{"id":"W2255403248","doi":"10.1002/cphc.201500944","title":"Cu‐Based Nanocomposites as Multifunctional Catalysts","year":2015,"lang":"en","type":"article","venue":"ChemPhysChem","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Institute of Nano Science and Technology; Indian Institute of Technology Delhi","keywords":"Nanorod; Nanocomposite; Catalysis; Sonogashira coupling; Materials science; Nanoparticle; Yield (engineering); Chemical engineering; Hydrothermal circulation; Agglomerate; Hydrothermal synthesis; Nanotechnology; Coupling reaction; Chemistry; Composite material; Organic chemistry; Palladium","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001881795,0.0002685623,0.0002334567,0.000122459,0.00009980103,0.00003692963,0.0003159889,0.0001579279,0.0001723546],"category_scores_gemma":[0.0001549755,0.0002640354,0.0001555353,0.0003796083,0.00008025608,0.0002400681,0.00008517382,0.0001718193,0.002331486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713581,"about_ca_system_score_gemma":0.0003239812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084301,"about_ca_topic_score_gemma":0.00007399212,"domain_scores_codex":[0.9982737,0.00003144909,0.000236872,0.0004384565,0.0006167241,0.0004027813],"domain_scores_gemma":[0.9986885,0.00006902507,0.00009976825,0.000501686,0.0003219006,0.0003191127],"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":[0.0003217025,0.0003071052,0.00140431,0.00003643185,0.0001474054,0.00004652173,0.0002058267,0.002491474,0.9504404,0.007775994,0.03276589,0.004056958],"study_design_scores_gemma":[0.00140135,0.00007391359,0.00009263647,0.00001553261,0.00003120536,0.0000206634,0.00004168785,0.002344398,0.8762567,0.0005320102,0.1188911,0.0002987404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990403,0.000254518,0.0001617873,0.00053443,0.0004210818,0.0001093297,0.000001616798,0.000477755,0.09899916],"genre_scores_gemma":[0.9928503,0.000001542029,0.001230219,0.0005261956,0.000307733,0.00003946624,0.0004037696,0.0000567891,0.004583978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09441519,"threshold_uncertainty_score":0.9999812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750219507836932,"score_gpt":0.238014465731749,"score_spread":0.2205122706533797,"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."}}