{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006553465,0.002555825,0.001603742,0.003673598,0.0008604258,0.003944865,0.002228029,0.001328159,0.1272855],"category_scores_gemma":[0.005812898,0.0006447136,0.002205263,0.005304146,0.0003346663,0.002515961,0.001663913,0.002473535,0.1643555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595857,"about_ca_system_score_gemma":0.002203862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01183516,"about_ca_topic_score_gemma":0.02110209,"domain_scores_codex":[0.9987771,0.0001390637,0.000197749,0.000480129,0.0002821303,0.000123759],"domain_scores_gemma":[0.9983974,0.0004087559,0.000172918,0.0005002499,0.0004139771,0.000106673],"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":[0.0001150691,0.00002280528,0.00148651,0.001259303,0.00005266157,0.00002319461,0.00002173927,0.000457982,0.0001747194,0.001284864,0.9844139,0.01068738],"study_design_scores_gemma":[0.0001158837,0.0000185893,0.003808857,0.0003969448,0.00004200561,0.0001272759,0.00004746519,0.0004271293,0.0003816258,0.00296315,0.9916419,0.00002917477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003044928,0.0005123165,0.0002249047,0.0001119723,0.00009883757,0.00002348926,0.9947693,0.0006225091,0.003332101],"genre_scores_gemma":[0.0009703704,0.00040435,0.0005589477,0.000120594,0.00002682579,0.00008859839,0.9956068,0.0001433746,0.002080205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1272855,"threshold_uncertainty_score":0.4258124,"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."}}