{"id":"W2614233404","doi":"","title":"Whole School Approaches to Supporting English Language Learners in Public Elementary Schools","year":2017,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; English language; Pedagogy; Linguistics; Sociology; Computer science; Psychology","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":[0.006080723,0.0003190737,0.0005132452,0.001239452,0.01073867,0.004379629,0.001679288,0.00118437,0.004150842],"category_scores_gemma":[0.004990138,0.0005033855,0.0003657177,0.001249002,0.009800918,0.00387207,0.006264349,0.001761147,0.000236403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0132317,"about_ca_system_score_gemma":0.01771198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04247048,"about_ca_topic_score_gemma":0.1166266,"domain_scores_codex":[0.9928324,0.004683235,0.0001991799,0.0003776941,0.0003807369,0.001526758],"domain_scores_gemma":[0.9939376,0.002662012,0.0006503743,0.0003702898,0.0004556607,0.001924045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007787781,0.0003884621,0.02215873,0.0003759557,0.00002167538,0.0009673834,0.9476623,0.0003255346,0.0009386044,0.007974181,0.001083728,0.01802549],"study_design_scores_gemma":[0.00001101039,0.000122649,0.007981564,0.0001569535,0.00001810293,0.000100095,0.9770054,0.000103383,0.0002970747,0.0007587902,0.01343393,0.00001104805],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875147,0.0003460606,0.001296686,0.00181651,0.00002314519,0.0001726258,0.00002807462,0.0000183001,0.008783915],"genre_scores_gemma":[0.996407,0.0002694838,0.0006408733,0.0002068428,0.000004898367,0.00005712685,0.00001302797,0.000006447421,0.002394366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04247048,"threshold_uncertainty_score":0.09600312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08246039278039242,"score_gpt":0.3312102885571672,"score_spread":0.2487498957767748,"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."}}