{"id":"W2406086978","doi":"10.3233/978-1-61499-289-9-1207","title":"PHIO: A Knowledge Base for Interpretation and Calculation of Public Health Indicators","year":2013,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Ontology; Public health; Interpretation (philosophy); Data science; Population; Knowledge base; Knowledge management; Population health; Health indicator; Computer science; Environmental health; Medicine; World Wide Web; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004487899,0.001085143,0.001002767,0.01180157,0.001409448,0.005551473,0.002537441,0.001136997,0.005650344],"category_scores_gemma":[0.01891719,0.0005969438,0.001573275,0.009017778,0.0009686249,0.005891387,0.003939413,0.001558351,0.00229455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075278,"about_ca_system_score_gemma":0.008594188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04429479,"about_ca_topic_score_gemma":0.04468752,"domain_scores_codex":[0.9975244,0.0004198108,0.0005603884,0.0004529879,0.0009073485,0.0001349552],"domain_scores_gemma":[0.99265,0.003142148,0.0006499835,0.001551825,0.00171796,0.0002880546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000283883,0.0004994942,0.0159119,0.004557201,0.0005756835,0.002491859,0.003891124,0.03128318,0.008879113,0.1995167,0.1311602,0.6009497],"study_design_scores_gemma":[0.0000912968,0.00006875912,0.00961158,0.002325186,0.0003975531,0.0007316275,0.002309039,0.113755,0.01111935,0.1283872,0.7309919,0.0002114618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01073828,0.0008110206,0.8527805,0.002101895,0.0002526917,0.001794163,0.08086587,0.02216562,0.02849001],"genre_scores_gemma":[0.06580908,0.001835405,0.8338861,0.0006376408,0.00007965955,0.001133881,0.09184945,0.001130235,0.00363846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04429479,"threshold_uncertainty_score":0.08807391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05353176952629964,"score_gpt":0.3778351031326468,"score_spread":0.3243033336063472,"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."}}