{"id":"W7133363367","doi":"10.58532/nbennurradc4","title":"ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN GREEN ORGANIC CHEMISTRY: ADVANCING SUSTAINABLE CATALYSIS, PROCESS OPTIMIZATION, AND MATERIAL INNOVATION","year":2025,"lang":"","type":"book-chapter","venue":"","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretability; Process (computing); Energy consumption; Sustainable development; Process integration; Applications of artificial intelligence; Efficient energy use; Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005085021,0.0009338412,0.0007675121,0.001826265,0.0009732349,0.005064352,0.001112653,0.003356389,0.003302934],"category_scores_gemma":[0.006247547,0.0003872767,0.0005547474,0.003113259,0.003655558,0.007012851,0.002491398,0.005738392,0.001318914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457986,"about_ca_system_score_gemma":0.00288122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002558134,"about_ca_topic_score_gemma":0.002738693,"domain_scores_codex":[0.9975455,0.001097699,0.0001078499,0.0003138843,0.0007791481,0.0001558104],"domain_scores_gemma":[0.99361,0.00487627,0.0002348867,0.0003552982,0.0005972323,0.0003263443],"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":[0.0001501129,0.0001523966,0.001731672,0.001846063,0.00008527958,0.0001182633,0.0004183497,0.01185761,0.002231383,0.2953205,0.1234429,0.5626454],"study_design_scores_gemma":[0.0000346135,0.00009336595,0.001382167,0.001382239,0.00003320536,0.0001020324,0.0003175447,0.03448013,0.003508344,0.5152963,0.4432629,0.0001070391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01771857,0.4680482,0.1693297,0.2670908,0.008819793,0.0001611338,0.001308084,0.001575333,0.06594848],"genre_scores_gemma":[0.2676912,0.4666413,0.1858081,0.02677889,0.01263172,0.0004432906,0.002335772,0.0005689822,0.03710063],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005085021,"threshold_uncertainty_score":0.02689248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070457636363106,"score_gpt":0.2495286127291706,"score_spread":0.2388240363655396,"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."}}