{"id":"W3116207020","doi":"","title":"Diversity in Majority Language","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Diversity (politics); Computer science; Natural language processing; Linguistics; Sociology; Anthropology; 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":[0.002688758,0.0001739371,0.0005628091,0.00193407,0.004080711,0.004435452,0.0004407548,0.0006430216,0.01703283],"category_scores_gemma":[0.01197383,0.0001189131,0.0002451366,0.00181947,0.003328423,0.002965749,0.004646799,0.001234709,0.001042473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362647,"about_ca_system_score_gemma":0.0009764378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006552177,"about_ca_topic_score_gemma":0.007751648,"domain_scores_codex":[0.9958876,0.001591385,0.0000990976,0.000741202,0.0005687401,0.001111896],"domain_scores_gemma":[0.9919506,0.00397204,0.0005817132,0.000613332,0.00134191,0.001540433],"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":[0.001059457,0.0002086439,0.07362671,0.0002556843,0.0001251558,0.000878375,0.1241868,0.000788614,0.00339274,0.6889973,0.01879386,0.08768675],"study_design_scores_gemma":[0.0001161444,0.000228546,0.2649405,0.0003587179,0.00007517501,0.001001477,0.09936125,0.001490334,0.00203109,0.5451686,0.08513909,0.00008915487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7239751,0.0009127629,0.001290382,0.006258557,0.0001167783,0.0000200762,0.0004794787,0.00001637731,0.2669305],"genre_scores_gemma":[0.9950428,0.00009432902,0.00005144108,0.0002626353,0.00006942476,0.000006630799,0.0000462242,0.000007484615,0.004419085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01703283,"threshold_uncertainty_score":0.05698049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06226733051781506,"score_gpt":0.3699212814507526,"score_spread":0.3076539509329375,"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."}}