{"id":"W4241628344","doi":"10.1002/smll.201702043","title":"Homopolymer Nanolithography","year":2017,"lang":"en","type":"article","venue":"Small","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung","keywords":"Materials science; Nanotechnology; Polymer; Nanolithography; Nanostructure; Nanoparticle; Porosity; Substrate (aquarium); Deposition (geology); Self-assembly; Layer (electronics); Micelle; Fabrication; Chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004979441,0.00007771798,0.00007203349,0.0000910847,0.0001301426,0.0000791415,0.000276216,0.00004708942,0.00005122052],"category_scores_gemma":[0.000006045745,0.0000749996,0.00007546001,0.00005396923,0.00005382476,0.00007337282,0.00001985972,0.00006122171,0.00003504122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004045594,"about_ca_system_score_gemma":0.00000281645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002096178,"about_ca_topic_score_gemma":0.000007775546,"domain_scores_codex":[0.9996424,0.00000470742,0.00007943802,0.0000876687,0.00004721087,0.0001385798],"domain_scores_gemma":[0.9993754,0.000005053273,0.00002224143,0.0005314131,0.00001577666,0.00005013602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000228331,0.0001723773,0.2007707,0.000241949,0.0003421163,0.00005527419,0.0007926619,0.00001455319,0.08881558,0.1445199,0.05718945,0.5070626],"study_design_scores_gemma":[0.0003458777,0.00004334091,0.2942753,0.00003879349,0.00002491165,0.00001316762,0.00002705602,0.0004100814,0.1073607,0.004479437,0.5924297,0.0005516467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2955414,0.001688843,0.01653817,0.0003435395,0.0008384822,0.0002609364,0.00001848858,0.003152335,0.6816178],"genre_scores_gemma":[0.9947104,0.0001141133,0.004677134,0.0000494394,0.00005920571,0.00002411255,0.000002098934,0.00001836345,0.0003450933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.699169,"threshold_uncertainty_score":0.3058395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368863980329552,"score_gpt":0.2187765915826299,"score_spread":0.2050879517793343,"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."}}