{"id":"W2916677545","doi":"10.1039/c9nr00713j","title":"Alignment of semiconducting graphene nanoribbons on vicinal Ge(001)","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Graphene research and applications","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Wisconsin Alumni Research Foundation; Public Risk Management Association; U.S. Department of Energy","keywords":"Vicinal; Graphene nanoribbons; Graphene; Materials science; Chemical vapor deposition; Nanotechnology; Chemistry; Organic 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":[0.00006527283,0.0004311697,0.0001662257,0.0001848196,0.0001696235,0.0002685991,0.0003533146,0.0002889085,0.0009912759],"category_scores_gemma":[0.0001723317,0.0002225377,0.0001395706,0.0002326589,0.0001521933,0.000133242,0.0002064644,0.0002922929,0.0004498447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819514,"about_ca_system_score_gemma":0.0001472762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111678,"about_ca_topic_score_gemma":0.003118274,"domain_scores_codex":[0.9998877,0.00001180633,0.000006272224,0.00002989926,0.00003398528,0.00003028389],"domain_scores_gemma":[0.9999275,0.000009712404,0.00003184848,0.00001038752,0.00001133148,0.000009168059],"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":[0.00001633496,0.000006320598,0.00009845303,0.00003332658,0.000003321896,0.00003681062,0.0000112693,0.0002567889,0.9981272,0.0001823309,0.00006550847,0.001162353],"study_design_scores_gemma":[0.000007654469,0.00006710579,0.001089057,0.000003996824,0.000004459344,0.00005666388,0.0000121726,0.001875909,0.9955347,0.00005095576,0.001292021,0.000005381916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917577,0.0005673308,0.002386951,0.00007649688,0.00004107191,0.00001982308,0.0002585182,0.0001379108,0.004754256],"genre_scores_gemma":[0.9921405,0.0003299057,0.005826577,0.00002633522,0.000004725483,0.00001349808,0.0002246702,0.00006383304,0.001369936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001111678,"threshold_uncertainty_score":0.003496766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870734696109319,"score_gpt":0.2758022336396673,"score_spread":0.2570948866785741,"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."}}