{"id":"W4255803483","doi":"10.4095/301431","title":"Mother Tongue, 2006 - French (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Tongue; Geography; Genealogy; Demography; History; Linguistics; Archaeology; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004508437,0.0003389155,0.000413626,0.0001002161,0.0001609356,0.0001966102,0.0009824119,0.0004068594,0.001732309],"category_scores_gemma":[0.0004003087,0.0002553979,0.0001598005,0.0002099318,0.00005127028,0.00007237471,0.0005442918,0.0004701584,0.0001884894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009574784,"about_ca_system_score_gemma":0.0002236353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007681674,"about_ca_topic_score_gemma":0.0002286504,"domain_scores_codex":[0.9974228,0.00002763649,0.0004022159,0.0007113918,0.001009436,0.0004265232],"domain_scores_gemma":[0.9979516,0.0001210305,0.0002391029,0.0009234414,0.000643098,0.000121747],"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":[3.643271e-7,0.00004295873,0.00006679822,0.00002621522,0.0000402002,0.0000680607,0.00008525886,1.503595e-7,0.00002703196,0.001607872,0.9723727,0.02566246],"study_design_scores_gemma":[0.0001276735,0.0000368353,0.00101781,0.00004227712,0.00002313787,0.00004530555,0.00001079654,0.0002879092,0.00009505927,0.0004794686,0.9974356,0.0003981851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001294844,0.006284777,0.07026417,0.0003709462,0.008038901,0.0002955617,0.0002112737,0.0004196558,0.9139853],"genre_scores_gemma":[0.04174552,0.003221427,0.07603109,0.005760273,0.01528709,0.0001502994,0.001040009,0.0002681164,0.8564962],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05748906,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453762083349423,"score_gpt":0.2762298003456262,"score_spread":0.261692179512132,"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."}}