{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315751,0.00004714494,0.0001377723,0.0001958868,0.0007217686,0.00003414237,0.0001428827,0.00001319612,0.0001769693],"category_scores_gemma":[0.0003419004,0.0000443305,0.00002608925,0.001020659,0.00004794855,0.00007933735,0.00005482176,0.0001519323,4.831333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238862,"about_ca_system_score_gemma":0.0007032826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939535,"about_ca_topic_score_gemma":0.9952955,"domain_scores_codex":[0.9984052,0.0003909391,0.0001758574,0.0001524902,0.0005115544,0.0003640112],"domain_scores_gemma":[0.999554,0.0001654303,0.00004237736,0.00006853433,0.00004994679,0.0001197258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000103584,0.00001343732,0.6708892,0.0003920915,0.000006948444,0.00000145694,0.002042274,0.000002434487,6.339807e-7,0.03013854,0.0160036,0.280499],"study_design_scores_gemma":[0.0001875976,0.00004247527,0.7002134,0.0002474761,0.000003738812,5.84667e-7,0.00275863,0.00005575404,2.841606e-7,0.01391157,0.2824757,0.0001027373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8768939,0.07673033,0.000003678431,0.03557821,0.0002749996,0.001895604,0.0001192371,0.00002306386,0.008481008],"genre_scores_gemma":[0.9702194,0.02832578,0.0000121396,0.000259891,0.00008961614,0.0001613853,0.00002182037,0.000003636076,0.0009062723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2803963,"threshold_uncertainty_score":0.5551333,"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."}}