{"id":"W6903481471","doi":"10.11575/prism/46502","title":"Canadian second language teachers’ technology use following the COVID-19 pandemic.","year":2023,"lang":"en","type":"other","venue":"University of Calgary","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Pandemic; Second language; Videoconferencing; Educational technology; Emerging technologies; Information technology; English as a second language; Electronic learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022608,0.0003195483,0.0001889608,0.001504469,0.003598386,0.002100877,0.0007696673,0.0007054584,0.003208454],"category_scores_gemma":[0.007114715,0.0003189924,0.0003171645,0.002510457,0.001025366,0.001164778,0.00173228,0.00109731,0.0005706465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02226875,"about_ca_system_score_gemma":0.02897734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851267,"about_ca_topic_score_gemma":0.9911973,"domain_scores_codex":[0.9990709,0.00006597184,0.00004077752,0.0001063803,0.0004004099,0.0003156178],"domain_scores_gemma":[0.9954392,0.0005735846,0.0009116808,0.0001093701,0.001808043,0.001158137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001751868,0.0001421009,0.7681651,0.0003188334,0.00001763354,0.0008200604,0.1479651,0.0003407822,0.0009348125,0.0005898888,0.0101079,0.07042254],"study_design_scores_gemma":[0.000007276577,0.00006381172,0.9123365,0.000142021,0.00001103093,0.0001190887,0.07738052,0.0002408735,0.0002321533,0.00005014824,0.009377595,0.00003894911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803261,0.0005592468,0.0001672565,0.001534319,0.00002968298,0.00009108383,0.002756051,0.00003969625,0.01449652],"genre_scores_gemma":[0.9930277,0.0007226182,0.000217351,0.0001676469,0.00000436748,0.00004947519,0.0008310923,0.00001061761,0.004968992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02226875,"threshold_uncertainty_score":0.1615719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153344333590354,"score_gpt":0.2278565392710707,"score_spread":0.1963230959351671,"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."}}