{"id":"W2524084843","doi":"","title":"Study of Hospital Community Awareness through Patient Informatics","year":2006,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Scope (computer science); Service (business); Health informatics; Medical prescription; Informatics; Medicine; Function (biology); Business; Nursing; Medical emergency; Knowledge management; Computer science; Marketing; Public health; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001527919,0.000113983,0.000307141,0.00005349123,0.0005566511,0.00001000225,0.0004349028,0.00007283496,0.00003680996],"category_scores_gemma":[0.0001300094,0.00007111391,0.00004330192,0.0001138406,0.0001065104,0.0001642952,0.0002598546,0.001304051,0.00000555131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000673141,"about_ca_system_score_gemma":0.00007658342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02634758,"about_ca_topic_score_gemma":0.003211853,"domain_scores_codex":[0.9965665,0.001525072,0.001384889,0.00003367888,0.0002831129,0.0002067816],"domain_scores_gemma":[0.9965797,0.001357404,0.001238442,0.0002874279,0.0005024289,0.00003456275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001607851,0.0006822429,0.4247128,0.0001728555,0.00005499025,0.000003296511,0.5649972,0.000288614,0.00001112035,0.0007339887,0.003598535,0.004583601],"study_design_scores_gemma":[0.0005241709,0.004444275,0.05626903,0.001352369,0.00008769711,0.0000271964,0.9293941,0.000748225,0.0003983407,0.005009634,0.00157669,0.0001682889],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964161,0.0002076856,0.0006415277,0.0004039741,0.0006102213,0.0003185904,0.000003257494,0.00001006274,0.001388612],"genre_scores_gemma":[0.9993155,0.00005457977,0.00008554163,0.0003796176,0.0001071972,0.000003892434,0.000001108995,0.00001084702,0.00004168888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3684437,"threshold_uncertainty_score":0.980136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171486102618236,"score_gpt":0.424434933636376,"score_spread":0.3072863233745524,"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."}}