{"id":"W2332243193","doi":"10.1021/nl203488a","title":"Density Doubling of Block Copolymer Templated Features","year":2011,"lang":"en","type":"article","venue":"Nano Letters","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"University of Alberta; Alberta Innovates - Technology Futures","keywords":"Copolymer; Materials science; Polymer; Annealing (glass); Swelling; Solvent; Nanotechnology; Chemical physics; Chemical engineering; Polymer chemistry; Composite material; Chemistry; Organic chemistry","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":[0.0002365325,0.0001988429,0.0002948931,0.000132801,0.000118804,0.00003351635,0.0004391249,0.0001220496,0.0003926392],"category_scores_gemma":[0.00002503676,0.0001801253,0.00008875552,0.0002575986,0.0001449018,0.0001870143,0.0001208204,0.0001067538,0.0001832346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003340593,"about_ca_system_score_gemma":0.00004523132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159946,"about_ca_topic_score_gemma":0.00006207647,"domain_scores_codex":[0.9984848,0.00008147014,0.0003188878,0.0003615419,0.0003466856,0.0004065826],"domain_scores_gemma":[0.9990991,0.00005283209,0.000195159,0.000478587,0.00007506079,0.00009928144],"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":[0.00007447631,0.00005349255,0.001828175,0.00001860215,0.00001990445,0.00002274909,0.0007229527,0.000001806125,0.9906549,0.000118628,0.006329486,0.0001547636],"study_design_scores_gemma":[0.0004245495,0.00003885973,0.004824104,0.00002990508,0.00003816269,0.00003967976,0.00003587214,0.000003536095,0.994185,0.00001290508,0.0001623702,0.0002050675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966607,0.000232357,0.00007079899,0.00047123,0.0008284365,0.0001437257,0.000007888143,0.000164067,0.001420782],"genre_scores_gemma":[0.9961528,0.000002709819,0.002028518,0.001587329,0.000085217,0.00000661081,0.000002235747,0.00002723121,0.0001073825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006167116,"threshold_uncertainty_score":0.7345296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927610214033981,"score_gpt":0.2219150665158612,"score_spread":0.2026389643755214,"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."}}