{"id":"W4240874699","doi":"10.1515/iupac.87.0014","title":"Action 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; Management science; Psychology; 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":[0.001012999,0.001656304,0.001379277,0.004344927,0.0008519982,0.003077509,0.002630633,0.001786587,0.175038],"category_scores_gemma":[0.01045722,0.0005491449,0.001849419,0.005507511,0.0003774484,0.002539469,0.002242532,0.00198644,0.1726786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376247,"about_ca_system_score_gemma":0.003107129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01071513,"about_ca_topic_score_gemma":0.02090994,"domain_scores_codex":[0.9986945,0.0001644306,0.0003020582,0.0003951576,0.0003038043,0.0001400735],"domain_scores_gemma":[0.9966223,0.001076226,0.0004215967,0.000706245,0.0009506765,0.0002228445],"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":[0.0002042813,0.00002500463,0.002034034,0.002808917,0.00006671845,0.00006863416,0.00002955924,0.0004042116,0.0001615681,0.00162141,0.9753711,0.01720456],"study_design_scores_gemma":[0.0001259509,0.00001696311,0.002575117,0.0007829869,0.00004048247,0.0001159614,0.00004770856,0.0002284708,0.0002200266,0.003217485,0.9926057,0.00002308122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001394784,0.0002820054,0.0002118787,0.0001077207,0.00005328283,0.0000331705,0.9956255,0.000413897,0.003133157],"genre_scores_gemma":[0.000968612,0.0004370094,0.0009292419,0.0002021188,0.00002878162,0.0001756693,0.9938627,0.000121175,0.00327473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.175038,"threshold_uncertainty_score":0.5855606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420958494630933,"score_gpt":0.3855376384605588,"score_spread":0.3713280535142495,"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."}}