{"id":"W4236741405","doi":"10.1515/iupac.81.0756","title":"Reconstituted Water","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Computer science; Ecology; Risk assessment; Biology; Data mining; Philosophy; 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":[0.00140173,0.002167841,0.001554224,0.00368351,0.001097917,0.003062583,0.003439195,0.002337864,0.08655099],"category_scores_gemma":[0.006832226,0.0007138763,0.001413645,0.005673835,0.0006568779,0.003080252,0.002742806,0.002302197,0.151535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851458,"about_ca_system_score_gemma":0.002571512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01762954,"about_ca_topic_score_gemma":0.03390545,"domain_scores_codex":[0.997891,0.0003127625,0.0002638088,0.0007166423,0.0005865887,0.000229219],"domain_scores_gemma":[0.9972155,0.0006235202,0.0003594382,0.0007789906,0.0008419291,0.0001805576],"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":[0.0001808907,0.00006274906,0.002053042,0.001617078,0.00004437645,0.00004639609,0.00003809137,0.000444687,0.0003686537,0.001112655,0.9810464,0.01298503],"study_design_scores_gemma":[0.0001414181,0.00002689376,0.003369542,0.0003866522,0.00002469567,0.00008844485,0.0001052451,0.0005066139,0.0008089504,0.001930256,0.9925781,0.00003327352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003340823,0.0001823001,0.0002027941,0.00009973411,0.00005108042,0.00002996841,0.9966948,0.0005879598,0.001817261],"genre_scores_gemma":[0.0005750749,0.0001259524,0.0005434341,0.00007755183,0.000006973278,0.00006883547,0.997346,0.0000675241,0.001188484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08655099,"threshold_uncertainty_score":0.2895419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404846647450799,"score_gpt":0.3739060840047961,"score_spread":0.3598576175302882,"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."}}