{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004124293,0.00009510959,0.0001583902,0.00004655409,0.00006079505,0.00009190047,0.0003909856,0.00004469481,0.00002489643],"category_scores_gemma":[0.0003503337,0.00008695549,0.00005547946,0.0003121567,0.00001144665,0.0002061679,0.0001151655,0.0002374252,0.0001036997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003737011,"about_ca_system_score_gemma":0.00002769674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007093221,"about_ca_topic_score_gemma":0.000003857935,"domain_scores_codex":[0.9989545,0.0001109704,0.000190984,0.0003135527,0.0001679112,0.0002620859],"domain_scores_gemma":[0.9996117,0.0000870439,0.00005166343,0.0001322233,0.0000177304,0.00009966673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001027492,0.00004516655,0.06523568,0.00003326075,0.00003574559,0.0003452206,0.1432698,0.007349343,0.003935986,0.4617885,0.0004985306,0.3174525],"study_design_scores_gemma":[0.001007376,0.0004532966,0.05045817,0.0005315202,0.00001237806,0.000047131,0.0110572,0.3731989,0.001966244,0.001508696,0.5583968,0.0013623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1380195,0.0002034905,0.8437871,0.002897644,0.0002364647,0.000118287,3.038224e-7,0.0003508506,0.01438636],"genre_scores_gemma":[0.9790407,0.000002890209,0.01963336,0.000717685,0.0001511253,0.000006331395,3.229682e-7,0.000006982053,0.0004405402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8410212,"threshold_uncertainty_score":0.3545942,"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."}}