{"id":"W3157411108","doi":"10.2196/23898","title":"Health Natural Language Processing: Methodology Development and Applications","year":2021,"lang":"en","type":"editorial","venue":"JMIR Medical Informatics","topic":"Topic Modeling","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harbin Institute of Technology; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Scope (computer science); Computer science; Health informatics; Data science; Health care; Natural language; Domain (mathematical analysis); Knowledge management; Natural language processing; Political science","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":[0.05152224,0.001007808,0.0009284808,0.006148952,0.001123425,0.007180399,0.002260355,0.003574956,0.004928227],"category_scores_gemma":[0.09750947,0.0008135251,0.001084867,0.002745284,0.003709733,0.004959969,0.002399662,0.005949997,0.003247374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053644,"about_ca_system_score_gemma":0.005476407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001659981,"about_ca_topic_score_gemma":0.002562931,"domain_scores_codex":[0.9750068,0.01549209,0.002597497,0.001244489,0.005442443,0.000216727],"domain_scores_gemma":[0.8840942,0.08228846,0.002190692,0.003263595,0.02669057,0.001472461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003774836,0.00002883808,0.0001999714,0.002483331,0.0001069976,0.0001440787,0.0005862543,0.0005464296,0.0004739747,0.02397663,0.6922141,0.2792016],"study_design_scores_gemma":[0.00002936089,0.0000222411,0.000321318,0.001565915,0.00005772557,0.0001973351,0.0002119444,0.00276646,0.0005136356,0.04637282,0.9478915,0.00004975482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0007336197,0.1165648,0.2744204,0.3287062,0.2600346,0.0006629977,0.001063369,0.002205955,0.01560811],"genre_scores_gemma":[0.01366976,0.1431051,0.3046712,0.05128669,0.4624004,0.001220614,0.001573151,0.001644572,0.02042841],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.05152224,"threshold_uncertainty_score":0.2724789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536590945122039,"score_gpt":0.377093759670877,"score_spread":0.3417278502196566,"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."}}