{"id":"W7008202985","doi":"","title":"ASSESSING THE IMPROVEMENT IN LOGICAL REASONING OF STUDENTS ENROLLED IN “NUMBERS FOR LIFE” COURSE AT MCMASTER UNIVERSITY","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Mathematics Education and Programs","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Numeracy; Logical reasoning; Logical conjunction; Qualitative reasoning; Verbal reasoning; Work (physics); Order (exchange)","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":[0.001351067,0.0004431042,0.0004232916,0.0009187825,0.0007207357,0.001194959,0.0008130787,0.0006260399,0.004347155],"category_scores_gemma":[0.005144214,0.0002614549,0.0003683532,0.0005654902,0.0005547756,0.0005634097,0.0008016939,0.001342845,0.001748536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001839667,"about_ca_system_score_gemma":0.002279391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02880467,"about_ca_topic_score_gemma":0.07722609,"domain_scores_codex":[0.9989869,0.0001283079,0.00007747198,0.00009942819,0.0004957074,0.0002120981],"domain_scores_gemma":[0.9956286,0.000482545,0.0008639683,0.0001815305,0.00148346,0.001359909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001404149,0.0152805,0.7283103,0.0003443482,0.0001397872,0.0005997216,0.01670247,0.000796297,0.01965866,0.0003570807,0.01138698,0.2050198],"study_design_scores_gemma":[0.00003291421,0.002402498,0.9848838,0.00004846659,0.0000276893,0.000096221,0.002975389,0.0004194216,0.005937142,0.000104296,0.003042215,0.00002991273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965543,0.00007040473,0.00006829244,0.0001867849,0.000009269078,0.00006167984,0.00009180485,0.00002248099,0.00293507],"genre_scores_gemma":[0.9927647,0.0001637298,0.0006236585,0.0001055267,0.000004589905,0.00003763139,0.0002416481,0.000005175888,0.006053298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02880467,"threshold_uncertainty_score":0.05727398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05012330467214848,"score_gpt":0.3379765110597278,"score_spread":0.2878532063875793,"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."}}