{"id":"W3139141769","doi":"10.1109/imcom51814.2021.9377412","title":"Natural Sciences Meet Social Sciences: Census Data Analytics for Detecting Home Language Shifts","year":2021,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Census; Microdata (statistics); Analytics; Computer science; Geography; Data science; Population; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008429841,0.00009739652,0.0001240457,0.00007227733,0.001125132,0.0007976984,0.002461105,0.00003124812,0.000006477644],"category_scores_gemma":[0.0002182005,0.00008138649,0.00003860272,0.001337818,0.0002137336,0.0007857072,0.001151294,0.00007258273,0.000005759429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001855439,"about_ca_system_score_gemma":0.000232719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005068755,"about_ca_topic_score_gemma":0.0001483142,"domain_scores_codex":[0.998421,0.00002558616,0.0001761533,0.0007127882,0.0003148971,0.0003496086],"domain_scores_gemma":[0.9989589,0.0002517203,0.0000733605,0.000589451,0.00008327557,0.000043269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002261041,0.0001598233,0.0002609803,0.00004394453,0.00005157557,0.00002798113,0.002173088,0.00008553212,0.004833675,0.537868,0.02650763,0.4279855],"study_design_scores_gemma":[0.0002265916,0.00004037863,0.0004711592,0.00001313808,0.00001445163,0.00001968338,0.001849439,0.984898,0.002122651,0.00312827,0.006934764,0.0002814441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03852278,0.0005979405,0.9444974,0.008208185,0.0008830425,0.0002619833,0.0006117329,0.000418997,0.005997952],"genre_scores_gemma":[0.3343786,0.000003578056,0.6645626,0.0005224508,0.0002063888,0.000009058717,0.00007647787,0.000005027976,0.0002358533],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9848125,"threshold_uncertainty_score":0.8653718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141168266916986,"score_gpt":0.3677779799790345,"score_spread":0.2536611532873359,"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."}}