{"id":"W3046926984","doi":"10.1021/acs.jpcc.0c03830","title":"Core–Shell Nanocuboid Dimers with Nanometric Gaps","year":2020,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); McMaster University","funders":"Université Sorbonne Paris Cité; Commissariat Général à l'Investissement; Centre National de la Recherche Scientifique; Université Paris Diderot; Austrian Science Fund; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Laboratoire d'Excellence SEAM; McMaster University","keywords":"Shell (structure); Core (optical fiber); Materials science; Nanotechnology; Crystallography; Chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009156318,0.000166508,0.000278997,0.000009316225,0.00008502822,0.00002812695,0.0004760509,0.0000468491,0.0006584101],"category_scores_gemma":[0.00005751028,0.0000984748,0.0001285652,0.0002888149,0.0001295433,0.00006229507,0.0000541727,0.0003104424,0.00002989781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003686338,"about_ca_system_score_gemma":0.0000893612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003512669,"about_ca_topic_score_gemma":6.004024e-8,"domain_scores_codex":[0.9990942,0.00001013026,0.0002586919,0.0001200506,0.0003133092,0.0002035513],"domain_scores_gemma":[0.9989372,0.0001651927,0.0003485806,0.0002317468,0.00008852229,0.0002287802],"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":[0.0001650517,0.0001106137,0.00001798605,0.0001163104,0.00005735199,0.000005170444,0.0001602466,0.000134094,0.9981529,0.00003552464,0.0007389302,0.0003058395],"study_design_scores_gemma":[0.0005311195,0.00005950898,0.00001761623,0.00003995793,0.0001264475,0.00003418101,0.0001805549,0.00009044005,0.9925777,0.0001049122,0.006102474,0.0001350457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912984,0.000313782,0.00003115991,0.0009921697,0.0000115024,0.00002777596,0.0000327033,0.00002297378,0.007269467],"genre_scores_gemma":[0.9984071,0.00005220002,0.00007336769,0.0002382345,0.0009849307,0.00000315913,0.00000572834,0.00002411094,0.0002111867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007108616,"threshold_uncertainty_score":0.7209129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229113237944006,"score_gpt":0.2393703403721278,"score_spread":0.2170792079926877,"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."}}