{"id":"W7010188816","doi":"","title":"Homelessness and EU Citizenship in a Borderless Europe","year":2023,"lang":"en","type":"article","venue":"Issue Lab (Candid)","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Member states; Quarter (Canadian coin); Free movement; Population; European union; Social citizenship","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":[0.0009232739,0.000120673,0.000286025,0.001346249,0.001966222,0.003358096,0.0004192507,0.001000144,0.00369728],"category_scores_gemma":[0.002586453,0.00009720286,0.0002044371,0.001794521,0.002705256,0.001981009,0.004211069,0.00140939,0.0001826626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009017783,"about_ca_system_score_gemma":0.0007880774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038185,"about_ca_topic_score_gemma":0.01278369,"domain_scores_codex":[0.9991002,0.0003625265,0.00007281172,0.00009115894,0.0001032695,0.0002700553],"domain_scores_gemma":[0.9984125,0.0001524297,0.0005263418,0.00004968567,0.00009960926,0.0007594542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003071144,0.0006053275,0.8714253,0.0002149517,0.0001742682,0.003921279,0.04655162,0.0001548885,0.000381534,0.0263348,0.009564616,0.0403642],"study_design_scores_gemma":[0.00002546473,0.0002304724,0.877083,0.0006397856,0.00004739546,0.001754736,0.09624533,0.0001568215,0.00007616914,0.00316365,0.02054866,0.00002846284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772313,0.004265123,0.00006541982,0.007649268,0.0001425134,0.000009909209,0.0001200926,0.000005592945,0.01051086],"genre_scores_gemma":[0.997951,0.001006333,0.00001890734,0.0005545551,0.00004547369,0.000003126495,0.00005104432,0.000001905969,0.0003677747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038185,"threshold_uncertainty_score":0.02064282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04648166063217338,"score_gpt":0.3905788566792349,"score_spread":0.3440971960470615,"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."}}