{"id":"W4365148038","doi":"10.1515/iupac.94.0629","title":"Lifetime","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; Abandonment (legal); Meaning (existential); Field (mathematics); Computer science; Epistemology; Linguistics; 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":[0.0009664789,0.002202384,0.001284177,0.003661422,0.001382992,0.003457052,0.002532735,0.00193624,0.1711473],"category_scores_gemma":[0.006783446,0.0007108221,0.001462538,0.005719664,0.0004034762,0.003838975,0.002702499,0.00232577,0.2999668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600349,"about_ca_system_score_gemma":0.002215047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02877855,"about_ca_topic_score_gemma":0.05404681,"domain_scores_codex":[0.9987961,0.0001820064,0.0001520416,0.0004555013,0.0002449823,0.0001692395],"domain_scores_gemma":[0.9975002,0.0006072632,0.0002250917,0.0008147265,0.000655267,0.0001973474],"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":[0.00003578181,0.000008287067,0.0003948295,0.0003102492,0.00001130157,0.00001224287,0.00001665773,0.00008836755,0.00006269169,0.0004922802,0.9957184,0.00284895],"study_design_scores_gemma":[0.00004869408,0.000008072314,0.001668763,0.0002097567,0.00001202948,0.00004880547,0.00005773627,0.0001528017,0.0001442319,0.001453163,0.9961751,0.00002095273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006645078,0.0000848273,0.00008074871,0.00007473771,0.00003092418,0.000007605723,0.9977501,0.0004354519,0.001469054],"genre_scores_gemma":[0.0001926419,0.00006889839,0.0002312499,0.00008649323,0.000008615252,0.00003749347,0.9982368,0.0001029005,0.001034867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1711473,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127552904640496,"score_gpt":0.4188130631742612,"score_spread":0.3975375341278563,"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."}}