{"id":"W4365147730","doi":"10.1515/iupac.94.0270","title":"Baldwin’S Rules","year":2023,"lang":"de","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":[0.003548277,0.002283879,0.001792737,0.005925303,0.002358671,0.008140833,0.005144699,0.002740175,0.1151093],"category_scores_gemma":[0.03575929,0.001224739,0.003084302,0.007297014,0.001169651,0.006044087,0.003506831,0.004529305,0.1357405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173067,"about_ca_system_score_gemma":0.005641125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02865544,"about_ca_topic_score_gemma":0.04987362,"domain_scores_codex":[0.9939446,0.0008498508,0.0009542276,0.001969963,0.001745614,0.0005358531],"domain_scores_gemma":[0.9908565,0.003288701,0.0002763734,0.003606479,0.001667519,0.0003044302],"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":[0.0001198746,0.00005287339,0.001255554,0.0004384894,0.00004086417,0.00005964886,0.00006209295,0.00136759,0.0001191438,0.01313938,0.9357169,0.04762759],"study_design_scores_gemma":[0.000132618,0.00002005519,0.001155241,0.0004427696,0.0000335056,0.0001626226,0.00009471284,0.005179497,0.0005785865,0.03766244,0.9544842,0.00005380008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002677355,0.002517395,0.02573024,0.002167025,0.001317841,0.0009378169,0.8389495,0.02094891,0.104754],"genre_scores_gemma":[0.01020708,0.00119185,0.03270891,0.001151288,0.0001398573,0.0009510987,0.9252015,0.003231328,0.02521705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1151093,"threshold_uncertainty_score":0.385079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477996963514984,"score_gpt":0.4219530156903178,"score_spread":0.397173046055168,"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."}}