{"id":"W6997515274","doi":"","title":"The Youngest Bilingual Canadians: Insights from the 2016 Census Regarding Children Aged 0–9 Years \\n","year":2022,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Neuroscience of multilingualism; First language; Context (archaeology)","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":[0.001375189,0.0003796454,0.0004264903,0.002430484,0.003868329,0.002169805,0.0008258492,0.0003845636,0.002635073],"category_scores_gemma":[0.005049945,0.0002716253,0.0005208746,0.006575768,0.0007772542,0.0007920865,0.001292047,0.000775697,0.0004026869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01908401,"about_ca_system_score_gemma":0.04122247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958227,"about_ca_topic_score_gemma":0.9982203,"domain_scores_codex":[0.9986076,0.0001236811,0.000068689,0.0001538438,0.0005075387,0.0005387389],"domain_scores_gemma":[0.9969624,0.0002174569,0.0004543906,0.00008411868,0.00182687,0.000454714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006674196,0.00002457387,0.9419284,0.0003393374,0.00006991102,0.0003371472,0.02421921,0.0001588732,0.00022734,0.0013158,0.01442608,0.01688663],"study_design_scores_gemma":[0.000003629845,0.00001286933,0.9488119,0.0003681443,0.00004177999,0.00009676849,0.03182225,0.0001000048,0.00009421941,0.0001208955,0.0185015,0.00002607725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027911,0.007489966,0.0003959825,0.00637511,0.0001627482,0.0001212192,0.0514941,0.00002167004,0.03114817],"genre_scores_gemma":[0.9738057,0.007746067,0.0007364763,0.0008721111,0.0000484117,0.00009266922,0.01260036,0.00002335671,0.004074744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01908401,"threshold_uncertainty_score":0.1384648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030268241679543,"score_gpt":0.2945939472165477,"score_spread":0.2642912647997523,"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."}}