{"id":"W4365147168","doi":"10.1515/iupac.94.0570","title":"Inverted Micelle","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; Abandonment (legal); Meaning (existential); Field (mathematics); Chemistry; 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":[0.001089419,0.003239902,0.001790433,0.002782835,0.001436519,0.002849858,0.004106896,0.002271412,0.08399096],"category_scores_gemma":[0.004017026,0.0008537101,0.002232155,0.004173996,0.0006462695,0.002658452,0.003111046,0.002949592,0.1897645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425307,"about_ca_system_score_gemma":0.002192105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801109,"about_ca_topic_score_gemma":0.04837751,"domain_scores_codex":[0.9988701,0.0001992318,0.0001189481,0.0003600041,0.0002645519,0.000187081],"domain_scores_gemma":[0.9985014,0.0002995702,0.0001280594,0.0006012029,0.0003328512,0.0001369862],"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":[0.000130114,0.0000474141,0.0004283052,0.0006371291,0.00002752339,0.00002734686,0.00002262185,0.0002307904,0.0005550298,0.0007453746,0.993534,0.003614439],"study_design_scores_gemma":[0.0002125593,0.00005123802,0.002228552,0.0002902898,0.00003125046,0.0001160275,0.00006560802,0.0006671182,0.001276674,0.002459114,0.9925545,0.00004720609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00033606,0.0002341884,0.0002613995,0.00009751276,0.00006636602,0.00003496046,0.9948907,0.001813017,0.002265827],"genre_scores_gemma":[0.0003100485,0.00008950172,0.0004969683,0.00008559941,0.000007791296,0.00007376886,0.9979129,0.0001398738,0.0008834236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08399096,"threshold_uncertainty_score":0.2809778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623936655302156,"score_gpt":0.4132087410789363,"score_spread":0.3869693745259148,"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."}}