{"id":"W1966212893","doi":"10.1002/pmic.201090034","title":"Implementing Data Standards: A report on the HUPOPSI Workshop September 2009, Toronto, Canada","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112228,0.000129944,0.0001095522,0.000005086496,0.0001825994,0.00004090845,0.0005573571,0.0001349957,0.0001897543],"category_scores_gemma":[0.001229518,0.00008752254,0.00003043915,0.00003415706,0.00008533915,0.000003259286,0.0004917282,0.0002331976,0.000001946101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003601671,"about_ca_system_score_gemma":0.0006765724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03239498,"about_ca_topic_score_gemma":0.7536714,"domain_scores_codex":[0.9987371,0.00003386128,0.0002228448,0.00038056,0.0002685092,0.0003570984],"domain_scores_gemma":[0.9985526,0.00003641362,0.0001165978,0.001140191,0.00008099529,0.0000732274],"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":[0.0001106796,0.0000609071,0.005381619,0.00002296464,0.000163157,0.000076245,0.00005704545,0.000003015173,0.1110261,0.0002148961,0.8222557,0.06062765],"study_design_scores_gemma":[0.0001483547,0.00003545811,0.0003037992,0.000009545943,0.000009190152,0.00005434445,0.0001973044,0.00007896852,0.02529452,0.00003538998,0.9736945,0.0001386089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766634,0.0005808169,0.002615656,0.003409205,0.0009657263,0.0005932912,0.0006761719,0.00003930459,0.01445646],"genre_scores_gemma":[0.9729959,0.00008029662,0.01822048,0.001906508,0.001249282,0.0001029666,0.0008076051,0.00004849263,0.004588405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7212765,"threshold_uncertainty_score":0.9740484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461406732161878,"score_gpt":0.3128680090074131,"score_spread":0.2882539416857943,"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."}}