{"id":"W2901487483","doi":"10.3138/cpp.2017-032","title":"Basic Information and Communication Technology Skills among Canadian Immigrants and Non-Immigrants","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Immigration; Demographic economics; New immigrants; Political science; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005924076,0.0001191667,0.0001432148,0.00205375,0.001554327,0.0003931104,0.0003422503,0.0002676216,0.00009555151],"category_scores_gemma":[0.000676754,0.0001329602,0.00001659892,0.001250606,0.0009694499,0.001040869,0.00002815821,0.0001390296,0.0001270508],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006170895,"about_ca_system_score_gemma":0.007903081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985745,"about_ca_topic_score_gemma":0.9995998,"domain_scores_codex":[0.9986719,0.00009823008,0.0002430995,0.0001447598,0.0001254526,0.0007164849],"domain_scores_gemma":[0.9977276,0.00003856847,0.0001105345,0.0003540222,0.0002763113,0.001492935],"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":[8.131321e-7,0.000008372199,0.5189379,0.00001512146,0.00002252981,8.696156e-7,0.06869807,3.455111e-8,0.000003234619,0.2875422,0.03464131,0.09012955],"study_design_scores_gemma":[0.0001494626,0.00001333604,0.3386853,0.00002337323,0.000003525767,0.000005173124,0.009178753,0.000008647567,0.000003366005,0.001632725,0.6501462,0.0001501266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.854457,0.0001361926,0.000003612405,0.08875093,0.0001639855,0.0003421825,0.00009833821,0.00004073744,0.05600698],"genre_scores_gemma":[0.9934953,0.000156501,0.00004077225,0.004964643,0.0003704322,0.0000370825,0.00002891187,0.000009724158,0.0008966555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6155049,"threshold_uncertainty_score":0.9997455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009767159686724,"score_gpt":0.2795707950437032,"score_spread":0.2694731234468359,"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."}}