{"id":"W4399226099","doi":"10.5040/9781350340350","title":"The Bloomsbury Handbook of Language Learning and Technology","year":2024,"lang":"en","type":"book","venue":"Bloomsbury Publishing Plc eBooks","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Coronavirus disease 2019 (COVID-19); Pandemic; Field (mathematics); Language acquisition; Scale (ratio); Language education; Pedagogy; Library science; Sociology; Engineering ethics; Mathematics education; Engineering; Computer science; Geography; Psychology; Archaeology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001707792,0.0006043677,0.0007314457,0.00078106,0.001421681,0.004354971,0.000867116,0.0004786332,0.0002536808],"category_scores_gemma":[0.0007813111,0.0004535717,0.0002403979,0.00005207394,0.001520606,0.0003846936,0.0006695861,0.004737221,0.00007277614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009477446,"about_ca_system_score_gemma":0.0004289423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001618384,"about_ca_topic_score_gemma":0.0003838927,"domain_scores_codex":[0.997022,0.0002055142,0.0007724396,0.0007369287,0.000597899,0.0006652015],"domain_scores_gemma":[0.9976105,0.0008350587,0.0005748295,0.0005985163,0.000251454,0.0001296192],"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":[0.00003134538,0.00002992636,0.00005167194,0.0009697361,0.0007689248,0.000225513,0.04308431,0.000002968309,0.0001903846,0.5450681,0.2447826,0.1647945],"study_design_scores_gemma":[0.0002805803,0.0001450019,5.498894e-7,0.002034567,0.0002842423,0.00005949489,0.005236798,0.00004061514,0.00007637266,0.01487435,0.9764783,0.0004891498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001377862,0.0902212,0.000006574404,0.0008510679,0.001274098,0.0003573826,0.00004810614,0.0009484786,0.9049152],"genre_scores_gemma":[0.00520289,0.0004906686,0.00007097126,0.0001211854,0.001866937,0.0000462846,0.00008293141,0.000214047,0.9919041],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7316957,"threshold_uncertainty_score":0.9998783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262914936185024,"score_gpt":0.2236616475972025,"score_spread":0.2110324982353523,"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."}}