{"id":"W7069793669","doi":"","title":"Optimizing Student Learning through EdTech Data Analytics in Ontario","year":2025,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Windsor","keywords":"Data analysis; Analytics; Data collection; Learning analytics; Feature (linguistics); Big data; Key (lock); Work (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001137358,0.0003540618,0.0002666149,0.0006735967,0.001430138,0.002140107,0.0007699064,0.0004070922,0.004838007],"category_scores_gemma":[0.004675264,0.0002535663,0.0002823209,0.001965384,0.0004744208,0.0009113107,0.00154375,0.0004555143,0.0009956459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01828733,"about_ca_system_score_gemma":0.03268776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8974802,"about_ca_topic_score_gemma":0.9490956,"domain_scores_codex":[0.999089,0.0000968375,0.00003389837,0.000141152,0.0003793609,0.0002596743],"domain_scores_gemma":[0.9960752,0.0005353807,0.0001710879,0.0002161744,0.001833542,0.001168586],"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":[0.002636114,0.001764727,0.2886108,0.0002365635,0.00007450454,0.0004010334,0.003337071,0.06089921,0.004505807,0.006528476,0.06048903,0.5705167],"study_design_scores_gemma":[0.0004732199,0.00112891,0.4004746,0.0001316117,0.0001186932,0.00009286237,0.01189117,0.4395898,0.01561448,0.006578275,0.1237602,0.0001462027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557773,0.000331414,0.005929837,0.003284904,0.00006658732,0.0001660116,0.003495316,0.001120605,0.02982808],"genre_scores_gemma":[0.9555451,0.0003381316,0.01002414,0.0001263976,0.00001535173,0.00004437293,0.00282367,0.00009728481,0.03098554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1025198,"threshold_uncertainty_score":0.2062471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06052330864753684,"score_gpt":0.2964484322098291,"score_spread":0.2359251235622923,"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."}}