{"id":"W4365147120","doi":"10.1515/iupac.94.0807","title":"Resonance Hybrid","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); Computer science; Epistemology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009744588,0.003958736,0.001962818,0.003015009,0.00170035,0.003062636,0.005236583,0.002963385,0.08907931],"category_scores_gemma":[0.003915407,0.000740897,0.002391152,0.00324975,0.0005684193,0.002721767,0.003173965,0.002907917,0.2285523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478998,"about_ca_system_score_gemma":0.001578672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256935,"about_ca_topic_score_gemma":0.06367166,"domain_scores_codex":[0.9987093,0.0002161472,0.0001012859,0.0004908466,0.0002819306,0.0002005032],"domain_scores_gemma":[0.9987624,0.0002402858,0.00006582047,0.0005517059,0.0002687928,0.0001109659],"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":[0.0001207882,0.00004371976,0.0004169664,0.0004392127,0.000041842,0.0000340855,0.00001849926,0.0004671397,0.0002179472,0.0006317474,0.9906425,0.00692547],"study_design_scores_gemma":[0.0002594441,0.00005943633,0.002427758,0.00031017,0.00004700926,0.0002383219,0.0001188449,0.002529903,0.001209463,0.004937773,0.9877921,0.00006976333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006183482,0.0004512002,0.0007357423,0.0002034605,0.0001620442,0.00004875765,0.9876068,0.005397086,0.004776608],"genre_scores_gemma":[0.0006084417,0.0001062604,0.0009503094,0.0001250243,0.00001519457,0.00008078496,0.9960955,0.0002015152,0.00181702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08907931,"threshold_uncertainty_score":0.298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227668141392554,"score_gpt":0.4142715941403639,"score_spread":0.3915047800011084,"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."}}