{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081765,0.00212975,0.001503101,0.004807829,0.0008708813,0.00305973,0.002243464,0.001621633,0.1271864],"category_scores_gemma":[0.01052773,0.0006461571,0.002112143,0.007025477,0.0003435924,0.002951853,0.001906901,0.001814346,0.1592585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501353,"about_ca_system_score_gemma":0.002114347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01757296,"about_ca_topic_score_gemma":0.02747883,"domain_scores_codex":[0.9981964,0.0002271294,0.0003301367,0.0007052491,0.0003755853,0.0001656177],"domain_scores_gemma":[0.9963737,0.001171143,0.0004193125,0.0008453206,0.001011607,0.0001788799],"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":[0.0001353605,0.00003379674,0.002451439,0.001413476,0.00005825631,0.00002678389,0.0000355187,0.0003147577,0.0001877935,0.0008397697,0.9834004,0.01110265],"study_design_scores_gemma":[0.0001127864,0.00002068283,0.005719647,0.0005061371,0.00004812077,0.00007605195,0.00008438237,0.0003317539,0.0003023109,0.001689962,0.9910706,0.00003759255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000176188,0.0001726321,0.0001477948,0.00005884968,0.0000332249,0.00001761456,0.9976473,0.0004147708,0.001331539],"genre_scores_gemma":[0.0005350827,0.0001506565,0.0005590486,0.00007608936,0.00001191092,0.00009550108,0.9971017,0.0001230944,0.001346878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1271864,"threshold_uncertainty_score":0.4254808,"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."}}