{"id":"W4294100247","doi":"10.31124/advance.20407233.v1","title":"Asynchronous Google Classroom Mathematics and Synchronous L2 Oral Performance","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Reading (process); Reading comprehension; Comprehension; Asynchronous communication; Cognition; Mathematics education; Multimedia; Psychology; Linguistics; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007239976,0.0002882775,0.000484633,0.000184557,0.001268515,0.0001325887,0.0006642901,0.0003681755,0.00212325],"category_scores_gemma":[0.0002401771,0.0002961827,0.00007811544,0.0002758868,0.0007808637,0.0001222467,0.001649665,0.0008829904,0.0001084834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009876887,"about_ca_system_score_gemma":0.0009542041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183493,"about_ca_topic_score_gemma":0.001408079,"domain_scores_codex":[0.9979488,0.00007403389,0.0003895985,0.0005708174,0.0004917386,0.0005250389],"domain_scores_gemma":[0.9987387,0.0001737506,0.0002973592,0.0005641151,0.0001230178,0.0001030524],"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":[0.00002819574,0.001195483,0.04310178,0.001847756,0.0008581937,0.00002052068,0.2624988,0.0006229532,0.0001289612,0.1843152,0.09262399,0.4127583],"study_design_scores_gemma":[0.000818892,0.0004255995,0.03266045,0.0003134806,0.0003617147,0.00002531657,0.2597593,0.001779435,0.0004837825,0.06202642,0.6383904,0.002955206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8354579,0.00195107,0.002546246,0.003415419,0.002073261,0.0009880388,0.00002705058,0.002179704,0.1513613],"genre_scores_gemma":[0.9337283,0.003823756,0.04557771,0.0001757218,0.0002445482,0.000498193,0.00001661059,0.00004255217,0.01589264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5457665,"threshold_uncertainty_score":0.999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210528296929117,"score_gpt":0.3313170233536797,"score_spread":0.2992117403843886,"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."}}