{"id":"W4324257760","doi":"10.1038/s41929-023-00924-5","title":"Supramolecular tuning of supported metal phthalocyanine catalysts for hydrogen peroxide electrosynthesis","year":2023,"lang":"en","type":"article","venue":"Nature Catalysis","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":279,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; University of Toronto; Government of Ontario","keywords":"Catalysis; Cobalt; Overpotential; Phthalocyanine; Electrosynthesis; Hydrogen peroxide; Anthraquinone; Chemistry; Inorganic chemistry; Materials science; Chemical engineering; Photochemistry; Electrochemistry; Organic chemistry; Electrode; Physical chemistry","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":[0.0001342703,0.0002272051,0.0001726509,0.000152772,0.0001525349,0.0004986174,0.0003302412,0.0002361561,0.002308892],"category_scores_gemma":[0.0003678148,0.0001628328,0.000106039,0.0001118421,0.0002415787,0.0003350868,0.0003362999,0.0005565343,0.0004233341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002377171,"about_ca_system_score_gemma":0.0000976828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000116792,"about_ca_topic_score_gemma":0.0003615165,"domain_scores_codex":[0.9998826,0.00001226657,0.000007900534,0.00002734095,0.00004081458,0.00002917687],"domain_scores_gemma":[0.9999039,0.00003378012,0.00002061451,0.00001265223,0.00001200171,0.0000169743],"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":[0.0001024503,0.00004206352,0.0000928994,0.00006328142,0.000008408315,0.00004727073,0.00004080525,0.000283569,0.9943089,0.0005144716,0.0001708101,0.004325002],"study_design_scores_gemma":[0.00002068837,0.00008502849,0.0004285804,0.000002622206,0.000004272312,0.00003037703,0.00001517208,0.002450824,0.99583,0.0000717623,0.001054723,0.000005929713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921911,0.0004388402,0.003073487,0.0001166675,0.00004336769,0.00002154521,0.00005720192,0.000225887,0.003831805],"genre_scores_gemma":[0.9986064,0.0001044734,0.0006344263,0.00001973903,0.000007437643,0.000008313416,0.00002443249,0.00002908383,0.0005657262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002308892,"threshold_uncertainty_score":0.007724047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007669810609448203,"score_gpt":0.2439426370392918,"score_spread":0.2362728264298436,"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."}}