{"id":"W2479209046","doi":"10.1021/acs.jpcc.6b05158","title":"Mechanistic Control of the Growth of Three-Dimensional Gold Sensors","year":2016,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Ontario Ministry of Research, Innovation and Science; Government of Canada; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Microscale chemistry; Nucleation; Overpotential; Nanotechnology; Materials science; Electrode; Microelectronics; Microelectrode; Chemical physics; Electrochemistry; 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":[0.0004407199,0.000311915,0.0002131737,0.0001526371,0.0002051655,0.0008511734,0.0006057907,0.0006167811,0.0005156986],"category_scores_gemma":[0.0008075775,0.0003052028,0.0002549143,0.0001388961,0.0006017416,0.0004924947,0.0004544485,0.0007752418,0.0002801372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008311123,"about_ca_system_score_gemma":0.0002460775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004151731,"about_ca_topic_score_gemma":0.0006270171,"domain_scores_codex":[0.9996339,0.0000556803,0.00003500244,0.0001013043,0.0001330813,0.00004093492],"domain_scores_gemma":[0.9996064,0.0001870781,0.0000816535,0.00005686185,0.0000420459,0.00002596675],"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":[0.00002042043,0.0000233238,0.0001432635,0.00008870705,0.000006655999,0.0000479449,0.00004996996,0.001591571,0.9924493,0.003268358,0.0001022181,0.002208256],"study_design_scores_gemma":[0.000004490239,0.00001940663,0.0003210141,0.000002901075,0.000002507732,0.0000345931,0.00001324571,0.01091802,0.9860224,0.0006120818,0.002042592,0.000006793633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8444036,0.003550793,0.1382207,0.000838768,0.0002002187,0.0001501398,0.0005239094,0.0006758175,0.0114361],"genre_scores_gemma":[0.9763744,0.0008724433,0.02161626,0.0001011772,0.000009201059,0.00007677548,0.0001025791,0.00003803236,0.0008092019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008511734,"threshold_uncertainty_score":0.006030142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005602903574463857,"score_gpt":0.228050650116953,"score_spread":0.2224477465424891,"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."}}