{"id":"W4365142614","doi":"10.1515/iupac.94.0539","title":"Hückel (4N + 2) Rule","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Field (mathematics); Abandonment (legal); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; 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":[0.001246258,0.002480302,0.001663076,0.002359518,0.001326301,0.003489191,0.003894986,0.00239471,0.1538288],"category_scores_gemma":[0.009365884,0.000784863,0.002582051,0.002550669,0.000534998,0.002767614,0.002002441,0.002756726,0.1789863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273405,"about_ca_system_score_gemma":0.002285907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02381237,"about_ca_topic_score_gemma":0.05493122,"domain_scores_codex":[0.9980093,0.0002499818,0.0001981525,0.0008724632,0.0004165675,0.0002536435],"domain_scores_gemma":[0.9979324,0.0006430498,0.00008274309,0.0008260275,0.0004076589,0.0001080184],"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":[0.000127154,0.00003473599,0.0009367128,0.00040172,0.00003122814,0.00003744276,0.00001169611,0.0006518062,0.0001082036,0.0008908248,0.987794,0.008974425],"study_design_scores_gemma":[0.0004398926,0.00006223367,0.003097607,0.0004378476,0.00005059635,0.000225006,0.0001020473,0.006932067,0.001268486,0.01074425,0.9765733,0.00006661594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008240092,0.0003260928,0.001324449,0.000218125,0.0002709191,0.0001024002,0.9841496,0.006062851,0.006721469],"genre_scores_gemma":[0.001637316,0.000122725,0.002727018,0.0002469639,0.0000273746,0.0001600938,0.9913578,0.0005838335,0.003136984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1538288,"threshold_uncertainty_score":0.5146085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756586978219668,"score_gpt":0.4016680655633303,"score_spread":0.3841021957811336,"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."}}