{"id":"W4229732731","doi":"10.1515/iupac.76.0104","title":"Absorption Factor","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; Toxicokinetics; Relation (database); Hazard; Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Biology; Linguistics; Organic chemistry; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007516924,0.000256538,0.0002296461,0.00001606567,0.00003884954,0.00001910115,0.0003031815,0.0002694256,0.04980335],"category_scores_gemma":[0.0001276447,0.0001984913,0.00009489896,0.00007917757,0.00009518473,0.00006908232,0.000199825,0.0002860937,0.00002699693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005821041,"about_ca_system_score_gemma":0.00002776182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004046113,"about_ca_topic_score_gemma":0.0000416968,"domain_scores_codex":[0.9985441,0.000007274748,0.0002116566,0.0003466623,0.0006164263,0.0002738568],"domain_scores_gemma":[0.9993083,0.00002920128,0.00008202063,0.0004204131,0.00001314634,0.000146931],"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":[0.00001538087,0.00004631226,0.000006935024,0.00004040516,0.00001124834,0.00001002173,0.000002217927,0.00001302823,0.007247808,1.57293e-7,0.9907118,0.001894706],"study_design_scores_gemma":[0.0002249119,0.00001812025,0.00003521924,0.00008335232,0.0000168288,0.000005934249,0.000001484856,0.000008958391,0.003399137,0.00003200259,0.9958943,0.0002797896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001796426,0.00004251217,0.000118515,0.00009859884,0.0001908871,0.00006681055,0.9974234,0.00005396792,0.0002088648],"genre_scores_gemma":[0.0003567329,0.0001565872,0.00002404845,0.00006451028,0.0003927441,0.00000557911,0.9983176,0.00001826163,0.0006639127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04977635,"threshold_uncertainty_score":0.9510652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007494284698433042,"score_gpt":0.3242181894387606,"score_spread":0.3167239047403275,"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."}}