{"id":"W3047232911","doi":"","title":"A Logistic Regression Analysis of Life Satisfaction amongst African Immigrants in Hamilton, Canada","year":2020,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Logistic regression; Regression analysis; Demographic economics; Geography; Psychology; Sociology; Demography; Statistics; Mathematics; Economics; Archaeology","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":[0.0008366733,0.0003202461,0.0003923295,0.001597179,0.001687874,0.001141071,0.001165836,0.000290483,0.00394105],"category_scores_gemma":[0.00392563,0.0002512292,0.0008059819,0.004396555,0.0005677996,0.0002768578,0.0006869124,0.0006635038,0.0003297642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01438625,"about_ca_system_score_gemma":0.02367829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916312,"about_ca_topic_score_gemma":0.9907375,"domain_scores_codex":[0.9994233,0.00009733765,0.00004216773,0.00007684065,0.0001539482,0.0002065112],"domain_scores_gemma":[0.9976808,0.0004206267,0.0003760429,0.00009316537,0.0009650013,0.0004643578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004620769,0.00002009766,0.9953572,0.00001072378,0.00003946808,0.0001138038,0.0002393524,0.0002402161,0.00005230373,0.0001300666,0.001049133,0.002701422],"study_design_scores_gemma":[0.000006879702,0.00001679839,0.994853,0.00001965726,0.00002546763,0.00004931204,0.001554707,0.002451871,0.00003680748,0.00003362067,0.0009421686,0.000009846788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929844,0.0001697987,0.0002295052,0.0003587102,0.000009568355,0.00003969939,0.004409447,0.00002219867,0.001776695],"genre_scores_gemma":[0.9960243,0.0002000756,0.0002917814,0.00004622648,0.000004726487,0.00002718909,0.001959966,0.000008770986,0.001437078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01438625,"threshold_uncertainty_score":0.1043801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932956197008417,"score_gpt":0.2475320075688443,"score_spread":0.2082024455987602,"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."}}