{"id":"W2032101998","doi":"10.1063/1.1526459","title":"“Gentle lithography” with benzene on Si(100)","year":2002,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"","keywords":"Lithography; Scanning tunneling microscope; Benzene; Etching (microfabrication); Ferrocene; Materials science; Nanolithography; Desorption; Nanotechnology; Molecule; Optoelectronics; Analytical Chemistry (journal); Chemistry; Adsorption; Fabrication; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002434159,0.0002198935,0.0001637844,0.00003602841,0.0001734113,0.0000551385,0.0001996272,0.00002376564,0.0003143789],"category_scores_gemma":[8.303989e-8,0.0001931817,0.00009229374,0.0003057538,0.00008218548,0.00004826371,0.00002902448,0.0001891915,0.0002699344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001409359,"about_ca_system_score_gemma":0.00000378377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003572115,"about_ca_topic_score_gemma":2.297761e-7,"domain_scores_codex":[0.9990739,0.00000643793,0.0001325768,0.0003320542,0.0001529501,0.0003021265],"domain_scores_gemma":[0.9993597,0.00002235924,0.00008315522,0.0004464813,0.00001623709,0.00007211315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002118178,0.0006161191,0.001742723,0.00001205418,0.000148565,0.000001202202,0.0003183884,0.0009404289,0.4306924,0.4677201,0.05616831,0.04161855],"study_design_scores_gemma":[0.002166187,0.0002981167,0.001018599,0.0000851911,0.0001823234,0.000001439988,0.0002452371,0.0006708142,0.7471855,0.008680067,0.2375251,0.001941407],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7832011,0.00001338097,0.07994741,0.001280566,0.00004229084,0.0007296886,0.00007747399,0.000269153,0.1344389],"genre_scores_gemma":[0.9935087,0.000001967644,0.003658502,0.001967771,0.0003152734,0.0002561526,0.00006286935,0.00004621827,0.0001825309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.45904,"threshold_uncertainty_score":0.7877721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007362845845144,"score_gpt":0.2199910731257045,"score_spread":0.209917444667253,"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."}}