{"id":"W4234906150","doi":"10.1515/iupac.79.2118","title":"Thrombocytopenia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.0008839883,0.001240473,0.001809996,0.002683417,0.0004746097,0.001994178,0.001495662,0.001416301,0.07799099],"category_scores_gemma":[0.009617801,0.000410221,0.001784325,0.004072769,0.000190236,0.001149831,0.001001269,0.001508164,0.03860654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009861665,"about_ca_system_score_gemma":0.001804879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006807197,"about_ca_topic_score_gemma":0.01271542,"domain_scores_codex":[0.9988676,0.0001578529,0.0003315815,0.0003432931,0.0002024628,0.00009724986],"domain_scores_gemma":[0.9966927,0.0009757057,0.0007861148,0.0005965296,0.0007427285,0.0002063035],"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":[0.001139245,0.00005742457,0.009189019,0.005353371,0.0003808274,0.0001408539,0.00003068221,0.00033091,0.0002216237,0.0007947003,0.9570203,0.02534106],"study_design_scores_gemma":[0.001832008,0.0001178692,0.03983521,0.003947776,0.000646527,0.001216631,0.00008165543,0.0005712697,0.0006007708,0.002835771,0.948233,0.00008149401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005883663,0.0007032118,0.0001378089,0.0001019177,0.00004756175,0.0000777617,0.9955658,0.0001553565,0.002622255],"genre_scores_gemma":[0.002547692,0.0007541353,0.0004784816,0.0003521198,0.00005957608,0.0003855838,0.9932839,0.00004957297,0.002088965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07799099,"threshold_uncertainty_score":0.2609059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766406039166405,"score_gpt":0.4143850547338954,"score_spread":0.3967209943422313,"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."}}