{"id":"W4245285992","doi":"10.1515/iupac.80.0194","title":"Unsaturation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Thermodynamics and Molecular Structure","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminology; Glossary; Confusion; Chemical nomenclature; Solubility; Degree of unsaturation; Nomenclature; Diversity (politics); Order (exchange); Chemistry; Polymer science; Epistemology; Philosophy; Organic chemistry; Sociology; Linguistics; Psychology; Anthropology; Taxonomy (biology); Ecology","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":[0.00007671251,0.0003813683,0.0003910457,0.00005017196,0.00005991945,0.00005158799,0.0003949823,0.0006688438,0.009965112],"category_scores_gemma":[0.00020833,0.0002829656,0.0002002522,0.00006625068,0.00007886431,0.00003101552,0.0001367004,0.0005350113,0.000001128382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003690266,"about_ca_system_score_gemma":0.0002795946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002733546,"about_ca_topic_score_gemma":0.0001078154,"domain_scores_codex":[0.9982293,0.00001131149,0.0003060274,0.000456,0.000695492,0.000301884],"domain_scores_gemma":[0.9985905,0.00003302171,0.0002006666,0.000819552,0.0002233595,0.0001328608],"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":[0.00006719052,0.00003762851,2.619495e-7,0.0001629643,0.00008292137,0.00004252904,0.000001920996,3.755288e-7,0.0190718,0.0000215324,0.9754822,0.005028633],"study_design_scores_gemma":[0.0005122483,0.00001317273,5.764517e-7,0.0002516234,0.0000780812,0.0000177592,0.000003098533,0.00001249984,0.002625672,0.0005632964,0.9955391,0.0003828524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005072835,0.0002769984,0.00009430492,0.0001887644,0.0002776831,0.00005490017,0.9980747,0.00006124142,0.0004640923],"genre_scores_gemma":[0.0001631801,0.000454165,0.00002581536,0.0001372247,0.001024987,0.000006238464,0.9975719,0.00004485003,0.0005716464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02005688,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006044779442788194,"score_gpt":0.3490761862225186,"score_spread":0.3430314067797304,"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."}}