{"id":"W4253847359","doi":"10.4095/301428","title":"Mother Tongue, 2006 - English and French (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Genealogy; Geography; Tongue; History; Linguistics; Demography; Sociology; Arithmetic; Mathematics; 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":[0.0004644959,0.0006224485,0.0002395192,0.004219533,0.001013131,0.0009635318,0.0008226666,0.0002604798,0.0104344],"category_scores_gemma":[0.002031457,0.0002595895,0.000356996,0.005791989,0.0001448088,0.0007666514,0.0007221241,0.0005126819,0.004188263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003908837,"about_ca_system_score_gemma":0.004626362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.764833,"about_ca_topic_score_gemma":0.8626722,"domain_scores_codex":[0.9993029,0.0000351955,0.00007504042,0.00006347697,0.0003513659,0.0001720347],"domain_scores_gemma":[0.9980918,0.00005749975,0.0002766835,0.00003840247,0.001364818,0.0001708803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001700567,0.0001741113,0.5495903,0.0005808715,0.00008855326,0.0003200073,0.002593421,0.0002900306,0.0005383925,0.0009318416,0.3963339,0.04838854],"study_design_scores_gemma":[0.00000810941,0.0000176905,0.9309772,0.00007371901,0.00001001173,0.00009747115,0.00113139,0.00006432142,0.00014138,0.00002228582,0.06744938,0.000007203509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1278049,0.001961189,0.0002236636,0.0006804526,0.0001641195,0.0003956364,0.8166515,0.0001273392,0.05199132],"genre_scores_gemma":[0.1981502,0.006100239,0.001586018,0.0004520637,0.0001188425,0.0009044563,0.7122597,0.00007629808,0.08035216],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.235167,"threshold_uncertainty_score":0.4731039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310240910019784,"score_gpt":0.2354655939876183,"score_spread":0.2123631848874204,"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."}}