{"id":"W3155007082","doi":"10.2196/15527","title":"Analysis of Mental Health Disease Trends Using BeGraph Software in Spanish Health Care Centers: Case Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Health care; Medicine; Software; Disease; Data science; Medical emergency; Psychiatry; Computer science; Pathology","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":[0.001229815,0.0003159958,0.0003075662,0.005472767,0.0003023314,0.0006964504,0.0005336666,0.0004684252,0.001911107],"category_scores_gemma":[0.002993885,0.0001586002,0.0005251787,0.003701917,0.0002574867,0.0003475106,0.0007564516,0.0002383309,0.0001798712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147342,"about_ca_system_score_gemma":0.0009676094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05870507,"about_ca_topic_score_gemma":0.05218833,"domain_scores_codex":[0.9995638,0.0001631368,0.00004574018,0.0000850217,0.00007646559,0.00006583956],"domain_scores_gemma":[0.9983907,0.0008282376,0.0002437454,0.0001131713,0.000320818,0.0001033719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002536166,0.0002526999,0.9139181,0.0004940434,0.0001022821,0.004099159,0.004462671,0.00385564,0.001071021,0.0005004138,0.005481024,0.06550925],"study_design_scores_gemma":[0.00009051819,0.0002135093,0.9402266,0.0003640072,0.0001741411,0.002785224,0.01587319,0.02555622,0.00155542,0.0008864918,0.01221088,0.0000637965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881299,0.0005149745,0.00270958,0.0002684315,0.0000107906,0.000148617,0.006028906,0.0001591285,0.002029669],"genre_scores_gemma":[0.9812522,0.0008958919,0.01076645,0.00006414473,0.0000201337,0.0001722805,0.005926848,0.00004084078,0.0008613107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05870507,"threshold_uncertainty_score":0.1167267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236441414897172,"score_gpt":0.3898849340744013,"score_spread":0.3575205199254295,"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."}}