{"id":"W2785876892","doi":"10.5206/wurjhns.2017-18.16","title":"Western Faculty Profile: Dr. Shannon L. Sibbald","year":2017,"lang":"en","type":"article","venue":"Western Undergraduate Research Journal Health and Natural Sciences","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pulmonary disease; Health care; Medical education; COPD; Family medicine; Medicine; Knowledge translation; Political science; Knowledge management; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001411703,0.0004790522,0.0006902892,0.0009070167,0.003865647,0.002849926,0.000917682,0.00296633,0.203208],"category_scores_gemma":[0.007870605,0.0003675298,0.0002446775,0.0008911216,0.0007254197,0.002520022,0.00259208,0.004044484,0.08505424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228937,"about_ca_system_score_gemma":0.006347015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009201281,"about_ca_topic_score_gemma":0.02209173,"domain_scores_codex":[0.9992336,0.0001005953,0.00004173994,0.0001316014,0.0003603261,0.0001321334],"domain_scores_gemma":[0.9906002,0.0003595722,0.0002362871,0.0001199216,0.003102458,0.005581571],"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":[0.000005109591,0.00001122033,0.0001702165,0.00001283741,5.031417e-7,0.00005563108,0.0001009015,0.000003940561,0.00003821468,0.00009265788,0.9957327,0.003776089],"study_design_scores_gemma":[0.00001132625,0.00003697033,0.001409844,0.00009804279,0.00000295971,0.0004252387,0.001969991,0.00005289694,0.0001053661,0.0002285441,0.9956398,0.00001905627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004929088,0.005481741,0.0007465904,0.8529866,0.05157216,0.0002681785,0.001310568,0.0009667921,0.08173824],"genre_scores_gemma":[0.01894114,0.004636513,0.0004575319,0.323196,0.01494049,0.0002402522,0.0005032078,0.0004319243,0.6366531],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.203208,"threshold_uncertainty_score":0.6797985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1377943538896322,"score_gpt":0.4802748666579694,"score_spread":0.3424805127683371,"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."}}