{"id":"W4365147588","doi":"10.1515/iupac.94.0380","title":"Crown Ether","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); Epistemology; Computer science; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007226401,0.002111979,0.001984579,0.003533395,0.001289279,0.004227669,0.002682122,0.001885748,0.370413],"category_scores_gemma":[0.004306551,0.0007696772,0.001482824,0.006514082,0.0005288213,0.003817398,0.002988319,0.002277991,0.5727306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369938,"about_ca_system_score_gemma":0.001838082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205461,"about_ca_topic_score_gemma":0.02608576,"domain_scores_codex":[0.9987364,0.0001884884,0.0001415246,0.0004159639,0.0003303431,0.0001871866],"domain_scores_gemma":[0.9987423,0.0002536382,0.0001349099,0.000461099,0.0002893693,0.0001187882],"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":[0.000051353,0.00001448497,0.0001835642,0.0006746621,0.00001477016,0.00002276289,0.00001418521,0.0001163261,0.0002479969,0.0007295008,0.9899073,0.008023105],"study_design_scores_gemma":[0.00003257947,0.00000749934,0.0006907363,0.0001695388,0.000007733396,0.00004893538,0.00002678941,0.0001253408,0.0002128717,0.001463436,0.9971982,0.00001630557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001683902,0.0004054712,0.0003239853,0.0001395333,0.000109378,0.00003331702,0.9874542,0.001413643,0.009952187],"genre_scores_gemma":[0.0003597451,0.000329984,0.000445852,0.0001698285,0.00001751797,0.0000674667,0.9939633,0.0002805564,0.004365716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.370413,"threshold_uncertainty_score":0.8980294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742091140979447,"score_gpt":0.434888022067384,"score_spread":0.4074671106575895,"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."}}