{"id":"W4365142250","doi":"10.1515/iupac.94.0217","title":"a Factor","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":[0.0006288961,0.002251876,0.001038365,0.002654002,0.001283534,0.002624878,0.001672948,0.001316539,0.2037797],"category_scores_gemma":[0.006038285,0.0004200467,0.001684563,0.003699362,0.0003344558,0.002070379,0.001673368,0.001776976,0.2986646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144779,"about_ca_system_score_gemma":0.001789008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0276829,"about_ca_topic_score_gemma":0.05230045,"domain_scores_codex":[0.9989018,0.0001170638,0.0001057941,0.0004839011,0.0002375834,0.0001539314],"domain_scores_gemma":[0.9980358,0.0004030147,0.0001428334,0.0006285855,0.0006242258,0.0001654253],"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":[0.00009215022,0.00002966213,0.001787272,0.0002409134,0.00001956888,0.00001647274,0.00001940845,0.0001067062,0.0001238093,0.0005823107,0.9890738,0.007907829],"study_design_scores_gemma":[0.00009341715,0.00003102663,0.00734752,0.0002082953,0.00002770831,0.00009058689,0.0001287332,0.0004427544,0.0003313945,0.001830199,0.9894382,0.00003019835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004707024,0.0001372862,0.0002204264,0.0001245449,0.0001011921,0.00002883441,0.9937295,0.0007452426,0.004442215],"genre_scores_gemma":[0.001045737,0.00008645051,0.0005069075,0.00009363732,0.00002100868,0.00007032413,0.993854,0.0001040142,0.004217768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2037797,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154884814101994,"score_gpt":0.4392045433654571,"score_spread":0.4076556952244372,"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."}}