{"id":"W4248189338","doi":"10.1515/iupac.79.1545","title":"Limacide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Hemoglobinopathies and Related Disorders","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":[0.001347568,0.001553416,0.001614436,0.003655009,0.00070319,0.002845376,0.00266103,0.001599544,0.1401226],"category_scores_gemma":[0.009109241,0.0005539493,0.001629379,0.005562645,0.0003570205,0.001690674,0.002035084,0.001444346,0.1785979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289357,"about_ca_system_score_gemma":0.002680637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254028,"about_ca_topic_score_gemma":0.02877912,"domain_scores_codex":[0.9987481,0.0002902515,0.0001974063,0.0004062075,0.0002236559,0.0001343058],"domain_scores_gemma":[0.9977242,0.0006765454,0.0003141277,0.000516897,0.0005235633,0.0002446083],"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":[0.0001822639,0.00001978195,0.001022754,0.00174101,0.00007173452,0.00002721193,0.00002471284,0.0002144604,0.0001131705,0.0006692106,0.9898885,0.00602536],"study_design_scores_gemma":[0.0002516024,0.00002052574,0.002119413,0.0005111678,0.00004688581,0.00005996278,0.00003591204,0.0001717095,0.0001454784,0.001071617,0.9955449,0.00002075294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009954785,0.000210083,0.00008534314,0.00008272222,0.00003013512,0.00002210417,0.9977379,0.0003706363,0.001361433],"genre_scores_gemma":[0.0003112385,0.0001699173,0.0003106692,0.0001281415,0.00001140332,0.0001136481,0.9978026,0.00009156916,0.001060851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1401226,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062970511668332,"score_gpt":0.3815342874828041,"score_spread":0.3709045823661208,"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."}}