{"id":"W2402464105","doi":"","title":"LinkedCT Live: Platform for Online Curation of Clinical Trials Data.","year":2015,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Data curation; Computer science; Clinical trial; World Wide Web; Data science; Linked data; Open data; Web application; Semantic Web; Bioinformatics","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":[0.03133465,0.001961925,0.002479088,0.0149423,0.001635566,0.009044526,0.004324626,0.00370655,0.06003725],"category_scores_gemma":[0.1270587,0.001571553,0.002580059,0.01367669,0.001148761,0.005684516,0.01123513,0.005670378,0.02886474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002703035,"about_ca_system_score_gemma":0.01922228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007254023,"about_ca_topic_score_gemma":0.008976058,"domain_scores_codex":[0.980923,0.008178735,0.003838412,0.001748191,0.004783329,0.0005283545],"domain_scores_gemma":[0.8846125,0.07009467,0.01166932,0.01637514,0.01031918,0.006929167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00160069,0.0002879104,0.002822082,0.01105456,0.001301493,0.0006840312,0.0008422663,0.001974685,0.005668717,0.02608563,0.8234936,0.1241844],"study_design_scores_gemma":[0.00120094,0.0001546049,0.004499731,0.002926812,0.000464588,0.0004496674,0.0001709263,0.004149836,0.005701023,0.04840583,0.9316407,0.000235388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001985432,0.006767475,0.2221369,0.008912984,0.002006268,0.005835381,0.6097886,0.1106614,0.03190561],"genre_scores_gemma":[0.01718936,0.004834955,0.2188265,0.007936846,0.001054034,0.009131003,0.713941,0.01599396,0.01109244],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06003725,"threshold_uncertainty_score":0.2008446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.536467777306551,"score_gpt":0.5289484315586915,"score_spread":0.007519345747859507,"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."}}