{"id":"W4281733158","doi":"10.1007/s11113-022-09723-5","title":"Speeding Up for a Son Among Immigrants in Canada","year":2022,"lang":"en","type":"article","venue":"Population Research and Policy Review","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Fertility; Ethnic group; Demography; Immigration; Preference; Geography; Birth rate; Population; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00315435,0.0002798986,0.0006851847,0.002018103,0.004442201,0.002833252,0.001790756,0.001524277,0.005232337],"category_scores_gemma":[0.008432855,0.0002533293,0.0008495637,0.005036723,0.001496959,0.001090118,0.001234294,0.002442918,0.0002603266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03961131,"about_ca_system_score_gemma":0.1430742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991459,"about_ca_topic_score_gemma":0.9968124,"domain_scores_codex":[0.9983597,0.0001853982,0.0001052551,0.0001062973,0.0003539789,0.0008894294],"domain_scores_gemma":[0.9938077,0.0006967434,0.0008888215,0.00005450676,0.002312263,0.002239895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001475067,0.0003455704,0.3854079,0.007899345,0.0007394638,0.001040363,0.01494697,0.0009739525,0.0003780649,0.008677873,0.09509876,0.4830167],"study_design_scores_gemma":[0.0002591348,0.0003990517,0.7825056,0.01372979,0.001316709,0.0005245621,0.07023612,0.0005360406,0.000401807,0.001253922,0.128645,0.0001922781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6151316,0.2830118,0.0002205996,0.06820236,0.002455961,0.0001612521,0.005304196,0.0000304185,0.02548185],"genre_scores_gemma":[0.7346005,0.2400419,0.0005198962,0.01361581,0.0005581846,0.0001017614,0.001895204,0.00002953946,0.008637187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03961131,"threshold_uncertainty_score":0.2874015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2286250028344148,"score_gpt":0.478299425675879,"score_spread":0.2496744228414642,"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."}}