{"id":"W2154077175","doi":"10.1353/hpu.0.0090","title":"The Use Of Electronic Medical Records For Homeless Outreach","year":2008,"lang":"en","type":"article","venue":"Journal of Health Care for the Poor and Underserved","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Outreach; Medical record; Family medicine; Medicine; Political science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007015937,0.0001935107,0.0001807333,0.003666822,0.0007320372,0.001585449,0.0007878097,0.0005453533,0.002723413],"category_scores_gemma":[0.06849373,0.0002215361,0.0001579279,0.002220128,0.0005596925,0.002078031,0.001331108,0.0004588934,0.000305871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000723657,"about_ca_system_score_gemma":0.001694993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004496224,"about_ca_topic_score_gemma":0.007778641,"domain_scores_codex":[0.9900852,0.006314556,0.001028286,0.0003881585,0.001811131,0.0003727306],"domain_scores_gemma":[0.9395256,0.0306931,0.02178789,0.002839134,0.004002392,0.001151876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002743621,0.0002792712,0.6505203,0.0009396714,0.00006402309,0.0004724234,0.008555895,0.0001650191,0.0008448747,0.0003466532,0.003375619,0.3341619],"study_design_scores_gemma":[0.00006339882,0.0007210133,0.9473029,0.002345434,0.0001438528,0.003023653,0.02310074,0.001006654,0.002526731,0.0003249291,0.01937187,0.00006874635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831777,0.003498283,0.00143164,0.00405648,0.00007206579,0.0002957581,0.00113913,0.0001591373,0.006169693],"genre_scores_gemma":[0.9942665,0.001637822,0.00263054,0.0004461443,0.00005683161,0.0000705195,0.0003663879,0.000009432679,0.0005159428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007015937,"threshold_uncertainty_score":0.03710431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553348900661851,"score_gpt":0.4252364184382331,"score_spread":0.2699015283720479,"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."}}