{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180631,0.001750479,0.001530689,0.005397687,0.0008830152,0.003772272,0.002405819,0.001418811,0.1032604],"category_scores_gemma":[0.01617329,0.0006004854,0.002315687,0.007221033,0.0004584374,0.004267106,0.001546407,0.002401267,0.103509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477904,"about_ca_system_score_gemma":0.002039539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01659392,"about_ca_topic_score_gemma":0.03052416,"domain_scores_codex":[0.9978995,0.0002448997,0.0003198197,0.000749941,0.0005229259,0.0002629325],"domain_scores_gemma":[0.9968928,0.001194251,0.0002645679,0.0007257983,0.0008237348,0.00009882353],"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":[0.0002347729,0.0000632363,0.006720985,0.001496274,0.0001448601,0.00008264591,0.00006587649,0.002186955,0.0002349803,0.0050914,0.9472494,0.03642875],"study_design_scores_gemma":[0.0002111052,0.00004247227,0.01131827,0.0007110011,0.000101836,0.0003479949,0.0002105597,0.004165115,0.0007181548,0.01384911,0.9682456,0.00007879749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001572401,0.001042357,0.00113954,0.0002108476,0.0001668616,0.0000616492,0.9866936,0.0009154509,0.008197367],"genre_scores_gemma":[0.006958856,0.0008951763,0.002280802,0.0001210358,0.00005764997,0.000189901,0.9845237,0.0002846684,0.004688284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1032604,"threshold_uncertainty_score":0.3454403,"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."}}