{"id":"W7067929289","doi":"","title":"Native speaker constructions in multilingual families","year":2022,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Waterloo","keywords":"First language; Construct (python library); German; Focus (optics); Context (archaeology); Language family","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005446428,0.000421423,0.0003527196,0.001176118,0.01660797,0.004051734,0.0008914677,0.0008384315,0.006106582],"category_scores_gemma":[0.008649663,0.0003164043,0.0002339024,0.0008618023,0.01031453,0.003036495,0.008452758,0.001606298,0.000343105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004493942,"about_ca_system_score_gemma":0.003311637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01589702,"about_ca_topic_score_gemma":0.0180519,"domain_scores_codex":[0.9917128,0.006022934,0.0001715692,0.0005507721,0.0008377992,0.0007041217],"domain_scores_gemma":[0.9950203,0.002671482,0.000863928,0.0002854961,0.0005381383,0.0006207126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001421337,0.00001245085,0.002970951,0.0000260029,0.000004830685,0.001718161,0.9696329,0.00003074847,0.0003795494,0.01970072,0.0005147154,0.004994846],"study_design_scores_gemma":[0.000006244714,0.00005023747,0.004096743,0.000119718,0.00001524683,0.002704792,0.9439933,0.000136548,0.0006356217,0.006716756,0.04149608,0.0000287438],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936977,0.001462474,0.00328659,0.003061921,0.0001518869,0.00003097268,0.00002780395,0.00003590267,0.05496541],"genre_scores_gemma":[0.9962369,0.0003442073,0.0002961807,0.0001238376,0.00001811395,0.00001376484,0.000005515923,0.000009930888,0.002951438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01660797,"threshold_uncertainty_score":0.03260595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149773247856799,"score_gpt":0.2404031247796753,"score_spread":0.2289053923011073,"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."}}