{"id":"W4392931566","doi":"10.1039/d4ra00432a","title":"Greening up organic reactions with caffeine: applications, recent developments, and future directions","year":2024,"lang":"en","type":"review","venue":"RSC Advances","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Government of Canada","keywords":"Caffeine; Greening; Biochemical engineering; Catalysis; Chemistry; Nanotechnology; Organic chemistry; Materials science; Engineering; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005739032,0.0003596186,0.0005525468,0.0002792313,0.000157066,0.00005853037,0.0001282727,0.0001474672,0.00005221883],"category_scores_gemma":[0.00000428766,0.0002796353,0.0000864808,0.001143836,0.00003223312,0.0001976239,0.0000540678,0.0003153824,0.0001385065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002816474,"about_ca_system_score_gemma":0.00007699973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000399615,"about_ca_topic_score_gemma":0.0001030322,"domain_scores_codex":[0.9989346,0.0000144148,0.0003171285,0.0003866247,0.0001542228,0.000192976],"domain_scores_gemma":[0.9994691,0.00004047105,0.00008703915,0.0002793001,0.00004014799,0.00008396221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.36689e-7,0.000004226868,0.000001033185,0.006166945,0.0002275265,0.000002811204,0.00002944079,0.000002054033,0.000003797401,0.00004777986,0.0005521153,0.9929616],"study_design_scores_gemma":[0.00004419342,0.000006323151,0.000001310142,0.001800018,0.0008493834,0.0001185228,0.00006362955,0.000009332348,0.00001232564,0.0000115388,0.996754,0.0003294195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001085186,0.9965062,0.00113917,0.00003235463,0.0007459769,0.0004706144,0.00005917185,0.0005014671,0.0005440264],"genre_scores_gemma":[0.000001562591,0.9959451,0.001904216,0.000003208038,0.0003581279,0.0003799488,0.0004377979,0.00009492567,0.0008750905],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9962019,"threshold_uncertainty_score":0.9999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080266083043741,"score_gpt":0.2592626259386446,"score_spread":0.2484599651082072,"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."}}