{"id":"W4237424990","doi":"10.1515/iupac.87.0501","title":"Palpitation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Psychology; Computer science; Chemistry; Linguistics; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002481685,0.001492911,0.001554428,0.005161425,0.0008889976,0.004330891,0.002689664,0.002008812,0.3586712],"category_scores_gemma":[0.02754521,0.0006087869,0.001509158,0.007869172,0.0006593179,0.003362386,0.003509927,0.001784121,0.3518037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824743,"about_ca_system_score_gemma":0.002758042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006457827,"about_ca_topic_score_gemma":0.01234079,"domain_scores_codex":[0.9960619,0.0007850903,0.0008159935,0.001078216,0.0008513428,0.0004074199],"domain_scores_gemma":[0.9882486,0.004292446,0.001093115,0.002602396,0.003111008,0.0006524794],"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":[0.00007357142,0.000009445428,0.0005174323,0.0007782869,0.00001159034,0.00001956679,0.00001891087,0.00004994226,0.00004468499,0.0004692207,0.9926013,0.005406044],"study_design_scores_gemma":[0.00009362105,0.00001107347,0.001049104,0.0004256085,0.000009115708,0.00005400583,0.00005565929,0.0001014684,0.0001126925,0.0009140672,0.9971615,0.00001208279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001720001,0.0002298797,0.0002275023,0.0003265144,0.0001937887,0.00008538294,0.991363,0.0009574563,0.006444471],"genre_scores_gemma":[0.0008618127,0.0002687159,0.0007860159,0.000708679,0.0001063587,0.0004578035,0.9888685,0.0004721122,0.007469946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6413288,"threshold_uncertainty_score":0.9147778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785272551444647,"score_gpt":0.3526393293571872,"score_spread":0.3347866038427408,"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."}}