{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002206756,0.0001161761,0.0006737186,0.00004949066,0.002498168,0.00001085099,0.0002535073,0.0001612474,0.00001324858],"category_scores_gemma":[0.000586473,0.00005945933,0.0002281991,0.00009732926,0.0001461407,0.00008921745,0.00003344762,0.0005104778,3.748126e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001888891,"about_ca_system_score_gemma":0.00194387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216838,"about_ca_topic_score_gemma":0.01950371,"domain_scores_codex":[0.9975731,0.0004495783,0.0009755368,0.00009669566,0.0003467065,0.0005583732],"domain_scores_gemma":[0.994191,0.004008716,0.0008479266,0.0001482401,0.000635249,0.0001688526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008086825,0.0006225298,0.09115276,0.008207416,0.001765504,0.00001562088,0.3888767,0.00007137631,0.00002890057,0.07056236,0.04262511,0.3879849],"study_design_scores_gemma":[0.006480798,0.002405715,0.02426196,0.0006438974,0.000162083,0.00001191591,0.4801322,0.0006245992,0.00001902809,0.003632878,0.4813882,0.0002368288],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348798,0.02632684,0.007169826,0.02829815,0.001572991,0.001642063,0.00006765332,0.00001438427,0.00002830446],"genre_scores_gemma":[0.9870323,0.01143213,0.0001370805,0.0006637866,0.0004448323,0.00005263649,0.000006326428,0.00002332731,0.0002075893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.438763,"threshold_uncertainty_score":0.9988005,"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."}}