490403,0.006095311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01211333,"about_ca_system_score_gemma":0.01422274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0719679,"about_ca_topic_score_gemma":0.08564975,"domain_scores_codex":[0.9915531,0.002138344,0.0003276701,0.001278908,0.003534753,0.001167254],"domain_scores_gemma":[0.9845339,0.002211044,0.0007854588,0.003035136,0.003960288,0.005474281],"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":[0.0009636926,0.0001890356,0.02121204,0.0007386023,0.00004252974,0.001097271,0.02328578,0.0006724877,0.002315475,0.06431642,0.2218747,0.6632921],"study_design_scores_gemma":[0.0000334824,0.0001270969,0.01727421,0.0003111854,0.00001341238,0.0005467829,0.004297985,0.0003867479,0.002387816,0.01040978,0.96414,0.00007159742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3589014,0.02678398,0.05497056,0.260076,0.01032221,0.0004722899,0.03076217,0.01209383,0.2456176],"genre_scores_gemma":[0.6459499,0.00882694,0.07509399,0.00818203,0.001216169,0.0003623393,0.02150713,0.003131534,0.23573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9280321,"threshold_uncertainty_score":0.143098,"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."}}