{"id":"W4232335965","doi":"10.1515/iupac.88.0567","title":"Cardiac Jelly","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Dermatologic Treatments and Research","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":[0.001030945,0.001176243,0.001374869,0.003421258,0.0006775687,0.002836646,0.001655351,0.001275882,0.1978075],"category_scores_gemma":[0.01018863,0.0004730918,0.001414988,0.005510732,0.000442929,0.002266616,0.001898224,0.001612152,0.1617089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009638082,"about_ca_system_score_gemma":0.001956336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007656294,"about_ca_topic_score_gemma":0.01370848,"domain_scores_codex":[0.9986153,0.000247941,0.0003533995,0.0003983574,0.0002805684,0.0001044163],"domain_scores_gemma":[0.9960487,0.001373519,0.0007485112,0.0007217379,0.0008930881,0.0002144044],"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":[0.0002687715,0.00002295775,0.001904957,0.003866335,0.000065827,0.00006355946,0.00002948199,0.0001553513,0.0002027974,0.0009083532,0.9681925,0.02431912],"study_design_scores_gemma":[0.0001187868,0.00001941938,0.004313325,0.001251879,0.00003609131,0.0001858455,0.00004927921,0.00009270293,0.0001428335,0.001315006,0.9924541,0.00002074674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000317165,0.001001278,0.000264618,0.0002268874,0.0001227681,0.00007065418,0.9916044,0.0003988117,0.005993387],"genre_scores_gemma":[0.001573417,0.001357099,0.00103621,0.0005984817,0.00006888289,0.0002269489,0.9896517,0.0001823422,0.005304905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1978075,"threshold_uncertainty_score":0.6617321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159800370642007,"score_gpt":0.5006398166561993,"score_spread":0.4690418129497792,"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."}}