{"id":"W4229911706","doi":"10.1515/iupac.68.0168","title":"Salt Effects","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Electrolyte and hormonal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Linguistics; Philosophy; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002509957,0.0004636858,0.0008892223,0.0002604146,0.00007745798,0.0000235876,0.0002213861,0.0004614822,0.001601176],"category_scores_gemma":[0.0005422332,0.0003188278,0.0002966994,0.0001806216,0.0001203169,0.00004765191,0.00008087236,0.0006652906,0.00001394398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003334933,"about_ca_system_score_gemma":0.001169107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007622516,"about_ca_topic_score_gemma":0.0002698649,"domain_scores_codex":[0.99738,0.00005147064,0.000363023,0.0004945535,0.001148873,0.0005620997],"domain_scores_gemma":[0.9983039,0.0001395853,0.000153508,0.0007686752,0.0003437113,0.000290605],"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":[0.0007126717,0.0003257326,0.000008222507,0.0006512541,0.00028896,0.0003362125,0.000003537649,3.290033e-8,0.0004397284,0.00001312312,0.9856511,0.01156943],"study_design_scores_gemma":[0.002908566,0.001472048,0.0004396965,0.0009432767,0.000559792,0.00006714361,0.000002908057,7.850995e-7,0.0001793949,0.0002274458,0.9928427,0.0003562424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002744934,0.004445008,0.00004786102,0.001886339,0.000242236,0.000549543,0.9920126,0.00009283485,0.0004491179],"genre_scores_gemma":[0.00006638886,0.004333565,0.00002061736,0.002174773,0.001196619,0.00002328966,0.9907537,0.00006109336,0.00137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01121319,"threshold_uncertainty_score":0.9999264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007758825566876041,"score_gpt":0.390264522418624,"score_spread":0.382505696851748,"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."}}