{"id":"W2001415027","doi":"10.1177/0193841x06296947","title":"A Repeated Observation Approach for Estimating the Street Homeless Population","year":2007,"lang":"en","type":"article","venue":"Evaluation Review","topic":"Census and Population Estimation","field":"Mathematics","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Downtown; Population; Identification (biology); Estimation; Sampling (signal processing); Statistics; Visibility; Geography; Confidence interval; Econometrics; Demography; Psychology; Computer science; Mathematics; Sociology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007263008,0.0005960509,0.001000695,0.00155137,0.0003697965,0.0005034745,0.002082539,0.0007362335,0.001226451],"category_scores_gemma":[0.02284189,0.0003928845,0.001177476,0.001317608,0.000370444,0.0006442337,0.0005636377,0.000716146,0.0003478342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007506805,"about_ca_system_score_gemma":0.001224823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231664,"about_ca_topic_score_gemma":0.02176289,"domain_scores_codex":[0.992141,0.005667248,0.0003052147,0.001156655,0.0006361192,0.00009377558],"domain_scores_gemma":[0.9918327,0.004528427,0.001375019,0.001502414,0.0006972317,0.00006418402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004000202,0.0005383805,0.2286078,0.001303333,0.004557689,0.0006483051,0.002153777,0.09088725,0.003625563,0.01906741,0.003975366,0.6442352],"study_design_scores_gemma":[0.0002769954,0.002847435,0.2150795,0.0003533899,0.002299721,0.001367756,0.001512164,0.7192534,0.004526606,0.02923222,0.02296717,0.00028378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1001728,0.001615107,0.8942221,0.000253404,0.00009823561,0.0007607089,0.0008252431,0.0003180011,0.001734427],"genre_scores_gemma":[0.5204864,0.001393083,0.4728333,0.0001269338,0.00008313509,0.001684829,0.0008950054,0.0000332967,0.002463917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02231664,"threshold_uncertainty_score":0.04437345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2607821216003572,"score_gpt":0.4468930258543393,"score_spread":0.186110904253982,"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."}}