{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002667084,0.0001212177,0.0001509584,0.0002760339,0.0003365523,0.0004276375,0.00012583,0.0002911204,0.001769385],"category_scores_gemma":[0.0004695079,0.00009946941,0.0001650626,0.0002930539,0.0002712335,0.0002096839,0.0004518289,0.0002726725,0.0003805314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077184,"about_ca_system_score_gemma":0.0001426935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009784633,"about_ca_topic_score_gemma":0.01830629,"domain_scores_codex":[0.9998922,0.00004361969,0.000004938619,0.00001292851,0.00001384757,0.00003251116],"domain_scores_gemma":[0.9998329,0.00002214471,0.00006844378,0.000009923807,0.00001200563,0.00005458604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001621936,0.0002247518,0.9871766,0.000021058,0.00002865662,0.0002069129,0.003542976,0.0001559153,0.0006819213,0.0001969532,0.0005257216,0.007076372],"study_design_scores_gemma":[0.000004750778,0.0001273191,0.9947467,0.00001134629,0.000006730968,0.00009253973,0.004266149,0.0002495792,0.00003597305,0.00004250984,0.0004111448,0.000005215743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996921,0.00002531054,0.0000110385,0.0000357285,0.000001607122,0.000001590765,0.00003291143,3.406711e-7,0.0001994739],"genre_scores_gemma":[0.9993027,0.00008632257,0.00004530415,0.00004008022,0.000005308346,0.000004069422,0.00009567539,5.449007e-7,0.0004199222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009784633,"threshold_uncertainty_score":0.01945537,"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."}}