{"id":"W1630658849","doi":"","title":"ESL readers and writers in higher education : understanding challenges, providing support","year":2015,"lang":"en","type":"book","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Vocabulary; Library science; Sociology; Pedagogy; Political science; Linguistics; Computer science","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":[0.01667235,0.0004947603,0.0007321683,0.002423529,0.01490531,0.0238987,0.002217342,0.005786051,0.01316044],"category_scores_gemma":[0.03203183,0.0004536155,0.0004014489,0.003530538,0.007090434,0.02769918,0.01156985,0.00843364,0.002441158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008880173,"about_ca_system_score_gemma":0.01611596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006420676,"about_ca_topic_score_gemma":0.01024819,"domain_scores_codex":[0.9906155,0.005177939,0.000509362,0.0006171297,0.001622342,0.001457846],"domain_scores_gemma":[0.9679101,0.01748451,0.001729967,0.0006437953,0.004146185,0.008085382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006111795,0.0002334227,0.01063985,0.001440033,0.00001552539,0.001228389,0.5474139,0.0001616128,0.0003423752,0.05160632,0.1767026,0.2101548],"study_design_scores_gemma":[0.000006671163,0.00004252276,0.003508519,0.001866483,0.000004841119,0.0002405616,0.7269271,0.0000981759,0.0001394057,0.01372727,0.2534112,0.00002717823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.07392996,0.05899692,0.002083733,0.7568241,0.006502173,0.0001400048,0.0001908034,0.0001572799,0.1011751],"genre_scores_gemma":[0.8024888,0.07306952,0.007600694,0.04732144,0.004601906,0.0005610232,0.0003558114,0.0001950586,0.06380573],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0238987,"threshold_uncertainty_score":0.08817285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2706890646638234,"score_gpt":0.4137439278175597,"score_spread":0.1430548631537363,"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."}}