{"id":"W2069985228","doi":"10.1021/jp802762q","title":"Self-assembly of Rubrene on Copper Surfaces","year":2008,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Surface Chemistry and Catalysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Institut National de la Recherche Scientifique; Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Rubrene; Scanning tunneling microscope; Density functional theory; Copper; Organic semiconductor; Molecule; Substrate (aquarium); Materials science; Adsorption; Chemical physics; Crystallography; Computational chemistry; Chemistry; Nanotechnology; Optoelectronics; Physical chemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007305623,0.0002155475,0.0002202577,0.0002153252,0.0002596633,0.0002896791,0.0003531047,0.0001948421,0.0007535212],"category_scores_gemma":[0.0002146385,0.000124804,0.0001917636,0.0001328448,0.0001545115,0.0002567422,0.0002574729,0.0002010962,0.0002036641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498163,"about_ca_system_score_gemma":0.0001163888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007994248,"about_ca_topic_score_gemma":0.001118498,"domain_scores_codex":[0.99985,0.00001284771,0.000004962847,0.0000241173,0.00005511468,0.00005293548],"domain_scores_gemma":[0.9999274,0.00001411282,0.00002146715,0.00001163767,0.00001209205,0.00001333112],"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":[0.0000548878,0.00002994298,0.0007997518,0.00008978607,0.00001936455,0.0002715235,0.0001309694,0.00149198,0.9924246,0.0005647695,0.00009805649,0.004024315],"study_design_scores_gemma":[0.00001771504,0.0002428466,0.005458546,0.000007712219,0.00001562956,0.0002569297,0.00008508725,0.009209299,0.982042,0.0001687958,0.002477444,0.00001799651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997339,0.0003212787,0.000819356,0.00001551357,0.000006575114,0.000006187431,0.00002060254,0.00003186595,0.001439626],"genre_scores_gemma":[0.997631,0.0001338569,0.001274569,0.000006573615,0.000002894313,0.000005624813,0.00004236535,0.000007783035,0.0008953905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007994248,"threshold_uncertainty_score":0.0025208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008066908409426388,"score_gpt":0.2042302641756649,"score_spread":0.1961633557662385,"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."}}