{"id":"W4393701562","doi":"10.5281/zenodo.5517235","title":"The Nova Scotia Disease Knowledge Graph","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Nova scotia; Nova (rocket); Graph; Geography; Computer science; Engineering; Archaeology; Theoretical computer science; Aeronautics","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":[0.0004180932,0.0008352543,0.0004856729,0.004297321,0.001013439,0.001091652,0.0012391,0.0009369624,0.01413335],"category_scores_gemma":[0.002569237,0.0003228259,0.0005972232,0.005736985,0.0004446365,0.0004604955,0.001208869,0.0009677588,0.006852093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004112629,"about_ca_system_score_gemma":0.005068027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4589241,"about_ca_topic_score_gemma":0.6103371,"domain_scores_codex":[0.9995721,0.00005528348,0.00003444395,0.000144052,0.0001168705,0.00007725845],"domain_scores_gemma":[0.9989809,0.0002619911,0.0000857754,0.0002115815,0.0002712475,0.0001884394],"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":[0.0002318235,0.00007682703,0.01033277,0.00102886,0.00009844411,0.0007403665,0.0001908078,0.002792572,0.001126231,0.004090162,0.9630391,0.01625207],"study_design_scores_gemma":[0.0001380244,0.00002652678,0.03786877,0.0004198036,0.00008232561,0.00060967,0.0002953524,0.002871495,0.001147347,0.002949958,0.953557,0.00003372086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005980934,0.0004542916,0.0004441585,0.0004256324,0.00003917476,0.00005463248,0.9866285,0.0004178201,0.00555489],"genre_scores_gemma":[0.009003881,0.0002748251,0.001221222,0.0001168159,0.000007456905,0.00005697978,0.9870401,0.00003631914,0.002242489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5410759,"threshold_uncertainty_score":0.9125057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394137044001122,"score_gpt":0.2897344116835551,"score_spread":0.2503207072834429,"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."}}