{"id":"W4240623483","doi":"10.1093/obo/9780199874002-0108","title":"Homelessness","year":2014,"lang":"en","type":"reference-entry","venue":"Geography","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Social exclusion; Variety (cybernetics); Political science; Sociology; Inequality; Economic growth; Criminology; Development economics; Economics","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":[0.0008384278,0.0003554505,0.0003812974,0.0008404684,0.001804896,0.002670583,0.000949389,0.0012404,0.09968591],"category_scores_gemma":[0.003801694,0.0001499142,0.0004072593,0.0009741343,0.0008759658,0.001659543,0.003021165,0.001695325,0.02469295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249511,"about_ca_system_score_gemma":0.002678362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004696976,"about_ca_topic_score_gemma":0.006944739,"domain_scores_codex":[0.9991651,0.0002225178,0.00005991791,0.0001018373,0.0002452992,0.0002054126],"domain_scores_gemma":[0.999257,0.0001012089,0.00008293141,0.0000678486,0.0002700892,0.0002209685],"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":[0.00003845749,0.00009796817,0.007210351,0.0005900849,0.00003051182,0.0005998313,0.004345428,0.00005580323,0.000155242,0.04903967,0.5516795,0.3861571],"study_design_scores_gemma":[0.00001379643,0.00005248337,0.007429064,0.001022861,0.00001167652,0.0009432671,0.003352113,0.00004983743,0.00005365752,0.0087466,0.9783125,0.00001204674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01861447,0.03037461,0.002431794,0.04494302,0.006728806,0.0005385807,0.004041189,0.0004576969,0.8918698],"genre_scores_gemma":[0.2724988,0.07937643,0.004160747,0.06214551,0.004822893,0.001190387,0.0105341,0.0002723411,0.5649989],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09968591,"threshold_uncertainty_score":0.3334826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861465081947286,"score_gpt":0.3724961343510868,"score_spread":0.333881483531614,"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."}}