{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003616946,0.0001588222,0.0002542982,0.003834592,0.001122872,0.00253082,0.0005102421,0.0005335659,0.005036644],"category_scores_gemma":[0.01722285,0.0001609317,0.0002780742,0.002391318,0.0006823861,0.002090472,0.001749213,0.0007991365,0.0003458447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638999,"about_ca_system_score_gemma":0.002321291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004741967,"about_ca_topic_score_gemma":0.003700484,"domain_scores_codex":[0.9972573,0.001693686,0.0001193357,0.0001426572,0.0004309443,0.0003560483],"domain_scores_gemma":[0.9850427,0.00929777,0.001909113,0.0005551239,0.001740008,0.001455254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002449134,0.002588511,0.805019,0.0001852742,0.00006319473,0.000204706,0.05355938,0.0001765378,0.0002661262,0.004154899,0.001801908,0.1317355],"study_design_scores_gemma":[0.00005988228,0.001226017,0.7958319,0.0001660859,0.0001252014,0.0004101589,0.1855314,0.002353251,0.0007595614,0.002899412,0.01058652,0.00005057264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790635,0.000169727,0.0007793009,0.0006224827,0.00001319948,0.0001521627,0.0001530958,0.00002913146,0.01901738],"genre_scores_gemma":[0.9984477,0.00009400778,0.0003559083,0.00009395697,0.000007950382,0.00005256588,0.00007245532,0.000003074036,0.0008723584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005036644,"threshold_uncertainty_score":0.01912844,"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."}}