{"id":"W4365149325","doi":"10.1515/iupac.94.0490","title":"Fragmentation","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; Fragmentation (computing); Abandonment (legal); Meaning (existential); Epistemology; Computer science; Chemistry; Linguistics; Philosophy; Political science; Programming language","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":[0.001501237,0.003291998,0.001650485,0.004882497,0.001554775,0.004003247,0.004067346,0.002185613,0.1717835],"category_scores_gemma":[0.007133438,0.0007466897,0.002167119,0.006008677,0.0005822029,0.003261111,0.003227087,0.002723265,0.3101523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177592,"about_ca_system_score_gemma":0.002386146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158624,"about_ca_topic_score_gemma":0.04501045,"domain_scores_codex":[0.9981371,0.000303488,0.0002310462,0.0006874417,0.0003818307,0.0002590838],"domain_scores_gemma":[0.9972147,0.0005949032,0.0002258904,0.0009953381,0.0007704697,0.0001986848],"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":[0.00005582554,0.00001609435,0.0004217208,0.0003960193,0.00001661526,0.00001770832,0.0000198939,0.0001187058,0.0001086121,0.0005301646,0.9943633,0.003935336],"study_design_scores_gemma":[0.0001183705,0.00001907881,0.002257607,0.000305906,0.00002026379,0.00008746943,0.00008961256,0.0003571187,0.0003307427,0.002701281,0.9936782,0.000034318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001429647,0.0001203647,0.0001931218,0.00009582275,0.00004979931,0.00002795916,0.9962376,0.001075505,0.002056754],"genre_scores_gemma":[0.0001755037,0.0000527716,0.0003647543,0.00006960518,0.000007715985,0.00007300295,0.9982396,0.0001196319,0.0008973893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1717835,"threshold_uncertainty_score":0.5746731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472080991622265,"score_gpt":0.4423535099728263,"score_spread":0.4176327000566036,"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."}}