{"id":"W4225748966","doi":"10.5281/zenodo.5795449","title":"Access representation ontology developed for project's cohorts D3.5","year":2021,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"European Commission","keywords":"Ontology; Representation (politics); Computer science; World Wide Web; Information retrieval; Political science; Epistemology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006377981,0.0008787622,0.0007251516,0.004431129,0.0015206,0.003598323,0.001946166,0.001522569,0.01594762],"category_scores_gemma":[0.01062755,0.0007740131,0.002389076,0.003534045,0.0008090213,0.004570025,0.004883853,0.00283537,0.009593976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003040744,"about_ca_system_score_gemma":0.01264394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03936376,"about_ca_topic_score_gemma":0.03377482,"domain_scores_codex":[0.9959736,0.0007338653,0.0006498422,0.0008107249,0.001540541,0.0002914876],"domain_scores_gemma":[0.9955667,0.0009445986,0.0002509431,0.001376467,0.001465639,0.0003957668],"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":[0.0003827058,0.0003091081,0.00947028,0.001700959,0.0002021545,0.0005989646,0.001848414,0.006227472,0.009492951,0.3806224,0.3934929,0.1956517],"study_design_scores_gemma":[0.00003825578,0.00003017276,0.002466976,0.0002435037,0.00005403343,0.0003783352,0.0002749487,0.007700995,0.003508297,0.03332448,0.95193,0.00004992531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006933765,0.0004029007,0.7392498,0.003394293,0.0006209708,0.002012626,0.161886,0.02708306,0.05841651],"genre_scores_gemma":[0.03200667,0.0008095705,0.5505044,0.001415725,0.000118193,0.002579419,0.3810386,0.006125953,0.02540143],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03936376,"threshold_uncertainty_score":0.07826924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1981729363563875,"score_gpt":0.3741895567243367,"score_spread":0.1760166203679492,"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."}}