{"id":"W4232580872","doi":"10.1515/iupac.87.0145","title":"Ciguatera Poisoning","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Ciguatera; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008408422,0.000358662,0.0004020254,0.00009164787,0.0001571671,0.00006251335,0.0004215592,0.0002578111,0.1117387],"category_scores_gemma":[0.0003413278,0.000257739,0.0001456354,0.0002028375,0.000163335,0.0001187269,0.0005329291,0.0003977006,0.00004356571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005222111,"about_ca_system_score_gemma":0.00006997394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008291532,"about_ca_topic_score_gemma":0.001172954,"domain_scores_codex":[0.9975175,0.0001442741,0.000381338,0.0005663075,0.0009727141,0.0004179056],"domain_scores_gemma":[0.9987324,0.00007909091,0.0002107133,0.0007521059,0.00003132008,0.0001943294],"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":[0.00004315061,0.00005296199,0.0000697822,0.00001636955,0.00001585145,0.00002908263,0.000004180916,0.000007351385,0.0000448122,8.822302e-7,0.9554482,0.04426738],"study_design_scores_gemma":[0.0003802639,0.000130694,0.0002052861,0.0000625133,0.00003239444,0.00002192387,0.000004626015,0.00001607103,0.00006211048,0.0001638209,0.9985517,0.0003686547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002245331,0.00004444427,0.001410035,0.0002555639,0.0007276533,0.0001595076,0.9954574,0.00007189863,0.001648966],"genre_scores_gemma":[0.00001310925,0.0002235863,0.001107341,0.0004289461,0.0005634142,0.00001311092,0.9933856,0.00003377636,0.004231086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1116951,"threshold_uncertainty_score":0.9999875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273034764023457,"score_gpt":0.3988220638324644,"score_spread":0.3860917161922298,"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."}}