{"id":"W2130314054","doi":"10.1016/j.socscimed.2004.06.048","title":"Self-rated health within the Canadian immigrant population: risk and the healthy immigrant effect","year":2004,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":377,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Immigration; Self-rated health; Logistic regression; Demography; Population; Descriptive statistics; National Health Interview Survey; Foreign born; Multivariate analysis; Medicine; Gerontology; Environmental health; Psychology; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.008489533,0.0001724816,0.0003426454,0.000144309,0.005148247,0.00004689892,0.0003365389,0.00009120398,0.00005579134],"category_scores_gemma":[0.0002791175,0.00008351152,0.00004216587,0.001333152,0.001777039,0.00008578295,0.00001220828,0.000471975,0.00002303937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004802041,"about_ca_system_score_gemma":0.001382632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9381495,"about_ca_topic_score_gemma":0.8967665,"domain_scores_codex":[0.9970934,0.0006881835,0.000477525,0.0003927919,0.0006064331,0.0007416453],"domain_scores_gemma":[0.9985303,0.0002069934,0.000316262,0.0002803713,0.000103651,0.0005623731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003995225,0.00004545038,0.0473557,0.00005280827,0.00003374828,0.000008193075,0.7377232,0.00000889089,0.000003315122,0.1964363,0.001695706,0.0162372],"study_design_scores_gemma":[0.008831583,0.001114842,0.9607673,0.00006033852,0.00007220424,0.00006124231,0.01656233,0.0001312742,0.000002699316,0.007874069,0.004307318,0.0002148409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8751578,0.002446107,0.0000440578,0.1179264,0.001391808,0.0013898,0.00001241144,0.00006727379,0.00156433],"genre_scores_gemma":[0.9883878,0.0000896878,0.00001533447,0.01074534,0.0006448981,0.00006167427,0.00001286424,0.00001012338,0.00003224111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9134116,"threshold_uncertainty_score":0.9961469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274391655105114,"score_gpt":0.3357923310793475,"score_spread":0.3230484145282964,"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."}}