{"id":"W4238141007","doi":"10.1515/iupac.79.1210","title":"Endotoxin","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; 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":[0.001702286,0.001764789,0.00142344,0.00346066,0.0009912334,0.0035147,0.002730603,0.001831757,0.1882628],"category_scores_gemma":[0.0138558,0.0005502137,0.001870061,0.005458695,0.000362733,0.002480254,0.002041342,0.001775816,0.2290411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637282,"about_ca_system_score_gemma":0.003035974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01508944,"about_ca_topic_score_gemma":0.02632324,"domain_scores_codex":[0.9974138,0.0004345099,0.0004127621,0.0009249745,0.0005367284,0.0002773419],"domain_scores_gemma":[0.9947431,0.00131902,0.0004889035,0.001411462,0.001693592,0.000343925],"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":[0.0001258209,0.00002085753,0.001464888,0.0006946878,0.00003716588,0.00001814221,0.00001701584,0.0001488841,0.0000617703,0.0006783945,0.9896564,0.007075932],"study_design_scores_gemma":[0.0001822124,0.0000219194,0.003331456,0.0004880645,0.00003873392,0.00006633076,0.00007546096,0.0002263789,0.0001782292,0.001758609,0.9936086,0.00002409486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001273463,0.0001097784,0.0001199075,0.0001120513,0.00004844494,0.00002893262,0.9972722,0.0003158217,0.001865508],"genre_scores_gemma":[0.0003997633,0.00009352004,0.0003490121,0.0001724165,0.00001592464,0.0001282498,0.9971911,0.00007608218,0.001573943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1882628,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005576768772486568,"score_gpt":0.3219413663731477,"score_spread":0.3163645976006612,"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."}}