{"id":"W4234532117","doi":"10.1515/iupac.87.0309","title":"Hyperreflexia","year":2016,"lang":"de","type":"dataset","venue":"IUPAC Standards Online","topic":"Cardiovascular Issues in Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Psychology; Computer science; Chemistry; Linguistics; Philosophy; Organic chemistry; 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":[0.0007232013,0.001087534,0.001001508,0.002775032,0.0004858273,0.001699111,0.001159854,0.0009586068,0.06823734],"category_scores_gemma":[0.009210179,0.0003356945,0.001494723,0.003316225,0.0002653945,0.001140542,0.00117382,0.001238246,0.04171704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007873414,"about_ca_system_score_gemma":0.001092127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006196689,"about_ca_topic_score_gemma":0.01455612,"domain_scores_codex":[0.9987661,0.0001716197,0.0004508998,0.0003082753,0.0001837556,0.0001194494],"domain_scores_gemma":[0.9962547,0.001160609,0.001030413,0.000627989,0.0007363181,0.0001899659],"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":[0.0008900558,0.00006498697,0.02097065,0.006076201,0.0002590031,0.000166239,0.00006713856,0.000335957,0.0003063081,0.0008448174,0.9392334,0.0307853],"study_design_scores_gemma":[0.0007445082,0.0001119882,0.08395345,0.003752494,0.0003230268,0.001041442,0.0002085801,0.0005304014,0.0007340471,0.00282067,0.9056726,0.0001067477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001221833,0.0005774905,0.0001759996,0.0001335523,0.0000754561,0.00008851232,0.9936271,0.0002744606,0.003825611],"genre_scores_gemma":[0.005467917,0.000865682,0.0007234514,0.0003564199,0.00006429845,0.0004297283,0.9889914,0.00008438123,0.003016704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06823734,"threshold_uncertainty_score":0.2282766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854818895566064,"score_gpt":0.4170957276575301,"score_spread":0.3985475387018694,"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."}}