{"id":"W4252873661","doi":"10.1515/iupac.79.1396","title":"Hemosiderin","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","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","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":[0.0009654136,0.00171317,0.001571569,0.003368736,0.0006803309,0.002082595,0.001992826,0.001472556,0.06813549],"category_scores_gemma":[0.005408554,0.000500504,0.001488303,0.005038154,0.0003054814,0.001192793,0.0013329,0.001482015,0.07976855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191464,"about_ca_system_score_gemma":0.002169412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243601,"about_ca_topic_score_gemma":0.02535774,"domain_scores_codex":[0.9989414,0.0001662049,0.0001781952,0.0003756135,0.0002381992,0.0001005145],"domain_scores_gemma":[0.998072,0.0005531288,0.0003148233,0.0004302841,0.0004758987,0.0001537763],"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":[0.0002905753,0.00004582113,0.002254995,0.002855884,0.0001163835,0.00004657467,0.00002579772,0.0004177502,0.0004361176,0.000599207,0.9821402,0.01077067],"study_design_scores_gemma":[0.0003413284,0.00004116752,0.007637115,0.0007275303,0.0001177248,0.0001319576,0.00004712099,0.0003447291,0.0006357835,0.00104106,0.988898,0.00003654009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001778937,0.0002148261,0.00006557962,0.00003722178,0.00001828287,0.00001597203,0.9986207,0.0001524237,0.000696991],"genre_scores_gemma":[0.00037379,0.0001519456,0.0002455317,0.00005625218,0.000006134561,0.0000699243,0.9984123,0.00003072012,0.0006534148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06813549,"threshold_uncertainty_score":0.2279359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078020791877857,"score_gpt":0.3631062974918885,"score_spread":0.35232608957311,"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."}}