{"id":"W4233112298","doi":"10.1515/iupac.79.1849","title":"Preneoplastic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Toxicology; Chemistry; Biology; Philosophy; Linguistics","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":[0.001674482,0.001963754,0.001649724,0.00471319,0.001064626,0.00433942,0.00306756,0.002477298,0.1862063],"category_scores_gemma":[0.0191265,0.0008215155,0.002601694,0.006301975,0.0005717191,0.003901697,0.002505515,0.002496566,0.135903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542171,"about_ca_system_score_gemma":0.004736207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043039,"about_ca_topic_score_gemma":0.02667974,"domain_scores_codex":[0.9975201,0.0003710349,0.0004903077,0.0008950516,0.0004581084,0.0002653795],"domain_scores_gemma":[0.9930651,0.002861155,0.0007916048,0.001740044,0.001214341,0.0003276047],"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":[0.0002019272,0.00002273369,0.002551162,0.003065025,0.0001027291,0.00008411911,0.00003228799,0.0003451595,0.0001258479,0.001338901,0.9815708,0.01055943],"study_design_scores_gemma":[0.0002096111,0.00001916409,0.002654004,0.001099186,0.00007852235,0.0002079948,0.00005951125,0.0002219973,0.0002234642,0.003666927,0.9915314,0.00002829191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001725592,0.0003240139,0.0002171158,0.000166033,0.00007748063,0.00003665105,0.9959448,0.0004803822,0.002580928],"genre_scores_gemma":[0.001043347,0.0004208032,0.0009400384,0.0004223878,0.00003647353,0.0002204878,0.9946679,0.0002436008,0.002004985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1862063,"threshold_uncertainty_score":0.6229221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004748441607859181,"score_gpt":0.3116900307618805,"score_spread":0.3069415891540213,"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."}}