{"id":"W2763481429","doi":"10.2495/sdp-v13-n2-268-280","title":"Residential conditions for immigrant population","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Environmental science; Business; Geography; Environmental health; Medicine; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002693862,0.0002710192,0.0002579206,0.001204429,0.0008382933,0.001757986,0.0004412006,0.0008664065,0.01722677],"category_scores_gemma":[0.001239815,0.0001756213,0.000776593,0.001189663,0.000584512,0.0009365188,0.001307272,0.0004496261,0.0014885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479789,"about_ca_system_score_gemma":0.001009115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02898535,"about_ca_topic_score_gemma":0.02980898,"domain_scores_codex":[0.999773,0.00005969301,0.00001752036,0.00004244591,0.00003278615,0.00007463698],"domain_scores_gemma":[0.9997495,0.00006614743,0.00006630361,0.0000201364,0.00005348078,0.00004441068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001792283,0.0002614169,0.7982314,0.0003100612,0.0001105572,0.002538232,0.005304428,0.02782046,0.00111428,0.1064636,0.01135291,0.04631346],"study_design_scores_gemma":[0.000031383,0.000392692,0.865894,0.0004160252,0.0001745057,0.002967714,0.01603012,0.04860894,0.0003342643,0.02855341,0.0364846,0.0001122881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151431,0.001496521,0.005370815,0.002070674,0.00008514822,0.0001456944,0.005447543,0.0001060336,0.0701344],"genre_scores_gemma":[0.9925101,0.0006853826,0.0007184619,0.00005365455,0.0000239514,0.00008588481,0.001042053,0.000008172167,0.00487237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02898535,"threshold_uncertainty_score":0.05763328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680069072512775,"score_gpt":0.3298791521814891,"score_spread":0.3130784614563614,"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."}}