{"id":"W4387557476","doi":"10.1016/j.mtchem.2023.101732","title":"Effectivity of plasma etching on template removal of reverse micelle deposited nanoparticles","year":2023,"lang":"en","type":"article","venue":"Materials Today Chemistry","topic":"Copper-based nanomaterials and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hitachi (Canada); McMaster University; Concordia University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Materials science; Polymer; Nanoparticle; Micelle; Copolymer; Chemical engineering; Raman spectroscopy; Plasma etching; Etching (microfabrication); Reactive-ion etching; Template; Oxide; Nanotechnology; Composite material; Chemistry; Organic chemistry; Layer (electronics)","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":[0.0007269706,0.000204594,0.0004544356,0.00004909431,0.0001148213,0.00004652351,0.0002782603,0.0001284731,0.0007914544],"category_scores_gemma":[0.0001249441,0.0001896848,0.00007426667,0.0002685815,0.0001118433,0.00007486041,0.0001472608,0.0000459899,0.0001786197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003400555,"about_ca_system_score_gemma":0.00004553712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001989969,"about_ca_topic_score_gemma":0.000002810398,"domain_scores_codex":[0.9983591,0.0001009532,0.0005938913,0.0003776761,0.0002563681,0.0003119741],"domain_scores_gemma":[0.9987805,0.0002036469,0.0003687926,0.0005090121,0.00006173865,0.00007632145],"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":[0.000240659,0.0001160415,0.00003738342,0.0004918718,0.000009950946,0.00002327582,0.0000991401,0.0001180982,0.9983763,0.00003507698,0.0003586836,0.00009349068],"study_design_scores_gemma":[0.0005087336,0.00004637138,0.0003591369,0.0001707878,0.0000262218,0.00002611046,0.00003887069,0.00003792323,0.9980916,0.0001252516,0.0003882713,0.0001806745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984044,0.00001176934,0.000008974074,0.00009956249,0.0002468217,0.0002352193,0.0004113408,0.0001699306,0.000411966],"genre_scores_gemma":[0.9991066,0.00001125257,0.0004225714,0.00001512288,0.00008687517,0.00004807484,0.0000628138,0.00002930226,0.0002173796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007021918,"threshold_uncertainty_score":0.8665871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275586171562961,"score_gpt":0.2441976128926225,"score_spread":0.2314417511769928,"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."}}