{"id":"W7075655571","doi":"","title":"Between worlds : online transnationalism of highly skilled Mexicans in Vancouver","year":2020,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Circumstantial evidence; Government (linguistics); Filter (signal processing); Work (physics); Tubulopathy","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":[0.0008957048,0.0002602509,0.0002873342,0.001212726,0.01110354,0.005596192,0.0007043123,0.0006708289,0.006527906],"category_scores_gemma":[0.002533479,0.0002661653,0.0001506194,0.001736692,0.003919079,0.00243437,0.005040959,0.001418664,0.0003975029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005294988,"about_ca_system_score_gemma":0.004263507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4885438,"about_ca_topic_score_gemma":0.6857244,"domain_scores_codex":[0.9993078,0.0002258123,0.00002020832,0.00009516055,0.000121163,0.0002298292],"domain_scores_gemma":[0.9989043,0.0002958083,0.0001940695,0.00008116433,0.0002057636,0.0003188236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004423291,0.0000382847,0.03904998,0.00005304852,0.000008782016,0.0008539613,0.9446756,0.0000215782,0.0006231301,0.001614017,0.001423794,0.01159358],"study_design_scores_gemma":[0.000001169888,0.000006491243,0.01680403,0.00003879954,0.000003110348,0.00006041023,0.975951,0.00002412378,0.00004087311,0.00007479043,0.006989681,0.000005522934],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897543,0.0001472099,0.00009917306,0.0005847198,0.00001313333,0.00001255833,0.0000622914,0.000003968857,0.00932271],"genre_scores_gemma":[0.9914324,0.0004431514,0.0001766319,0.0002522471,0.000005137529,0.00002674023,0.0001108331,0.00001220293,0.007540794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5114562,"threshold_uncertainty_score":0.9714003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008477667221452526,"score_gpt":0.1876239232049288,"score_spread":0.1791462559834763,"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."}}