{"id":"W4365147341","doi":"10.1515/iupac.94.0219","title":"Abstraction","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Abstraction; Field (mathematics); Computer science; Linguistics; Epistemology; Philosophy; Mathematics; Political science","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":[0.001637113,0.002802791,0.00151406,0.005299476,0.001527539,0.004579592,0.003241566,0.002107668,0.2013551],"category_scores_gemma":[0.01186066,0.0007105383,0.002397585,0.007237501,0.0005581367,0.003689588,0.003653582,0.002805942,0.2906071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021486,"about_ca_system_score_gemma":0.003545695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02627654,"about_ca_topic_score_gemma":0.04619588,"domain_scores_codex":[0.9975933,0.0003870491,0.0003753061,0.0008088496,0.0004707403,0.0003647694],"domain_scores_gemma":[0.9959126,0.0009996096,0.0002775138,0.001327736,0.00121611,0.0002663246],"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":[0.00003310466,0.000008550189,0.00037332,0.0003896587,0.00001110868,0.00001598975,0.00001781647,0.00008298014,0.00006950409,0.0005989134,0.9951789,0.003220039],"study_design_scores_gemma":[0.00006396891,0.000009783463,0.001624817,0.0003515887,0.00001597602,0.00005721234,0.0001031613,0.0002696404,0.0001678229,0.002985056,0.9943253,0.00002564667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009097111,0.0001020779,0.0002371638,0.0001150583,0.0000602112,0.0000344191,0.9961017,0.0007497809,0.002508624],"genre_scores_gemma":[0.0002844429,0.00007688449,0.0005650995,0.0001251865,0.00001382018,0.0001408051,0.997382,0.0001316137,0.001280145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2013551,"threshold_uncertainty_score":0.6735997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665420496191863,"score_gpt":0.4401574557908103,"score_spread":0.4135032508288917,"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."}}