{"id":"W4365149529","doi":"10.1515/iupac.94.0233","title":"Allotropes","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); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003820533,0.000585552,0.0007085053,0.0001262687,0.0001564072,0.0001647304,0.001292387,0.0007966004,0.009901095],"category_scores_gemma":[0.00178098,0.0005662596,0.0002736447,0.0002802567,0.0001903999,0.00005576454,0.0006729806,0.001711738,0.0001145414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007441986,"about_ca_system_score_gemma":0.001320298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006816543,"about_ca_topic_score_gemma":0.001261568,"domain_scores_codex":[0.9956243,0.00002839074,0.0005451653,0.0007873913,0.002163864,0.0008509],"domain_scores_gemma":[0.9971567,0.0001515805,0.0002176572,0.001621612,0.0005013673,0.0003511247],"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":[0.00006592996,0.0001680419,0.000005946505,0.001224611,0.0002357224,0.0005790758,0.000005566536,0.000004672747,0.0006016761,0.000001754808,0.9963238,0.0007832384],"study_design_scores_gemma":[0.0005995031,0.00002736943,0.00000208554,0.0003435049,0.00009353585,0.00002594341,0.00003247429,0.00001709465,0.001024397,0.00008725465,0.9971964,0.0005504247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001530029,0.0003802785,0.000003500407,0.0005585425,0.0002795135,0.00009027881,0.9973645,0.000391444,0.0007789525],"genre_scores_gemma":[0.000002772527,0.00168871,0.00003608332,0.00007904902,0.002009646,0.00003305525,0.978688,0.0001221918,0.01734052],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01867651,"threshold_uncertainty_score":0.9996789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521304915316701,"score_gpt":0.4281542951021371,"score_spread":0.4029412459489701,"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."}}