{"id":"W4241937478","doi":"10.1515/iupac.87.0360","title":"Membrane Potential","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Management science; Chemistry; Linguistics; Engineering; Philosophy; Data mining; Organic chemistry","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":[0.0007326287,0.001628885,0.001471766,0.003727994,0.000751634,0.002820776,0.002137349,0.00171843,0.1052047],"category_scores_gemma":[0.007033282,0.0005187812,0.001540996,0.005317249,0.0002846297,0.001970504,0.001787761,0.001656608,0.1264911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293808,"about_ca_system_score_gemma":0.001958809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057184,"about_ca_topic_score_gemma":0.01989781,"domain_scores_codex":[0.9990776,0.00009415729,0.0001954976,0.0003014223,0.0002286409,0.0001027689],"domain_scores_gemma":[0.9975775,0.0006233443,0.0003832154,0.0005259995,0.0007337944,0.000156262],"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":[0.0003451899,0.00003745861,0.004372028,0.003649081,0.0001005689,0.0000774056,0.00003553308,0.000621525,0.0004495233,0.001293374,0.9695719,0.01944643],"study_design_scores_gemma":[0.0001981772,0.00002999602,0.008063675,0.0007868636,0.00005995301,0.0001737114,0.00005803707,0.0004474269,0.0006109952,0.002960753,0.9865719,0.00003846492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002522958,0.0002961216,0.000149146,0.00007469852,0.00004332357,0.00001869514,0.9967344,0.000416332,0.002014979],"genre_scores_gemma":[0.001153587,0.000347608,0.0005732169,0.000109497,0.00001822914,0.0001001679,0.9954628,0.00008924188,0.002145677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1052047,"threshold_uncertainty_score":0.3519446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00850994463760689,"score_gpt":0.3515052660476688,"score_spread":0.3429953214100619,"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."}}