{"id":"W2738342598","doi":"10.7202/1073390ar","title":"Training Teachers in Logical Reasoning","year":2020,"lang":"en","type":"article","venue":"Paideusis","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Logical reasoning; Training (meteorology); Mathematics education; Psychology; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002440584,0.0004426415,0.0003319846,0.0009087676,0.001227694,0.002416562,0.0008790867,0.0009581074,0.02093894],"category_scores_gemma":[0.009063749,0.0004250264,0.0002355523,0.0004157681,0.000862187,0.002474252,0.00234881,0.003849962,0.007007003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202502,"about_ca_system_score_gemma":0.004466422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352219,"about_ca_topic_score_gemma":0.004622648,"domain_scores_codex":[0.9985788,0.0003814299,0.00007815019,0.0002413809,0.0005241617,0.0001960127],"domain_scores_gemma":[0.9928157,0.00315702,0.0003939931,0.0004254975,0.00162631,0.001581488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004396751,0.004289477,0.0205392,0.0007121232,0.00002126238,0.000585076,0.02292002,0.001560555,0.01224131,0.03459633,0.07562764,0.8264673],"study_design_scores_gemma":[0.0003382868,0.002037582,0.04076868,0.002352481,0.0001140459,0.003517153,0.02400477,0.00910999,0.03312989,0.1232917,0.7612467,0.00008878044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4747785,0.006854005,0.1152014,0.02875482,0.002016326,0.0006249135,0.0002554331,0.002133908,0.3693807],"genre_scores_gemma":[0.7664835,0.006523038,0.06601411,0.003928761,0.0002479213,0.0003080391,0.0005057845,0.0002080595,0.1557807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02093894,"threshold_uncertainty_score":0.07004774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09369836387400575,"score_gpt":0.2739597577055075,"score_spread":0.1802613938315017,"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."}}