{"id":"W2488293768","doi":"","title":"Housing Choices of Muslim Immigrants in Italy","year":2016,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Immigration; Probit model; Marital status; Investment (military); Demographic economics; Population; Economics; Geography; Sociology; Political science; Demography; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004204933,0.000118504,0.0002922939,0.0006142516,0.0001603023,0.0002650713,0.0004293672,0.00002921996,0.0003536023],"category_scores_gemma":[0.0002427252,0.0001008705,0.0001312719,0.0003219091,0.0001706341,0.0005367749,0.00008427359,0.0001361126,0.0009631584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009537573,"about_ca_system_score_gemma":0.00002828888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002839567,"about_ca_topic_score_gemma":0.00006383812,"domain_scores_codex":[0.9982936,0.00006202166,0.0009055815,0.0003318602,0.00005169228,0.0003552508],"domain_scores_gemma":[0.9988856,0.00005965199,0.0006040435,0.000297941,0.00004108801,0.0001116803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001406833,0.000558806,0.7061281,0.00008599204,0.0001273958,0.0002747549,0.02608687,0.0003245163,0.01099838,0.00382074,0.007701178,0.2437525],"study_design_scores_gemma":[0.01048876,0.0003924862,0.5216384,0.001603668,0.00003343387,0.0002942872,0.007506146,0.00198933,0.002898521,0.03347978,0.4170405,0.002634726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032199,0.0002165632,0.0007306219,0.0001861802,0.001762813,0.00004555148,0.0000204841,0.0000127817,0.09380507],"genre_scores_gemma":[0.9972174,0.0002126096,0.0002900459,0.00003628291,0.0001633769,2.863921e-7,8.738185e-7,0.00002952495,0.002049555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4093393,"threshold_uncertainty_score":0.9998147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347235736280912,"score_gpt":0.2117851634500615,"score_spread":0.1770615898219703,"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."}}