{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080555,0.001979106,0.001750469,0.002770315,0.0006030092,0.002343449,0.002364741,0.001308023,0.08525094],"category_scores_gemma":[0.006207563,0.0005675393,0.002086896,0.004125929,0.0002965011,0.001838593,0.001549668,0.001578176,0.101065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008699822,"about_ca_system_score_gemma":0.001540676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148127,"about_ca_topic_score_gemma":0.02464616,"domain_scores_codex":[0.9989908,0.0001278514,0.0002440603,0.0003391824,0.0002067471,0.00009132532],"domain_scores_gemma":[0.9978862,0.000534419,0.0003715295,0.0005354052,0.0005302285,0.000142278],"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":[0.0003655481,0.00004198424,0.004724946,0.002504836,0.0001464539,0.0000502873,0.00002598858,0.0003416679,0.0003480342,0.000653132,0.9801594,0.01063774],"study_design_scores_gemma":[0.0004177137,0.00005512245,0.01572591,0.001029946,0.0001858198,0.0002427098,0.00006202792,0.0004299109,0.0006796852,0.002566082,0.9785307,0.00007430797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002510346,0.0002670245,0.0001195584,0.00005804344,0.00005364092,0.00001753745,0.9976342,0.0003698662,0.001229077],"genre_scores_gemma":[0.0007166741,0.000259606,0.0004538799,0.0001428752,0.00001868954,0.00007085141,0.9970787,0.00009039143,0.001168367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08525094,"threshold_uncertainty_score":0.2851928,"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."}}