{"id":"W2477636103","doi":"10.1093/acprof:oso/9780195159912.003.0001","title":"Introduction: Why Language Matters","year":2005,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Linguistics; Computer science; 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":[0.001430269,0.0007841543,0.0006072538,0.001747634,0.002331258,0.005298222,0.001062411,0.003553186,0.1166329],"category_scores_gemma":[0.004328104,0.0004286757,0.0004593935,0.001549859,0.002881152,0.006912321,0.002288853,0.005590344,0.0426501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699649,"about_ca_system_score_gemma":0.002451791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101844,"about_ca_topic_score_gemma":0.01873414,"domain_scores_codex":[0.9990813,0.0003221004,0.00004551173,0.0001238188,0.000274873,0.000152446],"domain_scores_gemma":[0.998092,0.001030331,0.00006685373,0.0001077594,0.0005282001,0.0001748331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001107011,0.00001031263,0.00008448448,0.000146072,0.000002771608,0.00004443959,0.0007780459,0.00003574225,0.00007442799,0.09884234,0.8675324,0.03243791],"study_design_scores_gemma":[0.00000253939,0.000002198258,0.0001599617,0.0001927488,0.00000222226,0.00003291203,0.0004024248,0.00001990644,0.00004297183,0.01930161,0.979835,0.000005465877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0008303775,0.06130668,0.002931918,0.2602087,0.03305759,0.00004584816,0.001014159,0.0002881291,0.6403167],"genre_scores_gemma":[0.02334349,0.03218595,0.002110201,0.1082462,0.02200896,0.0001021749,0.001122822,0.0006300717,0.8102502],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1166329,"threshold_uncertainty_score":0.3901759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03560345958965936,"score_gpt":0.3147963325178464,"score_spread":0.279192872928187,"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."}}