{"id":"W2786508648","doi":"10.6000/1929-5995.2017.06.04.3","title":"Using Riboflavin as Low Molecular Mass Gelator for the Preparation of a New Network Structure Having Spiroacetal Moieties","year":2017,"lang":"en","type":"article","venue":"Journal of Research Updates in Polymer Science","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Riboflavin; Network structure; Polymer chemistry; Combinatorial chemistry; Polymer science; Chemistry; Computer science; Biochemistry","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008843201,0.000170666,0.0003613019,0.0003222499,0.0009869334,0.001303363,0.003067624,0.0001021355,0.0001017946],"category_scores_gemma":[0.002654077,0.0001188324,0.0001103298,0.0004847509,0.001483645,0.001524529,0.0005517942,0.000317288,0.000003960086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739099,"about_ca_system_score_gemma":0.001631507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003878392,"about_ca_topic_score_gemma":0.00003063764,"domain_scores_codex":[0.9958711,0.0003074461,0.0007060074,0.0003533956,0.001966061,0.0007960264],"domain_scores_gemma":[0.9968827,0.0003555447,0.0009072977,0.0009216273,0.0007419274,0.0001908632],"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":[0.0001878041,0.00001924276,0.001186641,0.00002805844,0.00001238919,0.00002348352,0.0003775452,0.00190938,0.9944173,0.001407066,0.000119231,0.0003118205],"study_design_scores_gemma":[0.0004141123,0.0002309782,0.0009785258,0.0002237426,0.0000204563,0.00007629483,0.0002556799,0.003820049,0.987239,0.006569969,0.00004806701,0.0001230966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902457,0.00278214,0.004828251,0.0005114586,0.001169809,0.0003918361,0.00001024064,0.000006315889,0.00005423266],"genre_scores_gemma":[0.9826884,0.0000377198,0.01682194,0.00003874928,0.00034396,0.000005402308,4.071504e-7,0.0000188394,0.0000445942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01199369,"threshold_uncertainty_score":0.9997334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05971226606024357,"score_gpt":0.4431321618382175,"score_spread":0.383419895777974,"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."}}