{"id":"W4398557798","doi":"10.7910/dvn/bxiy5w/6cprcj","title":"UHN_2017.RData","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Vector Institute; Princess Margaret Cancer Centre","funders":"","keywords":"Pharmacogenomics; Computational biology; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001278671,0.003087239,0.001826583,0.003475399,0.0009489983,0.002891933,0.003674958,0.002676264,0.1520662],"category_scores_gemma":[0.0057866,0.001087006,0.001821127,0.005122567,0.0006302494,0.001823456,0.002948413,0.001889576,0.1474432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943681,"about_ca_system_score_gemma":0.002383865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372523,"about_ca_topic_score_gemma":0.02466627,"domain_scores_codex":[0.9988758,0.0001693767,0.0001161764,0.0003823502,0.0002740954,0.0001821385],"domain_scores_gemma":[0.9983948,0.0004782617,0.0001482121,0.0004741637,0.0003047978,0.0001997502],"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":[0.0001119079,0.00002144648,0.0005025705,0.0009137702,0.00004726731,0.00002186432,0.00001800363,0.0004125745,0.0002012492,0.0005612276,0.9952302,0.001957867],"study_design_scores_gemma":[0.000542234,0.00003400406,0.002134285,0.0002842161,0.00006138357,0.0000669026,0.00004536356,0.0007850265,0.0008985613,0.002103658,0.9930052,0.00003911709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008583519,0.00005673798,0.00007440079,0.00004423725,0.00002242977,0.000008510343,0.9982396,0.0008322391,0.0006359821],"genre_scores_gemma":[0.0003786213,0.00005516787,0.0002577117,0.00005944839,0.000006562987,0.0000447353,0.9985097,0.0001870032,0.0005009705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8479338,"threshold_uncertainty_score":0.5087122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699769519214696,"score_gpt":0.2568984479634782,"score_spread":0.2399007527713312,"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."}}