{"id":"W4405988742","doi":"10.5206/ijoh.2023.3.16467","title":"An Assessment of Measuring Local Levels of Homelessness Through Proxy Social Media Signals","year":2025,"lang":"en","type":"article","venue":"International Journal on Homelessness","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proxy (statistics); Odds; Social media; Per capita; Population; Politics; Microdata (statistics); Demographic economics; Psychology; Demography; Political science; Sociology; Medicine; Computer science; Census; Logistic regression; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001380658,0.0003575222,0.0002672595,0.002697668,0.0003213265,0.001337611,0.0005768607,0.0005305212,0.001396698],"category_scores_gemma":[0.008972678,0.0002007307,0.0002306136,0.002590544,0.0004135626,0.001583738,0.001321883,0.0004198366,0.0005231056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003871429,"about_ca_system_score_gemma":0.0002623083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008094814,"about_ca_topic_score_gemma":0.01342766,"domain_scores_codex":[0.9991137,0.0003592128,0.00009309317,0.0001851006,0.0001781175,0.0000707373],"domain_scores_gemma":[0.9932679,0.002658866,0.002275708,0.0005972824,0.0008917518,0.0003085797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009255834,0.00009787332,0.9784702,0.0001397617,0.00009947226,0.00009379679,0.0007037121,0.002368623,0.001855561,0.0007629477,0.001320184,0.01399542],"study_design_scores_gemma":[0.00001578433,0.0002327682,0.954091,0.00008132662,0.00007612821,0.0002129156,0.004655014,0.03408233,0.002055338,0.0009244764,0.003542033,0.00003102972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978448,0.0002113885,0.007938742,0.0004202569,0.00002229731,0.000122823,0.007264012,0.0001886043,0.005383951],"genre_scores_gemma":[0.993519,0.00008841934,0.003207028,0.00006304226,0.00002339191,0.00008536852,0.00259118,0.000008816972,0.000413672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008094814,"threshold_uncertainty_score":0.0160954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09224381068559401,"score_gpt":0.4745436237507476,"score_spread":0.3822998130651536,"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."}}