{"id":"W2028078966","doi":"10.1073/pnas.1014892107","title":"Scanning probe block copolymer lithography","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Air Force; Air Force Office of Scientific Research; Defense Advanced Research Projects Agency; U.S. Department of Defense; Advanced Research Projects Agency; National Institutes of Health; National Science Foundation","keywords":"Dip-pen nanolithography; Lithography; Nanolithography; Nanotechnology; Materials science; Copolymer; Nanoparticle; Substrate (aquarium); Polymer; Resist; Optoelectronics; Fabrication","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001716323,0.0004463634,0.0002424082,0.000291983,0.0001824078,0.0002358878,0.0003934992,0.0004172919,0.007903701],"category_scores_gemma":[0.0002348788,0.0002782078,0.0001727873,0.0001983827,0.0002839042,0.0002917598,0.0003558793,0.0005050973,0.003056833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859017,"about_ca_system_score_gemma":0.0002118435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002785133,"about_ca_topic_score_gemma":0.0005732534,"domain_scores_codex":[0.9997949,0.00002783113,0.00001113563,0.00005654408,0.00007687553,0.000032798],"domain_scores_gemma":[0.9998615,0.00005042514,0.00002850599,0.00003487854,0.00001586588,0.000008889147],"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":[0.00003077521,0.000007899062,0.00005941866,0.00004995905,0.000003425833,0.00007192813,0.00001601396,0.0002159871,0.9837171,0.001503787,0.0007221496,0.01360176],"study_design_scores_gemma":[0.00001211916,0.0000594558,0.0004197879,0.00000476194,0.000003247999,0.0003177217,0.000006214212,0.004992691,0.9797878,0.0002400344,0.01414928,0.000006839598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3704303,0.004371076,0.5473265,0.001084619,0.000455388,0.0006496173,0.001940593,0.008826664,0.06491525],"genre_scores_gemma":[0.6268082,0.001844896,0.3430981,0.0003090095,0.00005503469,0.0005203268,0.0007954454,0.0002419592,0.02632703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007903701,"threshold_uncertainty_score":0.0264405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119204416394341,"score_gpt":0.2848836182507347,"score_spread":0.2636915740867912,"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."}}