{"id":"W4254914098","doi":"10.1515/iupac.87.0064","title":"Arborization","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; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Organic chemistry; Data mining","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":[0.001291059,0.002217994,0.001588562,0.006329744,0.001188693,0.004417242,0.00327707,0.001893852,0.1182674],"category_scores_gemma":[0.01256447,0.0008462129,0.002196338,0.009529032,0.000603876,0.003732532,0.003116362,0.00245345,0.1564675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887602,"about_ca_system_score_gemma":0.003833215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01600629,"about_ca_topic_score_gemma":0.03377,"domain_scores_codex":[0.9975253,0.0003638548,0.000550637,0.0008301832,0.0004436183,0.0002863623],"domain_scores_gemma":[0.9957924,0.001281518,0.0003609512,0.001081997,0.001194004,0.0002891785],"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":[0.0001052226,0.00001915454,0.001687597,0.001830508,0.00005049992,0.00004591703,0.00004841482,0.0003668148,0.0001783326,0.001779365,0.9848164,0.009071894],"study_design_scores_gemma":[0.00008323802,0.00001077908,0.001767381,0.00042028,0.00002200707,0.0000653055,0.00007489239,0.0003264365,0.0002120394,0.00236866,0.9946312,0.00001776701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001668938,0.0001567396,0.0002492675,0.0001078344,0.00003995121,0.00003554242,0.9956435,0.001199408,0.002400896],"genre_scores_gemma":[0.000468766,0.0002003074,0.0009570599,0.0001052322,0.0000121377,0.0001382517,0.9968216,0.0002242887,0.001072362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1182674,"threshold_uncertainty_score":0.3956438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009731735715373599,"score_gpt":0.3670509795052907,"score_spread":0.3573192437899171,"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."}}