{"id":"W4213423137","doi":"10.1017/s1366728922000074","title":"How to frame bilingualism in context: Putting people and places in mind","year":2022,"lang":"en","type":"article","venue":"Bilingualism Language and Cognition","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Neuroscience of multilingualism; Frame (networking); Context (archaeology); Content (measure theory); Linguistics; Computer science; Psychology; Sociology; World Wide Web; Geography; Telecommunications; Mathematics; Philosophy","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":[0.002347572,0.0007181009,0.0007069986,0.00208136,0.003684237,0.008984651,0.001214234,0.002502393,0.01198084],"category_scores_gemma":[0.006668675,0.0004633419,0.0007735551,0.001463835,0.01679918,0.01641888,0.004343607,0.003274901,0.002145166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003194695,"about_ca_system_score_gemma":0.00376431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02665613,"about_ca_topic_score_gemma":0.03564332,"domain_scores_codex":[0.9988286,0.0007537043,0.00005350689,0.0001456968,0.00008806009,0.0001303952],"domain_scores_gemma":[0.9979166,0.0008019,0.0001619281,0.0003227855,0.000391645,0.000405141],"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":[0.00006704011,0.00002785558,0.003334092,0.0004178754,0.00004911931,0.0005646213,0.08058599,0.0007839073,0.0009946291,0.8414476,0.02283362,0.0488936],"study_design_scores_gemma":[0.00001961458,0.00002428586,0.002727241,0.0007721066,0.00005523091,0.0003342838,0.04042701,0.0008332102,0.0007326106,0.7909835,0.1630346,0.00005622397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05839099,0.01988333,0.2093093,0.269942,0.005629799,0.0001756448,0.001208766,0.0009068505,0.4345533],"genre_scores_gemma":[0.9106915,0.006174758,0.0622482,0.005086668,0.0006687539,0.0001542239,0.0004297174,0.0003674162,0.0141787],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02665613,"threshold_uncertainty_score":0.05300194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146028625772212,"score_gpt":0.3831864290196839,"score_spread":0.3517261427619618,"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."}}