{"id":"W2910784821","doi":"","title":"Small Cards, Big Picture: Constructing Students' Historical Reference Frameworks in Canadian History","year":2018,"lang":"en","type":"article","venue":"2018 Conference of the Canadian Society for the Study of Education","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"History; Computer science; Data science","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":[0.009980097,0.000742849,0.0004259414,0.004636275,0.01600582,0.008235993,0.002609487,0.0007173739,0.005568747],"category_scores_gemma":[0.02399322,0.0005901179,0.0002572111,0.006324917,0.01224987,0.00388477,0.006767296,0.002421329,0.0002308498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04635593,"about_ca_system_score_gemma":0.08701718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9291283,"about_ca_topic_score_gemma":0.9763466,"domain_scores_codex":[0.9962707,0.001559506,0.0001282483,0.0003534144,0.0009038526,0.0007843601],"domain_scores_gemma":[0.9921328,0.003668065,0.0005173484,0.0007598965,0.001798354,0.001123609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006122221,0.0001088382,0.02510709,0.0000917764,0.000006345169,0.0001900431,0.8739412,0.0005248973,0.0008414185,0.03001962,0.002680532,0.06642697],"study_design_scores_gemma":[0.00001741376,0.00006039943,0.03518669,0.0001838294,0.00002785169,0.0000623632,0.894594,0.001032128,0.00101812,0.005475549,0.06227968,0.00006207779],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350945,0.000279088,0.004908521,0.001531498,0.00005735962,0.0004727784,0.0001995503,0.00006938919,0.05738721],"genre_scores_gemma":[0.9878,0.0002576173,0.006763251,0.00007788152,0.000003418539,0.00009330919,0.00009239007,0.00002328112,0.004888866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07087171,"threshold_uncertainty_score":0.3363374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1651114627634264,"score_gpt":0.3562798737978297,"score_spread":0.1911684110344034,"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."}}