{"id":"W4385716599","doi":"10.1007/s00894-023-05669-3","title":"Möbius carbon nanobelts interacting with heavy metal nanoclusters","year":2023,"lang":"en","type":"article","venue":"Journal of Molecular Modeling","topic":"Boron and Carbon Nanomaterials Research","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanoclusters; Materials science; Binding energy; Metal; Carbon fibers; Nanotechnology; Nanostructure; Molecular dynamics; Nickel; Chemical physics; Chemistry; Computational chemistry; Atomic physics; Physics; Metallurgy","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":[],"consensus_categories":[],"category_scores_codex":[0.001521499,0.0001746186,0.0003672858,0.0002995798,0.00008924663,0.0001735765,0.0003667686,0.00007205865,0.00004439968],"category_scores_gemma":[0.0001580142,0.0001307257,0.0001312017,0.0003336315,0.000039472,0.0002479125,0.0001374577,0.0002262435,0.00001873688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008911832,"about_ca_system_score_gemma":0.0001952764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007018522,"about_ca_topic_score_gemma":0.000008185089,"domain_scores_codex":[0.9976864,0.0002095603,0.0005735795,0.0002204195,0.0008574459,0.0004525382],"domain_scores_gemma":[0.9989646,0.00005945988,0.0002841189,0.0002203112,0.0002998245,0.0001716971],"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":[0.0002804945,0.0000222072,0.00001644243,0.00002722285,0.00003228115,0.0005929281,0.0002554822,0.07072715,0.9275918,0.00001795139,0.00001652348,0.0004194993],"study_design_scores_gemma":[0.0008233601,0.0003034613,0.000009564922,0.0002711343,0.00004608175,0.0004078572,0.0005554798,0.183877,0.8133694,0.00007495981,0.00006553467,0.0001961902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945285,0.0002870695,0.003538743,0.0003328534,0.0007868685,0.00009965843,0.000001573897,0.00005196546,0.0003728239],"genre_scores_gemma":[0.9981589,0.00003955705,0.001494409,0.0000822637,0.0001266261,0.000003947237,0.000001281289,0.00004203256,0.00005101263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142224,"threshold_uncertainty_score":0.5330839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301553289559977,"score_gpt":0.2807020445734409,"score_spread":0.2576865116778411,"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."}}