{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008632693,0.001238921,0.001424682,0.004113907,0.0006934114,0.001716505,0.001725185,0.001423494,0.03704911],"category_scores_gemma":[0.007180093,0.0004471679,0.001548577,0.007020609,0.000316503,0.001267982,0.00168221,0.001602582,0.02891831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408388,"about_ca_system_score_gemma":0.002322965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02620993,"about_ca_topic_score_gemma":0.04722869,"domain_scores_codex":[0.9987458,0.0001723561,0.0003463468,0.0003640478,0.0002532432,0.0001181497],"domain_scores_gemma":[0.9964747,0.00088599,0.0007775419,0.000698874,0.0009732381,0.000189585],"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":[0.0003386158,0.00004145534,0.008541042,0.005489907,0.0001768762,0.0001049047,0.00004404367,0.0004026022,0.0002139814,0.0007392914,0.9700618,0.01384534],"study_design_scores_gemma":[0.0003898899,0.00003848813,0.03592175,0.003231647,0.0002031574,0.0003816751,0.0001392495,0.0004394537,0.0004885313,0.001532837,0.9571765,0.00005682722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003051125,0.0002591781,0.00005788253,0.00006883639,0.0000265073,0.00002271718,0.9982158,0.00007936601,0.0009647245],"genre_scores_gemma":[0.0008230815,0.0003309899,0.0002596256,0.0001025101,0.00001376543,0.0001020077,0.9975353,0.00002225863,0.0008105246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03704911,"threshold_uncertainty_score":0.1239417,"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."}}