{"id":"W4254932911","doi":"10.1515/iupac.88.0884","title":"Hepatosplenomegaly","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Philosophy of biology; Computer science; Epistemology; Linguistics; Philosophy; Data mining","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":[0.0009795658,0.0009783226,0.001576412,0.003102588,0.000434766,0.00158249,0.0009637783,0.0007206825,0.06321218],"category_scores_gemma":[0.008491271,0.0003904173,0.001148161,0.005552444,0.0002560997,0.001369753,0.001115441,0.001492495,0.0333436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009584338,"about_ca_system_score_gemma":0.001421245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006358622,"about_ca_topic_score_gemma":0.0121105,"domain_scores_codex":[0.9989286,0.0001726718,0.0003717229,0.0002442747,0.0001819999,0.0001007574],"domain_scores_gemma":[0.9957838,0.001151492,0.001073561,0.0008015028,0.000920078,0.0002695764],"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":[0.0005295343,0.00002423914,0.009163644,0.0034015,0.0001957245,0.0001463878,0.00003206403,0.0002510395,0.0002198725,0.0008920834,0.9651515,0.01999227],"study_design_scores_gemma":[0.0007341934,0.00006656543,0.05546989,0.004516996,0.0001967904,0.001280573,0.0001370657,0.0003878307,0.0004835684,0.003121219,0.9335132,0.00009208939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006003053,0.0007142095,0.0001802718,0.000145536,0.00005298623,0.00007855421,0.9950073,0.0002043712,0.003016431],"genre_scores_gemma":[0.002602797,0.0008169173,0.0004572564,0.0002540541,0.00004199493,0.0002520873,0.994087,0.00006614711,0.001421628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06321218,"threshold_uncertainty_score":0.2114658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937460871616288,"score_gpt":0.4356440828262089,"score_spread":0.416269474110046,"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."}}