{"id":"W7033381463","doi":"","title":"Polyimide nanostructures fabricated by nanoimprint lithography and its application as flexible imprint mould","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanoimprint lithography; Polyimide; Nanostructure; Lithography; Soft lithography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000274046,0.0001979321,0.0002031571,0.0002531482,0.0002384239,0.0002244555,0.0002636269,0.0003005341,0.002229779],"category_scores_gemma":[0.0003306955,0.0003205029,0.0001543834,0.0001728097,0.0002374147,0.000337613,0.0001890161,0.0003222681,0.0004990018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263843,"about_ca_system_score_gemma":0.0001726891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003321334,"about_ca_topic_score_gemma":0.0008303437,"domain_scores_codex":[0.9998796,0.000006367654,0.000007113922,0.00003451038,0.00005242254,0.00001993251],"domain_scores_gemma":[0.9998376,0.00004512581,0.00002397181,0.00004672448,0.00002950276,0.00001692032],"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":[0.00003046195,0.000007304964,0.0001047974,0.00003419557,0.000001905927,0.00004541748,0.00001975085,0.0001160218,0.9947889,0.0002892181,0.0001061307,0.004455947],"study_design_scores_gemma":[0.000004116381,0.00003833091,0.001111798,0.000002209785,0.000002868713,0.00005442707,0.000005362775,0.0009525971,0.9960229,0.00003532957,0.001766839,0.000003189617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168623,0.002150221,0.06218499,0.0003491663,0.0002627727,0.0001633256,0.0003124126,0.0008975837,0.01681725],"genre_scores_gemma":[0.9308882,0.0008678039,0.0558802,0.00007122754,0.00002665386,0.00006185152,0.0002153336,0.0001386519,0.01185014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002229779,"threshold_uncertainty_score":0.007459342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005292893923767498,"score_gpt":0.2493963945151105,"score_spread":0.244103500591343,"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."}}