{"id":"W4249285328","doi":"10.1515/iupac.88.0910","title":"Hydrops","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Parvovirus B19 Infection Studies","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); Computer science; 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":[0.0007597072,0.001106797,0.001031977,0.003204259,0.0006212051,0.001680315,0.001671804,0.001020997,0.1080768],"category_scores_gemma":[0.006746661,0.0004068769,0.001301281,0.004501887,0.0002743105,0.001423221,0.001679467,0.001118439,0.07155546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097546,"about_ca_system_score_gemma":0.001902961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01670358,"about_ca_topic_score_gemma":0.03069819,"domain_scores_codex":[0.9990343,0.0001628517,0.0002292423,0.000282281,0.0001989695,0.00009232913],"domain_scores_gemma":[0.9976301,0.0007395477,0.0004498817,0.0004336851,0.0006005131,0.0001462496],"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":[0.0002369917,0.00002496552,0.004942597,0.00407449,0.00009607327,0.00007883539,0.00006220687,0.0003436889,0.0001931017,0.001602576,0.9659669,0.02237765],"study_design_scores_gemma":[0.0001024533,0.00001496083,0.007810776,0.001184472,0.00004414461,0.0001306268,0.00008913527,0.0001440066,0.0001719557,0.001200614,0.9890853,0.00002147009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002882869,0.0002835539,0.0001417475,0.00008474753,0.00003799235,0.00002740396,0.9963176,0.0002274581,0.002591157],"genre_scores_gemma":[0.001438711,0.0004992564,0.0006896696,0.0002059623,0.00002249384,0.0001595134,0.9943185,0.00009608942,0.002569857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1080768,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440416491291628,"score_gpt":0.4978025163103438,"score_spread":0.4633983513974276,"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."}}