{"id":"W4285240631","doi":"10.1007/978-3-030-94346-2_12","title":"Best Practices and Language Policy Designs: Lessons from Canada and Wales","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Best practice; Political science; Computer science; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009954044,0.0005715254,0.0006844133,0.002398855,0.01782057,0.02460509,0.003102934,0.004377785,0.008862483],"category_scores_gemma":[0.01979907,0.0006352772,0.0004513547,0.005849336,0.01602929,0.005671701,0.004500178,0.006086755,0.0007977453],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1493724,"about_ca_system_score_gemma":0.3222049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9774111,"about_ca_topic_score_gemma":0.9916028,"domain_scores_codex":[0.9898434,0.003615534,0.0002370431,0.0004303529,0.002993508,0.002880152],"domain_scores_gemma":[0.9901226,0.004409369,0.0001973544,0.0003153247,0.003386213,0.001569146],"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":[0.00002626606,0.00005342942,0.001432873,0.0002435085,0.00001124377,0.0003039307,0.05529775,0.001337632,0.0001390988,0.7894799,0.07066378,0.08101057],"study_design_scores_gemma":[0.00002757381,0.00002648571,0.005605378,0.001587012,0.00003742807,0.0001487051,0.1368016,0.001172996,0.0003680259,0.1344566,0.7196659,0.0001022884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04002781,0.01744063,0.008209853,0.1278376,0.0008447858,0.0001906794,0.0002901561,0.0001782708,0.8049802],"genre_scores_gemma":[0.6032664,0.01518322,0.01771774,0.01438735,0.000129679,0.0002283838,0.0002542997,0.0003678106,0.3484652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1493724,"threshold_uncertainty_score":0.9866074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1954805451676364,"score_gpt":0.486611820696371,"score_spread":0.2911312755287346,"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."}}