{"id":"W4246267514","doi":"10.1515/iupac.81.0239","title":"Derived Characteristic","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; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; 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":[0.001323416,0.002234756,0.001373283,0.004537269,0.001201906,0.003504321,0.003026055,0.002401198,0.09668154],"category_scores_gemma":[0.01141085,0.0005984754,0.001635007,0.006679775,0.0005828864,0.003030681,0.002557002,0.002692687,0.1816231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435304,"about_ca_system_score_gemma":0.003311623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01964521,"about_ca_topic_score_gemma":0.03816731,"domain_scores_codex":[0.9975628,0.0003192687,0.0003115322,0.0008616516,0.0006247832,0.0003199716],"domain_scores_gemma":[0.9952088,0.001175205,0.0003460197,0.001372524,0.00158028,0.0003171677],"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":[0.00009879744,0.000031454,0.002589929,0.0005984045,0.00002835641,0.00003605631,0.00002557795,0.0003765842,0.0001350337,0.001081052,0.9887551,0.006243682],"study_design_scores_gemma":[0.0001168983,0.00001954591,0.004048937,0.0003189249,0.00002095513,0.0001201245,0.0001182592,0.0007144796,0.0003678496,0.002471526,0.9916537,0.00002874527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002464778,0.0001097142,0.0001692053,0.000105926,0.00004392679,0.00002278529,0.9969907,0.0004379293,0.001873264],"genre_scores_gemma":[0.0004828791,0.00006753436,0.0004485424,0.00007109131,0.000008435738,0.00006702881,0.9979563,0.00005824052,0.0008399751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09668154,"threshold_uncertainty_score":0.323432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328731374928994,"score_gpt":0.3762611200537547,"score_spread":0.3629738063044648,"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."}}