{"id":"W2027216409","doi":"10.1016/j.cplett.2008.04.053","title":"Scanning tunneling microscopy and computational study of the self-directed growth of 1,3-butadiene and 2,3-dimethyl-1,3-butadiene on hydrogen-terminated silicon(1 0 0)-2 × 1","year":2008,"lang":"en","type":"article","venue":"Chemical Physics Letters","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"","keywords":"Scanning tunneling microscope; Steric effects; 1,3-Butadiene; Silicon; Dimer; Hydrogen; Density functional theory; Materials science; Chemistry; Crystallography; Computational chemistry; Nanotechnology; Chemical physics; Stereochemistry; Optoelectronics; Organic chemistry; Catalysis","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":[0.0001354743,0.0002632331,0.0004137928,0.0003771984,0.0004924367,0.0005440084,0.00103525,0.0009562898,0.002363655],"category_scores_gemma":[0.0005105647,0.0003773347,0.0004863414,0.0003271386,0.0005014715,0.000418162,0.000209003,0.0004799537,0.0001422424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009956672,"about_ca_system_score_gemma":0.0008150816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104981,"about_ca_topic_score_gemma":0.01226002,"domain_scores_codex":[0.9999435,0.000006612295,0.000002644596,0.00001000374,0.00001887507,0.00001837087],"domain_scores_gemma":[0.9997125,0.0001534671,0.00003577096,0.00002610078,0.00004390342,0.00002832486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005805938,0.0007194417,0.009549852,0.0003357446,0.0002849079,0.001181961,0.0002897055,0.870111,0.0947234,0.01450306,0.001882029,0.005838329],"study_design_scores_gemma":[0.00002912087,0.00005243272,0.002125262,0.000002422558,0.00001138353,0.00003394353,0.00005183199,0.9935581,0.00356053,0.0004296171,0.0001348362,0.00001048007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965144,0.00005049192,0.0008203347,0.0001043356,0.0000094128,0.000006779638,0.0001826808,0.00005764115,0.002253984],"genre_scores_gemma":[0.9979535,0.00003061244,0.001323684,0.00001978911,0.000003746973,0.00001043073,0.0001283078,0.0000100664,0.0005199173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01104981,"threshold_uncertainty_score":0.02197099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005753330997009645,"score_gpt":0.196559730165939,"score_spread":0.1908063991689294,"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."}}