{"id":"W2603633364","doi":"","title":"An Analysis of a Canadian Personalized Learning Curriculum","year":2017,"lang":"en","type":"article","venue":"World Academy of Science, Engineering and Technology, International Journal of Humanities and Social Sciences","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Psychology; Personalized learning; Mathematics education; Computer science; Pedagogy; Teaching method; Cooperative learning; Open learning","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001894745,0.0003263126,0.0003671896,0.006710789,0.006747722,0.004146604,0.001798352,0.0006368625,0.008854403],"category_scores_gemma":[0.0122409,0.000213336,0.0003544725,0.01506404,0.001054184,0.001031673,0.001818736,0.000892014,0.0006745774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1082891,"about_ca_system_score_gemma":0.1262014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9772753,"about_ca_topic_score_gemma":0.9886487,"domain_scores_codex":[0.9955775,0.0003357064,0.00009783865,0.0003456,0.002456561,0.001186868],"domain_scores_gemma":[0.9849479,0.00174014,0.0007560964,0.0003046758,0.008628279,0.003622955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008399587,0.001473485,0.4399066,0.0007256842,0.0001020653,0.00107219,0.05598616,0.008004603,0.002825274,0.0465078,0.04705857,0.3954976],"study_design_scores_gemma":[0.00003415042,0.0001723617,0.8492582,0.0002017839,0.00005775799,0.00007990863,0.0475663,0.004315129,0.0009399359,0.001001583,0.0963022,0.00007061158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282596,0.0003059961,0.0007723712,0.001222087,0.00003753069,0.0002797143,0.002228586,0.00009490045,0.06679918],"genre_scores_gemma":[0.976847,0.0002324535,0.001009897,0.0001496847,0.000006817731,0.00008067295,0.001576294,0.00004822488,0.020049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1082891,"threshold_uncertainty_score":0.7856961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587110184799739,"score_gpt":0.3765105428172187,"score_spread":0.3406394409692213,"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."}}