{"id":"W2133004636","doi":"10.1039/c4nr07057g","title":"Pentacene on Ni(111): room-temperature molecular packing and temperature-activated conversion to graphene","year":2015,"lang":"en","type":"article","venue":"Nanoscale","topic":"Graphene research and applications","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pentacene; Graphene; Materials science; Monolayer; Adsorption; Scanning tunneling microscope; Nanotechnology; Optoelectronics; Quantum tunnelling; Layer (electronics); Chemical engineering; Chemistry; Physical chemistry; Thin-film transistor","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":[0.0002545113,0.0001738682,0.0001811031,0.0001278844,0.0001998814,0.000169855,0.0002188113,0.0001215906,0.0000897316],"category_scores_gemma":[0.00007788392,0.0001454663,0.00004093891,0.0004872115,0.00006091244,0.0001382484,0.0001130303,0.0001765844,0.0001955456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050969,"about_ca_system_score_gemma":0.00006596855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008512183,"about_ca_topic_score_gemma":0.00001265908,"domain_scores_codex":[0.9984777,0.00009638321,0.0001452175,0.000446588,0.0004535517,0.0003805395],"domain_scores_gemma":[0.9989164,0.00003231241,0.00003914844,0.0003546018,0.0001616777,0.0004959001],"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":[0.0001092287,0.00007252,0.000419656,0.00001077344,0.000005026156,0.00001152296,0.0001104822,0.00001821797,0.9892541,0.0006410953,0.009249229,0.00009819581],"study_design_scores_gemma":[0.0005781507,0.0002809693,0.001789712,0.0000432446,0.000006386882,0.000006918036,0.0001553009,0.000007102497,0.9922678,0.0004305983,0.00425373,0.0001800698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969357,0.0002231594,0.00002791099,0.00159941,0.000172823,0.0004098114,0.00004202187,0.00008920364,0.0004999526],"genre_scores_gemma":[0.9982742,0.00002500086,0.0006156297,0.0006017143,0.00005218789,0.00005683574,0.00003082385,0.00002127434,0.0003223543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004995499,"threshold_uncertainty_score":0.5931942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693329031109897,"score_gpt":0.2724821663829654,"score_spread":0.2555488760718664,"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."}}