{"id":"W4366142223","doi":"10.1021/acsnano.3c01897","title":"Nanosecond Laser Confined Bismuth Moiety with Tunable Structures on Graphene for Carbon Dioxide Reduction","year":2023,"lang":"en","type":"article","venue":"ACS Nano","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; University of Alberta","keywords":"Formate; Catalysis; Graphene; Materials science; Bismuth; Substrate (aquarium); Nanotechnology; Electrochemical reduction of carbon dioxide; Adsorption; Atom (system on chip); Dissolution; Ligand (biochemistry); Combinatorial chemistry; Chemical physics; Photochemistry; Chemistry; Physical chemistry; Carbon monoxide; Organic 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":[0.00004234511,0.0002230035,0.00009902083,0.0001959884,0.0001593126,0.0001582558,0.0003429637,0.0002503693,0.0009378859],"category_scores_gemma":[0.00008033017,0.0001162119,0.0001120212,0.0001836717,0.0001769745,0.0001779278,0.0002606681,0.0002576573,0.0002240952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003313964,"about_ca_system_score_gemma":0.00009913345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506158,"about_ca_topic_score_gemma":0.001355416,"domain_scores_codex":[0.999944,0.000005881829,0.000002330713,0.000009578413,0.00002526364,0.00001290643],"domain_scores_gemma":[0.9999734,0.000005501347,0.000007608334,0.000004671133,0.000004421579,0.000004396828],"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":[0.00002384768,0.00001172185,0.00005249801,0.00003317253,0.000002489768,0.00003104957,0.00001969712,0.0001879476,0.9973173,0.0003390314,0.00007642277,0.001904762],"study_design_scores_gemma":[0.000009470027,0.0001033184,0.000674974,0.000003765261,0.000005448577,0.00004107673,0.00001968794,0.003214717,0.9939201,0.00007548634,0.001922908,0.000009105525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928572,0.0007315557,0.002791137,0.0001098804,0.00003314547,0.00001502734,0.00008367003,0.0001174115,0.00326095],"genre_scores_gemma":[0.9961887,0.0002580449,0.002551383,0.00002219702,0.00000563098,0.00001350347,0.0000416424,0.00001143255,0.000907505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009378859,"threshold_uncertainty_score":0.003137529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223010007987564,"score_gpt":0.2365179059698339,"score_spread":0.2242878058899583,"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."}}