{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003877818,0.0005996441,0.0007281285,0.0001525505,0.0001709933,0.0001330102,0.001266265,0.00096566,0.01108243],"category_scores_gemma":[0.001627472,0.0006092229,0.0002690465,0.0003998738,0.000193073,0.00005200122,0.0006940266,0.001876488,0.0001103756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008274475,"about_ca_system_score_gemma":0.001565011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015402,"about_ca_topic_score_gemma":0.001895415,"domain_scores_codex":[0.9957016,0.00003257189,0.0005837688,0.0008254307,0.001999565,0.000857126],"domain_scores_gemma":[0.9969637,0.0001743158,0.0002393023,0.00171688,0.0005185531,0.0003872866],"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":[0.00007476633,0.0001990285,0.000007593393,0.001413006,0.0002353345,0.0004647906,0.000009489169,0.000003004512,0.001236339,7.715062e-7,0.9957709,0.0005850282],"study_design_scores_gemma":[0.000850337,0.00002750002,0.000001452833,0.0003682271,0.0001028458,0.00002272304,0.00005521703,0.0000895486,0.002268904,0.0000966783,0.9955336,0.0005829513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002636475,0.0003423541,0.000003369427,0.0004794265,0.0003160326,0.0001079165,0.9973431,0.0003776525,0.0007665015],"genre_scores_gemma":[0.000003957471,0.001044172,0.00002755616,0.0001110354,0.001385443,0.00003133741,0.9772198,0.0001196081,0.02005716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02012337,"threshold_uncertainty_score":0.9996359,"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."}}