{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009451853,0.001380707,0.003459553,0.003475055,0.0005512848,0.002892469,0.001445693,0.001173535,0.005028068],"category_scores_gemma":[0.03172012,0.0005288934,0.01879013,0.004084402,0.0005315832,0.001827359,0.00150485,0.001567647,0.000621857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008359422,"about_ca_system_score_gemma":0.001197834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006250751,"about_ca_topic_score_gemma":0.008192034,"domain_scores_codex":[0.9916733,0.003707839,0.001358569,0.001864539,0.001086056,0.0003097237],"domain_scores_gemma":[0.9647133,0.02622651,0.005294774,0.001656008,0.001625857,0.0004835333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.008559253,0.0003014081,0.1962065,0.08866846,0.6592115,0.0003068781,0.002341566,0.0008679755,0.001043999,0.0009095142,0.002652874,0.03893017],"study_design_scores_gemma":[0.001982064,0.004754664,0.2793403,0.0135785,0.6799937,0.0003812345,0.002606645,0.00113458,0.001424158,0.001498458,0.01317552,0.0001302215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5094554,0.4647036,0.006115426,0.0006844205,0.001446233,0.0007915225,0.009382635,0.0002753698,0.00714536],"genre_scores_gemma":[0.9744834,0.01730678,0.002333899,0.0002857432,0.0002283821,0.001111711,0.001856925,0.0001243582,0.002268844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009451853,"threshold_uncertainty_score":0.04998678,"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."}}