{"id":"W4250856952","doi":"10.1515/iupac.80.0071","title":"Bunsen Coefficient","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminology; Glossary; Chemical nomenclature; Confusion; Bunsen burner; Solubility; Nomenclature; Diversity (politics); Chemistry; Polymer science; Philosophy; Sociology; Organic chemistry; Linguistics; Psychology; Anthropology; Taxonomy (biology); Ecology","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":[0.001463168,0.002479103,0.002130928,0.005266225,0.001153324,0.003694315,0.003153795,0.001826591,0.08155463],"category_scores_gemma":[0.01418648,0.0005768432,0.002618746,0.006260269,0.0004775226,0.003512496,0.001834666,0.002580597,0.1242048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639542,"about_ca_system_score_gemma":0.002640843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934025,"about_ca_topic_score_gemma":0.03550414,"domain_scores_codex":[0.9979838,0.0002466258,0.0002594291,0.000821882,0.000460029,0.0002281605],"domain_scores_gemma":[0.9976358,0.0007311591,0.0001566655,0.0005898761,0.0007729357,0.0001135901],"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":[0.0002538839,0.00005972118,0.004471486,0.0008791712,0.0001229344,0.00005340054,0.00003304354,0.00150934,0.0002027762,0.002153426,0.9617756,0.02848532],"study_design_scores_gemma":[0.0003284323,0.00005848908,0.008049151,0.0005974604,0.0001237341,0.0003043501,0.0001507679,0.004926005,0.0007390953,0.01044466,0.9742035,0.00007439659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001808546,0.001450995,0.001686719,0.0004033546,0.0003603816,0.0001000144,0.9836326,0.002263536,0.008293782],"genre_scores_gemma":[0.004683966,0.0007587812,0.00317279,0.0002353897,0.00008129435,0.0002307312,0.9845536,0.0004518667,0.00583167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08155463,"threshold_uncertainty_score":0.2728274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036875393265452,"score_gpt":0.4464639976754057,"score_spread":0.4260952437427512,"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."}}