{"id":"W4251480958","doi":"10.1515/iupac.87.0288","title":"Hemangioma","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); 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":[],"consensus_categories":[],"category_scores_codex":[0.0004834229,0.0006469628,0.0009830418,0.002968141,0.0004829038,0.001570594,0.001057827,0.0009456893,0.05964859],"category_scores_gemma":[0.006680879,0.0002851727,0.001050251,0.003765473,0.0002086076,0.001288502,0.0009489328,0.001081402,0.0316287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007110223,"about_ca_system_score_gemma":0.001367571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006318956,"about_ca_topic_score_gemma":0.01304166,"domain_scores_codex":[0.9994325,0.00005811685,0.0001517611,0.0001817844,0.00009500666,0.00008079452],"domain_scores_gemma":[0.9976885,0.0007346282,0.0004520665,0.0004910237,0.0004686241,0.000165142],"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":[0.0005353878,0.00003486538,0.01019605,0.004141949,0.0001779229,0.000277232,0.00002987643,0.0003789631,0.0002147819,0.00081601,0.9467829,0.03641411],"study_design_scores_gemma":[0.0006553954,0.00005453941,0.03792049,0.004875928,0.0003159193,0.002764418,0.0001520018,0.0008499078,0.0008325095,0.004203976,0.9473089,0.00006605843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001221616,0.0008668249,0.0002003526,0.0001394393,0.00006349521,0.00007269959,0.9927527,0.0002577062,0.004425133],"genre_scores_gemma":[0.004728819,0.00091683,0.0007141798,0.0002838268,0.00004456495,0.000253855,0.9908435,0.00006857116,0.0021458],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05964859,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746531825920229,"score_gpt":0.3461822478139736,"score_spread":0.3287169295547713,"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."}}