{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006069399,0.001812822,0.00140978,0.003694313,0.0007805635,0.001961084,0.002510202,0.001650815,0.04789385],"category_scores_gemma":[0.004300176,0.0004889971,0.001760068,0.005098207,0.0003545869,0.002284727,0.001495848,0.001661706,0.05319306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468102,"about_ca_system_score_gemma":0.002194754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256143,"about_ca_topic_score_gemma":0.05250181,"domain_scores_codex":[0.9990908,0.00008074371,0.0001301982,0.0003576656,0.0002282544,0.000112385],"domain_scores_gemma":[0.9986151,0.00030985,0.0002237659,0.0003195507,0.0004460332,0.00008558011],"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":[0.0002341774,0.00004221528,0.005663947,0.002980444,0.0001270705,0.00006688162,0.00005099715,0.0009095671,0.000667349,0.001907962,0.9746128,0.01273666],"study_design_scores_gemma":[0.0001617448,0.00002402532,0.008716514,0.0005035757,0.00006711804,0.0001241774,0.00007906629,0.0008474367,0.000939497,0.002999274,0.9854921,0.00004555671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003026084,0.0001815282,0.0001101877,0.00004903897,0.00002610739,0.00001128877,0.9981489,0.0002527732,0.0009175343],"genre_scores_gemma":[0.0008640538,0.0001563126,0.000442393,0.0000519092,0.000008815079,0.00004045859,0.9977024,0.00004329192,0.0006903582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04789385,"threshold_uncertainty_score":0.1602209,"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."}}