{"id":"W3034279164","doi":"10.71781/15441","title":"Construction of graphene, nanotubes and polytopes using finite reflection groups","year":2019,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Graphene research and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Polytope; Reflection (computer programming); Materials science; Nanotechnology; Combinatorics; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007381822,0.0002542696,0.0001722852,0.0003835705,0.0003596375,0.00047204,0.0002860877,0.0003437655,0.003608913],"category_scores_gemma":[0.0001548444,0.0001287131,0.0005247471,0.0002235672,0.0004089513,0.0004393899,0.0004553163,0.0004002418,0.0005863637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889741,"about_ca_system_score_gemma":0.000223119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001965792,"about_ca_topic_score_gemma":0.0004906733,"domain_scores_codex":[0.9999142,0.00001195558,0.000003724308,0.00001579923,0.00003565167,0.00001871353],"domain_scores_gemma":[0.999929,0.000016937,0.00001255862,0.00001990864,0.00001020335,0.00001148238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001740116,0.0001555382,0.00117256,0.0005434874,0.00005026424,0.001152512,0.0006153922,0.02882645,0.5188059,0.3682743,0.001794651,0.07843488],"study_design_scores_gemma":[0.0001372909,0.00133953,0.003729732,0.000155902,0.00008785357,0.002443485,0.0009675759,0.1339086,0.5901306,0.1633277,0.103625,0.000146622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7072783,0.0008594261,0.2375651,0.0003374988,0.0002788035,0.0001418028,0.0002160643,0.0006498549,0.05267323],"genre_scores_gemma":[0.8447971,0.0007614064,0.1346461,0.00007416828,0.00003317324,0.0001422201,0.0002829582,0.0001487484,0.01911414],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003608913,"threshold_uncertainty_score":0.01207304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964810163283717,"score_gpt":0.2123575393367137,"score_spread":0.2027094377038765,"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."}}