{"id":"W2996617694","doi":"10.2196/13498","title":"Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques","year":2019,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ontology; Mental health; Semantic Web; Semantic network; Knowledge representation and reasoning; Representation (politics); Mental representation; Semantics (computer 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":[0.01326508,0.0007764564,0.000775999,0.00643522,0.001207404,0.005730095,0.00227435,0.001534506,0.002154908],"category_scores_gemma":[0.02755519,0.0005063376,0.00253824,0.00561072,0.001489938,0.007375492,0.005806343,0.002025733,0.0005934227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004113778,"about_ca_system_score_gemma":0.007473136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127719,"about_ca_topic_score_gemma":0.02124644,"domain_scores_codex":[0.9893966,0.003972675,0.002071191,0.0009333251,0.003284818,0.0003414135],"domain_scores_gemma":[0.9865682,0.006935957,0.001266785,0.0024526,0.002285451,0.0004909759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005703712,0.001330565,0.0119046,0.004695802,0.0008151958,0.001406139,0.004258911,0.04353218,0.009243968,0.3935586,0.03515407,0.4935296],"study_design_scores_gemma":[0.000245976,0.0002722704,0.008945532,0.003466065,0.0007438786,0.001092979,0.003611112,0.3102536,0.01455852,0.3330023,0.3235748,0.0002329998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01471172,0.001189798,0.9486014,0.003673776,0.0001455494,0.002787933,0.01017476,0.005764404,0.01295065],"genre_scores_gemma":[0.09718738,0.001458046,0.8801834,0.0006130437,0.00003959416,0.00183054,0.01706711,0.000272147,0.001348807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02127719,"threshold_uncertainty_score":0.07015324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03929296848855788,"score_gpt":0.4402923995142207,"score_spread":0.4009994310256628,"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."}}