{"id":"W4253718704","doi":"10.4095/301424","title":"Bilingualism, 2006 (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Neuroscience of multilingualism; Division (mathematics); Geography; Linguistics; Sociology; Mathematics; Demography; Arithmetic; Population; 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":[0.0004955197,0.0009889625,0.000391987,0.004380614,0.001470545,0.001650033,0.0009994364,0.0004321021,0.01450125],"category_scores_gemma":[0.002301693,0.0004949435,0.0004875498,0.008926039,0.0003025572,0.000764833,0.0006995375,0.001066155,0.007802577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01637708,"about_ca_system_score_gemma":0.03585329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9653851,"about_ca_topic_score_gemma":0.9787236,"domain_scores_codex":[0.9989176,0.00002722193,0.0000878956,0.00008938555,0.0006507227,0.0002272228],"domain_scores_gemma":[0.9973215,0.0000548537,0.0002215976,0.00004197364,0.002050079,0.0003100424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000970878,0.00008244278,0.04240349,0.000509938,0.00002747193,0.00007193779,0.0003441295,0.0002715385,0.0002186085,0.0007297015,0.934734,0.0205096],"study_design_scores_gemma":[0.00006361931,0.00002927768,0.5785997,0.0003238243,0.00002439365,0.0001302087,0.0007380279,0.0004090701,0.0003541203,0.0001381689,0.4191536,0.00003605182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006426151,0.000592662,0.000088678,0.0005295915,0.0001255062,0.0002272663,0.9708661,0.0001078442,0.02103625],"genre_scores_gemma":[0.03737969,0.004914077,0.001304406,0.0007872853,0.000113434,0.0007391887,0.8725237,0.00009652283,0.08214164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03461486,"threshold_uncertainty_score":0.1188245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312499751438268,"score_gpt":0.5347131662070683,"score_spread":0.4034631910632415,"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."}}