{"id":"W2608879837","doi":"10.3968/9457","title":"Preparation and Characterization of Gemini Surfactant Intermedium","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonylphenol; Pulmonary surfactant; Diglycidyl ether; Diol; Ethylene glycol; Catalysis; Chemistry; Yield (engineering); Epoxy; Ether; Characterization (materials science); Organic chemistry; Polymer chemistry; Materials science; Bisphenol A; Nanotechnology; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000131896,0.0001012162,0.0001629224,0.00004136355,0.0001378902,0.00007495339,0.00007714413,0.00004801504,0.00003236012],"category_scores_gemma":[0.00003406894,0.00009268531,0.000008371481,0.00001800008,0.00005405405,0.001035968,0.00005417534,0.00004676679,0.000001951812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003254796,"about_ca_system_score_gemma":0.00003785158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006835194,"about_ca_topic_score_gemma":0.00009441865,"domain_scores_codex":[0.9992254,0.000009582985,0.0003316906,0.0001933395,0.0001395373,0.0001004329],"domain_scores_gemma":[0.9994565,0.00001830923,0.0002925838,0.0001554071,0.00003833386,0.00003884817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004630668,0.0001555065,0.3075719,0.0005394444,0.00003611334,0.000007274366,0.009278263,0.0001111784,0.4321901,0.0007509507,0.000007782681,0.2488884],"study_design_scores_gemma":[0.003312159,0.0001418901,0.1835048,0.0009273446,0.0000150972,0.00001500318,0.003763738,0.009858708,0.6587313,0.0006330324,0.138243,0.0008539647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947839,0.0002567821,0.001543655,0.00007856805,0.000163427,0.00005808274,0.000005423907,0.00001563494,0.003094472],"genre_scores_gemma":[0.9976827,0.001536373,0.0002887784,0.0000100358,0.00002563017,0.00003745867,0.00003681934,0.000006808458,0.0003753988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2480344,"threshold_uncertainty_score":0.3779597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691997108957928,"score_gpt":0.2787561223408752,"score_spread":0.2618361512512959,"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."}}