{"id":"W2032111469","doi":"10.1002/smll.200600064","title":"Patterning of Chemical Gradients with Submicrometer Resolution Using Edge‐Spreading Lithography","year":2006,"lang":"en","type":"article","venue":"Small","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; National Research Council Canada","funders":"","keywords":"Monolayer; Lithography; Substrate (aquarium); Materials science; Nanotechnology; Self-assembled monolayer; Self-assembly; Resolution (logic); Nanoparticle; Chemical engineering; Optoelectronics","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":[0.0001867927,0.0003300527,0.0003298579,0.000243119,0.0001600153,0.0003218505,0.0004735446,0.0003478366,0.001401348],"category_scores_gemma":[0.0003012024,0.0003036802,0.0001466193,0.0001411526,0.0002051651,0.0003304478,0.0003732131,0.0006863869,0.0008797315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560035,"about_ca_system_score_gemma":0.0001881365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003028605,"about_ca_topic_score_gemma":0.0006528775,"domain_scores_codex":[0.9998709,0.00001098469,0.00001014667,0.00002642071,0.00005178547,0.00002982597],"domain_scores_gemma":[0.9997923,0.0000677954,0.00003234269,0.00003461779,0.00004734372,0.0000257259],"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":[0.000009338766,0.000006124244,0.00004438009,0.00001451931,0.000001316103,0.00001454844,0.000008810774,0.00008041946,0.9970468,0.0001801016,0.0000695981,0.002524016],"study_design_scores_gemma":[0.000009715931,0.00003641253,0.0005363442,0.000002710587,0.000003012595,0.0000778251,0.00000958272,0.003556917,0.9939954,0.000186514,0.001578084,0.000007552659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.804332,0.002175195,0.1804598,0.0004560613,0.0001885611,0.0001397904,0.0007206203,0.002379812,0.009148188],"genre_scores_gemma":[0.7927846,0.0009289602,0.2012137,0.0001866028,0.00004231879,0.0001064028,0.000441524,0.00015318,0.004142664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001401348,"threshold_uncertainty_score":0.004687905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029433054855388,"score_gpt":0.1916487579163575,"score_spread":0.1813544273678036,"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."}}