{"id":"W4206402687","doi":"10.1039/d1gc03283f","title":"Making more with less: confinement effects for more sustainable chemical transformations","year":2022,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Zeolite Catalysis and Synthesis","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Royal Society Te Apārangi; McGill University","keywords":"Sustainability; Nanotechnology; Biochemical engineering; Chemistry; Chemical engineering; Chemical physics; Materials science; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005354444,0.0004378636,0.000545372,0.0003007606,0.00146113,0.001728695,0.0008096328,0.001240149,0.0133613],"category_scores_gemma":[0.001129825,0.0002847918,0.0003416103,0.0003188067,0.00280217,0.004270223,0.00269671,0.002169226,0.00213449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008601,"about_ca_system_score_gemma":0.0007224642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006316449,"about_ca_topic_score_gemma":0.001605285,"domain_scores_codex":[0.9996137,0.00006442754,0.00001028759,0.00006340069,0.0001538281,0.00009436347],"domain_scores_gemma":[0.9996688,0.0001164574,0.00003638687,0.00006496697,0.00006323685,0.000050126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001882713,0.0001449513,0.0002929262,0.001350326,0.00005147302,0.0003004903,0.000669435,0.002018379,0.1208844,0.7672408,0.02874458,0.078114],"study_design_scores_gemma":[0.00008643803,0.0003835128,0.0005512614,0.000332048,0.00005775398,0.0004089985,0.0008581671,0.007742243,0.0891897,0.4790724,0.4211696,0.0001478764],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2557377,0.1378748,0.1465186,0.05798324,0.009689152,0.0001820243,0.0007126314,0.001719327,0.3895825],"genre_scores_gemma":[0.900735,0.03462273,0.02161499,0.006671957,0.0009371391,0.0001682655,0.0001964905,0.0003182416,0.03473516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0133613,"threshold_uncertainty_score":0.044698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414116837689581,"score_gpt":0.243629189602287,"score_spread":0.2294880212253912,"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."}}