{"id":"W4229523500","doi":"10.1515/iupac.80.0117","title":"Kuenen Coefficient","year":2016,"lang":"fr","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Thermodynamics and Molecular Structure","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminology; Glossary; Confusion; Chemical nomenclature; Solubility; Diversity (politics); Order (exchange); Nomenclature; Chemistry; Philosophy; Sociology; Organic chemistry; Linguistics; Psychology; Taxonomy (biology); Anthropology; Ecology; Business","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002866111,0.001047209,0.001098682,0.00009854936,0.0001946831,0.0001279296,0.001134347,0.001484725,0.02288101],"category_scores_gemma":[0.0005753139,0.000861669,0.0006248509,0.0002153478,0.0005196811,0.00004436401,0.0006614607,0.001227298,0.00001443527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564958,"about_ca_system_score_gemma":0.001000802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008058942,"about_ca_topic_score_gemma":0.0001694036,"domain_scores_codex":[0.995165,0.00006641357,0.0008475735,0.00121402,0.001638876,0.001068101],"domain_scores_gemma":[0.9962713,0.0001337085,0.0004695775,0.001882356,0.0006663193,0.000576703],"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":[0.0002709444,0.0004676634,0.000005123666,0.0007297751,0.000458482,0.0003971163,0.00002237376,0.00002856093,0.0358759,0.0002991607,0.9417764,0.01966852],"study_design_scores_gemma":[0.001781035,0.00008989885,0.000003864229,0.001358237,0.0003398878,0.00009403733,0.00002306123,0.0002646983,0.00806282,0.0007186726,0.9861749,0.001088865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00568935,0.004060292,0.001098382,0.001313078,0.00132769,0.0002287398,0.9850981,0.00008196216,0.001102401],"genre_scores_gemma":[0.001335511,0.001799949,0.0001160066,0.0004505512,0.002193355,0.00001465778,0.9892283,0.0001654792,0.004696198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04439854,"threshold_uncertainty_score":0.9998115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007005975474249844,"score_gpt":0.3462728596637628,"score_spread":0.339266884189513,"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."}}