{"id":"W4256559654","doi":"10.1515/iupac.73.0254","title":"Epa","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000986386,0.001628939,0.001392633,0.00443673,0.000954522,0.003420325,0.002134058,0.001683518,0.1606802],"category_scores_gemma":[0.008579403,0.0006177877,0.001369017,0.008889481,0.0003779864,0.002488241,0.002475719,0.001699298,0.2382938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450831,"about_ca_system_score_gemma":0.003215677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846266,"about_ca_topic_score_gemma":0.02894446,"domain_scores_codex":[0.9982362,0.000267829,0.0002386618,0.0006092337,0.0004239026,0.0002241127],"domain_scores_gemma":[0.9969554,0.0005940527,0.0003317652,0.0007491697,0.00113745,0.0002320527],"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":[0.0001093918,0.00001638063,0.001599377,0.001184764,0.00004378725,0.00002514433,0.00002945136,0.0001930509,0.0001358827,0.001400566,0.9872468,0.008015519],"study_design_scores_gemma":[0.00006548869,0.000009363726,0.002230973,0.0004873141,0.00002300657,0.00004286608,0.00004643972,0.0001143746,0.0001716914,0.001248807,0.9955454,0.00001441239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007756473,0.0001043995,0.00009563726,0.00006637019,0.00002728444,0.000009547454,0.9976535,0.0002521536,0.001713551],"genre_scores_gemma":[0.0002819423,0.000134782,0.0002300543,0.00008219807,0.000008841196,0.00004113231,0.9978776,0.00007156676,0.001271899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8393198,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671143374100375,"score_gpt":0.4298442450175735,"score_spread":0.4131328112765698,"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."}}