{"id":"W7018772587","doi":"","title":"Estimates of the Number of Emergency Shelters in the Feeding America Network and the Number of Emergency Shelter Clients in a Year","year":2010,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency response; Work (physics); Quarter (Canadian coin); Consumption (sociology); Food supply; Estimation; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003242391,0.0007532451,0.001736805,0.0001885572,0.000131356,0.00002667139,0.001632645,0.0005284882,0.004272967],"category_scores_gemma":[0.0009699621,0.0004189422,0.0005096997,0.002206383,0.0008370585,0.0001617332,0.0006468621,0.00147155,0.0002009857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347835,"about_ca_system_score_gemma":0.0003121291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01545783,"about_ca_topic_score_gemma":0.002898834,"domain_scores_codex":[0.9934567,0.0006547482,0.002402421,0.0007374249,0.001875311,0.0008733562],"domain_scores_gemma":[0.9948369,0.0003915929,0.002568091,0.001643463,0.0004688456,0.0000911554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002879682,0.0002625255,0.9307455,0.0005670121,0.0003078159,0.00001023332,0.006554259,0.0001133115,0.0002773119,0.0002082369,0.06001879,0.0006470587],"study_design_scores_gemma":[0.005485612,0.0001201418,0.7922903,0.003881598,0.00168508,0.0001387788,0.003727808,0.0007510824,0.0003702577,0.007072342,0.1825797,0.001897267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937829,0.002329615,0.000007555708,0.0003921074,0.005320561,0.002447661,0.000571584,0.00004586615,0.09510216],"genre_scores_gemma":[0.9906829,0.005499673,0.0004253736,0.00004010247,0.0008070246,0.0001984954,0.00007066289,0.0003058455,0.001969899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1384551,"threshold_uncertainty_score":0.9998263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260219956703436,"score_gpt":0.335701189180709,"score_spread":0.3130989896136747,"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."}}