{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006221015,0.0002069796,0.0001448908,0.0001170475,0.001601435,0.0004677532,0.001704337,0.0002111903,0.0006972996],"category_scores_gemma":[0.001926469,0.0001635803,0.0001091177,0.0003694077,0.0005350244,0.000003248322,0.002148277,0.0003497179,0.02465471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000030432,"about_ca_system_score_gemma":0.00001495719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003951953,"about_ca_topic_score_gemma":0.00001482789,"domain_scores_codex":[0.9982609,0.0003115606,0.0002299163,0.0005206523,0.0002605153,0.0004164597],"domain_scores_gemma":[0.9984353,0.0000330937,0.0001065384,0.0008962527,0.0002913672,0.0002374656],"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":[0.00006136794,0.00006095372,2.795245e-7,0.00006926096,0.00007132856,0.00001220233,0.00001451841,0.000001450654,0.0002047935,0.0000271638,0.971463,0.02801363],"study_design_scores_gemma":[0.0002148008,0.0001849035,0.0001302005,0.00004056177,0.00003122003,0.00001693955,0.00005396616,0.000004675679,0.00004159292,0.00005014512,0.9990307,0.0002002919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002159265,0.001816186,0.0001765593,0.0008155483,0.0008465352,0.0003510411,0.9928614,0.000344401,0.00257237],"genre_scores_gemma":[0.0004085345,0.001464909,0.00001901879,0.0001005051,0.000519318,5.94395e-8,0.9946584,0.0007285381,0.002100703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02781334,"threshold_uncertainty_score":0.9996983,"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."}}