{"id":"W4253880205","doi":"10.4095/301433","title":"Mother Tongue, 2006 - Other Languages (by census subdivision)","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":"Subdivision; Census; Tongue; Genealogy; Geography; Computer science; Linguistics; Demography; History; Sociology; Population; Archaeology; 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":[0.0003672708,0.000714807,0.0002484768,0.003232756,0.001057073,0.0009173432,0.0009802021,0.0002778396,0.01325434],"category_scores_gemma":[0.001681327,0.0003170989,0.0003168556,0.005269591,0.0001275042,0.0006926592,0.0008651797,0.0006167661,0.005962273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003281454,"about_ca_system_score_gemma":0.005493368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.664072,"about_ca_topic_score_gemma":0.8126521,"domain_scores_codex":[0.9993579,0.00002731159,0.00006252163,0.00005286685,0.0003239661,0.0001754985],"domain_scores_gemma":[0.9986334,0.00003915249,0.0001990737,0.00004184759,0.0009161872,0.0001702713],"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":[0.0002807811,0.0002852168,0.3827685,0.000673015,0.00007061378,0.0004521834,0.002328754,0.000402689,0.0009483053,0.001223066,0.5590829,0.05148403],"study_design_scores_gemma":[0.00002081173,0.00003501154,0.8876571,0.0001225231,0.00001540382,0.0001378594,0.001325439,0.0001484132,0.0004068278,0.00005388221,0.1100661,0.00001061661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1109869,0.0008645544,0.000209658,0.0005140937,0.0001427796,0.0004605131,0.8281163,0.0001578906,0.05854721],"genre_scores_gemma":[0.1319168,0.003816589,0.001386653,0.0003731154,0.0000806308,0.0008477516,0.7443901,0.00007641393,0.1171119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.335928,"threshold_uncertainty_score":0.6758127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08174234485956237,"score_gpt":0.518905696600543,"score_spread":0.4371633517409806,"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."}}