{"id":"W4407865574","doi":"10.18806/tesl.v41i2/1407","title":"A Word from the Editors","year":2024,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Western University","funders":"","keywords":"Word (group theory); Linguistics; Psychology; Philosophy","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":[0.0001088759,0.00004051693,0.0000308408,0.00001587642,0.00009856451,0.0003176863,0.0003946076,0.000008853244,0.0004555649],"category_scores_gemma":[0.00002321747,0.0000260167,0.00001864376,0.0001310396,0.00000450846,0.0001048313,0.00003106704,0.0001960491,0.000005558566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240468,"about_ca_system_score_gemma":0.001167075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03275653,"about_ca_topic_score_gemma":0.008370833,"domain_scores_codex":[0.9995039,0.000007335181,0.0000746143,0.00006380865,0.000240713,0.0001096193],"domain_scores_gemma":[0.9996012,0.0001831697,0.00001064188,0.0001030523,0.00002632278,0.00007563463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[1.006346e-7,0.000001468368,0.00001337395,0.000001082058,0.00001576015,0.00004329157,0.0001468754,0.002687402,0.00002099136,0.006796073,0.9848932,0.005380379],"study_design_scores_gemma":[0.00001902571,0.000003334,0.002865093,0.00003440289,0.000003442539,0.00007375638,0.00003135008,0.04919446,0.00001182297,0.003915447,0.9437867,0.00006119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008654681,0.08572496,0.5729228,0.2103465,0.1207139,0.00007795837,0.0000138625,0.0001563479,0.001388962],"genre_scores_gemma":[0.8636618,0.00007224406,0.03109526,0.04359748,0.060859,0.000004818718,0.000002930044,0.00002801167,0.0006784878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8550071,"threshold_uncertainty_score":0.9736844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007243958245282822,"score_gpt":0.1961406737001865,"score_spread":0.1888967154549037,"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."}}