{"id":"W7086620115","doi":"","title":"Urban Migrant Inclusion and Refugee Protection - Volume 1","year":2025,"lang":"en","type":"other","venue":"","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agenția Națională pentru Cercetare și Dezvoltare; Social Sciences and Humanities Research Council of Canada; CHIST-ERA; Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Canada Excellence Research Chairs, Government of Canada; Agencia Nacional de Investigación y Desarrollo","keywords":"Refugee; Solidarity; Inclusion (mineral); Politics; Urban politics; Human rights; Empirical research","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003708906,0.0003803877,0.0003451586,0.0007232712,0.001680511,0.00482664,0.0004555471,0.001003586,0.04074803],"category_scores_gemma":[0.001041027,0.0001245878,0.0002539246,0.001058685,0.001388606,0.002063137,0.0021409,0.001300445,0.004408757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232804,"about_ca_system_score_gemma":0.001526548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002328855,"about_ca_topic_score_gemma":0.006715768,"domain_scores_codex":[0.999728,0.00009814446,0.00001019951,0.00002294237,0.0000930988,0.00004758265],"domain_scores_gemma":[0.9996924,0.0001194271,0.00003023164,0.000018857,0.00005599664,0.0000830133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002738363,0.00006265282,0.0006483336,0.000354075,0.000004949447,0.0001772407,0.0026634,0.000151662,0.00015051,0.133281,0.7583438,0.104135],"study_design_scores_gemma":[0.000001773746,0.0000109824,0.0006262825,0.0002860473,0.000001703376,0.0001040773,0.001584352,0.00002935457,0.00004277269,0.009523028,0.9877859,0.000003585828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004914548,0.08192918,0.0006764627,0.04221499,0.016014,0.00005391305,0.0001725397,0.00008231858,0.853942],"genre_scores_gemma":[0.03186091,0.0368748,0.0005756204,0.005353773,0.005519522,0.00005766971,0.0001811638,0.0000836097,0.919493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04074803,"threshold_uncertainty_score":0.1363158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008147105685225675,"score_gpt":0.2655861813953109,"score_spread":0.2574390757100852,"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."}}