{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004424707,0.0005051644,0.0005930661,0.0001386067,0.0001593662,0.000115444,0.0008330003,0.0009120867,0.003792939],"category_scores_gemma":[0.00164178,0.0005198268,0.0002395459,0.0003079897,0.0001284897,0.00006872969,0.000408922,0.001743346,0.00008228245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098769,"about_ca_system_score_gemma":0.001219666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000849636,"about_ca_topic_score_gemma":0.001183673,"domain_scores_codex":[0.9960294,0.00002761006,0.0005214778,0.0007493722,0.001968179,0.000703923],"domain_scores_gemma":[0.9972728,0.0001281863,0.0002620801,0.001539182,0.0004969247,0.0003007851],"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":[0.00007685088,0.0001490058,0.000005793241,0.001011596,0.0001867418,0.0003134675,0.000005943908,0.000001516127,0.002651515,0.000001179866,0.9945008,0.001095594],"study_design_scores_gemma":[0.0005394195,0.00002714755,0.000004183626,0.0002881166,0.00009512563,0.00003527204,0.00004688766,0.00001712655,0.002311896,0.000109178,0.996047,0.0004786987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003686022,0.000195509,0.000002600253,0.0004020019,0.0003751854,0.00009769571,0.9973323,0.0003772096,0.0008488462],"genre_scores_gemma":[0.00000708563,0.001178748,0.00001807209,0.00004667384,0.002229991,0.00003452454,0.9832014,0.0001047234,0.01317881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01413098,"threshold_uncertainty_score":0.9997253,"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."}}