{"id":"W2289288650","doi":"10.14288/1.0074366","title":"\"They all talk Okanagan and I know what they are saying.\" language nests in the early years : insights, challenges and promising practices.","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Linguistics; Ecology; Computer science; Geography; Biology; Philosophy","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":[0.004730099,0.0003523467,0.0003084081,0.0006479337,0.01724467,0.004187912,0.001054681,0.001209144,0.003332745],"category_scores_gemma":[0.004112164,0.0002848138,0.0002510003,0.0004558929,0.01319692,0.004190854,0.005651759,0.003399327,0.0005791103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004647631,"about_ca_system_score_gemma":0.01113395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09739055,"about_ca_topic_score_gemma":0.3061121,"domain_scores_codex":[0.9969708,0.001857209,0.00006154206,0.0001567404,0.0003354622,0.0006181939],"domain_scores_gemma":[0.9968816,0.001028309,0.0002800995,0.0001105242,0.0003455075,0.001353996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001263925,0.00003110928,0.004049926,0.0000878823,0.000002848394,0.0008281613,0.9686658,0.0000125354,0.0006844284,0.004581025,0.003527611,0.01751612],"study_design_scores_gemma":[0.000001786291,0.00002586422,0.00390014,0.0001430022,0.000003413492,0.0002651038,0.9476606,0.00001684166,0.0001364501,0.0005935085,0.04723959,0.00001373427],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8626413,0.005466341,0.002710287,0.04217855,0.0005916902,0.00011722,0.000076547,0.00008954143,0.08612853],"genre_scores_gemma":[0.9601975,0.002153109,0.002519842,0.003070686,0.00003510834,0.00008111275,0.00002785014,0.00002917548,0.03188566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9026095,"threshold_uncertainty_score":0.1936473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419753945685974,"score_gpt":0.2956455003367021,"score_spread":0.2614479608798424,"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."}}