{"id":"W2964627950","doi":"","title":"\"Are you a Bengali or Are You Indian\"?: Bengalis in Canada","year":2019,"lang":"en","type":"article","venue":"Alternate routes","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bengali; Geography; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003452057,0.00014577,0.0002166498,0.00009542928,0.0001898344,0.0001163842,0.000329644,0.00008428471,0.0009093386],"category_scores_gemma":[0.0002984487,0.0001197126,0.00004568021,0.0002899703,0.00003576128,0.0004440701,0.00002609552,0.0001855819,0.00009342965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101684,"about_ca_system_score_gemma":0.0008456997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751177,"about_ca_topic_score_gemma":0.999377,"domain_scores_codex":[0.9984403,0.0001690082,0.0002793508,0.0002835373,0.0004659746,0.0003617758],"domain_scores_gemma":[0.9992077,0.00009340129,0.0002554678,0.0002115259,0.0001160045,0.0001159124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002198267,0.00002798322,0.9710142,0.00002074415,0.00002010763,0.00003662896,0.01750563,0.00005598249,0.00005078244,0.003085188,0.006161305,0.001999495],"study_design_scores_gemma":[0.001236285,0.00009742582,0.4966572,0.0003887762,0.00002654484,0.000005332701,0.1021372,0.0006362693,0.001747272,0.001526219,0.3946807,0.0008607769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917083,0.0002192292,0.000004228994,0.00187902,0.000850199,0.0002996696,0.0000752235,0.00003557752,0.004928568],"genre_scores_gemma":[0.9912876,0.0002261881,0.00003197158,0.0006319062,0.0003071924,0.00002060435,0.00003129722,0.0000146588,0.007448563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.474357,"threshold_uncertainty_score":0.9956621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815921225078424,"score_gpt":0.2690833332926383,"score_spread":0.2509241210418541,"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."}}