{"id":"W2890137299","doi":"10.12968/sece.2018.23.8b","title":"EAL: Working with new arrivals","year":2018,"lang":"en","type":"article","venue":"SecEd","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Advice (programming); Mathematics education; Series (stratigraphy); Medical education; Psychology; Sociology; Pedagogy; Political science; Public relations; Computer science; Medicine; Programming language; Geology","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":[0.01536622,0.001095831,0.0007383603,0.001548017,0.01815207,0.01160944,0.003932931,0.01275403,0.1115421],"category_scores_gemma":[0.03219493,0.0009290649,0.0008964882,0.001234692,0.003268151,0.01548316,0.0177126,0.01598377,0.04523933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003680434,"about_ca_system_score_gemma":0.01909492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011425,"about_ca_topic_score_gemma":0.03472146,"domain_scores_codex":[0.9927,0.002878584,0.0002651093,0.0004906356,0.001071604,0.002594106],"domain_scores_gemma":[0.944305,0.003128167,0.001426696,0.001086976,0.006034083,0.044019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003388309,0.000169313,0.002334831,0.0001137447,0.000005934303,0.0006695656,0.006497905,0.0000236437,0.0001860045,0.001247137,0.940988,0.04773004],"study_design_scores_gemma":[0.00003493946,0.0001543596,0.003096993,0.0005186905,0.000008606451,0.0006869378,0.0840706,0.00008546991,0.0001417481,0.001925251,0.9092138,0.00006256137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01867219,0.005735513,0.001673333,0.8398263,0.02577337,0.0003248828,0.0004553795,0.001428953,0.1061101],"genre_scores_gemma":[0.0897652,0.01178771,0.00903725,0.4446977,0.01147675,0.001123297,0.0009331348,0.0009480492,0.430231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1115421,"threshold_uncertainty_score":0.3731456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1641657682825247,"score_gpt":0.4807397227138206,"score_spread":0.3165739544312959,"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."}}