{"id":"W4365149450","doi":"10.1515/iupac.94.0540","title":"Huisgen Reaction","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; Management science; Linguistics; Epistemology; Philosophy; Engineering; 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":[0.001155403,0.002377869,0.001935107,0.002709081,0.001136736,0.004267657,0.00252651,0.001752161,0.1722919],"category_scores_gemma":[0.004225598,0.0008179807,0.001654913,0.004334993,0.0004601489,0.002776617,0.002285451,0.002704687,0.3377459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262395,"about_ca_system_score_gemma":0.002025275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319018,"about_ca_topic_score_gemma":0.02456282,"domain_scores_codex":[0.9985982,0.0002203352,0.0001231421,0.0005702255,0.0003258744,0.000162423],"domain_scores_gemma":[0.9989902,0.0002274776,0.00009117637,0.0004249785,0.0001813719,0.00008474293],"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":[0.0001287708,0.00002097076,0.0004971377,0.0006908072,0.00003278131,0.00002376375,0.00002021903,0.0002882084,0.0002589684,0.001469025,0.9878871,0.008682233],"study_design_scores_gemma":[0.00009664497,0.00001677774,0.001368619,0.0002475914,0.00002265671,0.00005425103,0.00004287878,0.0004853156,0.0005575213,0.003016937,0.9940653,0.00002561538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003592611,0.0004827108,0.0004777987,0.00013965,0.0001022982,0.00003518339,0.9889209,0.002055896,0.007426224],"genre_scores_gemma":[0.0005026534,0.0002577888,0.0007078536,0.00009492398,0.00001205945,0.00008591851,0.9950483,0.0003155605,0.00297495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1722919,"threshold_uncertainty_score":0.576374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752419784744537,"score_gpt":0.4333478438671677,"score_spread":0.4058236460197224,"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."}}