{"id":"W4237046478","doi":"10.1515/iupac.68.0194","title":"Volume of Activation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Volume (thermodynamics); Linguistics; Philosophy; Thermodynamics; Mathematics; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003170545,0.0001927554,0.0005640556,0.0001642303,0.00002231415,0.000005852832,0.000189745,0.000481644,0.0117157],"category_scores_gemma":[0.001770431,0.000119259,0.0001514003,0.0002162256,0.0003170242,0.0000287408,0.0001203546,0.0005371807,0.000004934729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412111,"about_ca_system_score_gemma":0.00095353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000502154,"about_ca_topic_score_gemma":0.000007056057,"domain_scores_codex":[0.9972482,0.0000262416,0.0003870538,0.0002811852,0.001769204,0.0002880934],"domain_scores_gemma":[0.9983139,0.00009576836,0.0001460154,0.0004946064,0.0006632224,0.0002865039],"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":[0.000464508,0.0003600361,0.00002339703,0.0006914659,0.00009023565,0.00001352167,0.00000195847,4.201734e-9,0.002097404,0.000002033295,0.9866772,0.009578177],"study_design_scores_gemma":[0.001247472,0.0003578989,0.0001232813,0.001221047,0.0000786834,0.000005725359,0.000006088442,0.000002642,0.002710911,0.00007150579,0.9940532,0.0001215064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004227098,0.0001240426,0.000145451,0.004922736,0.00008762268,0.0001962758,0.993979,0.00001991733,0.0001022626],"genre_scores_gemma":[0.0001229893,0.0005230578,0.00003707775,0.0002374642,0.0007458407,0.000006659011,0.9958423,0.00001760152,0.002466987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01171077,"threshold_uncertainty_score":0.9891877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164573371384431,"score_gpt":0.4516227192774339,"score_spread":0.4299769855635896,"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."}}