{"id":"W4386233751","doi":"10.3102/2015162","title":"Linguistic Landscape of Vancouver: Multilingualism and Translanguaging","year":2023,"lang":"en","type":"article","venue":"","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Translanguaging; Multilingualism; Linguistics; Linguistic landscape; Computer science; Philosophy","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":[0.0008173987,0.0002343163,0.0002621523,0.002294936,0.01698904,0.01157021,0.000911907,0.0009469611,0.01187721],"category_scores_gemma":[0.002916388,0.0002212199,0.0001041777,0.005280798,0.006003991,0.001453615,0.004090064,0.001943582,0.000549236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0269716,"about_ca_system_score_gemma":0.03023098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9343212,"about_ca_topic_score_gemma":0.9824533,"domain_scores_codex":[0.9985312,0.0004089025,0.00003846803,0.0001209627,0.0002631778,0.0006372645],"domain_scores_gemma":[0.9980735,0.0003105008,0.0001233448,0.00007072366,0.0008324836,0.0005894161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005560493,0.0001569424,0.09216339,0.0005855295,0.00005902744,0.004390783,0.4125361,0.0007520697,0.003338207,0.2434465,0.03481346,0.2072019],"study_design_scores_gemma":[0.00001983385,0.00005867157,0.1265419,0.0005413876,0.0000345064,0.0006743811,0.5815301,0.0004116394,0.0006688019,0.01047086,0.2789576,0.00009038889],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7755736,0.004567563,0.0003142034,0.01600548,0.0001050885,0.00002937505,0.0004465623,0.00003017715,0.2029279],"genre_scores_gemma":[0.9783942,0.001101141,0.0001825024,0.0004662682,0.00001197096,0.00001196224,0.00008077053,0.0000188675,0.01973235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06567878,"threshold_uncertainty_score":0.1956936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04980112067818528,"score_gpt":0.443544658622247,"score_spread":0.3937435379440617,"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."}}