{"id":"W4231863925","doi":"10.1515/iupac.79.1680","title":"Neoplasia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; 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":[0.001257305,0.00179822,0.001425062,0.003064573,0.0009421536,0.00339752,0.002766056,0.001869682,0.1685961],"category_scores_gemma":[0.01015651,0.0005002436,0.001841681,0.004752829,0.0003303416,0.002281403,0.001938892,0.001638015,0.2102717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525661,"about_ca_system_score_gemma":0.002684959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382874,"about_ca_topic_score_gemma":0.02592249,"domain_scores_codex":[0.9980443,0.00030706,0.0002854751,0.0007335457,0.0004157407,0.0002140525],"domain_scores_gemma":[0.9964948,0.0008956845,0.0003296979,0.0009750893,0.001038876,0.0002659562],"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":[0.0001187067,0.00002013076,0.001385993,0.0008016462,0.00003742453,0.00002116205,0.00001775518,0.000163628,0.00008350585,0.0007214851,0.9884908,0.008137696],"study_design_scores_gemma":[0.0001470574,0.00001934074,0.002927645,0.0004685483,0.00003761514,0.00007575833,0.00006202634,0.0002319439,0.0001942056,0.001591166,0.9942229,0.0000216761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001417341,0.0001756921,0.0001220458,0.0001359328,0.00006348564,0.00002581388,0.9965545,0.0003956811,0.002385217],"genre_scores_gemma":[0.0004176452,0.0001368361,0.000385541,0.0002010001,0.00001789802,0.00009611639,0.9967911,0.00007382104,0.001880087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1685961,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130103513027501,"score_gpt":0.3805065460056005,"score_spread":0.3692055108753254,"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."}}