{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002499693,0.000216694,0.0002157218,0.0001113877,0.0001269131,0.0002537008,0.0002937602,0.000400483,0.002131556],"category_scores_gemma":[0.0005271462,0.000180225,0.0002377044,0.0000919311,0.00019393,0.0001951854,0.000127598,0.0003013426,0.0002597036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727747,"about_ca_system_score_gemma":0.0001563427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007017673,"about_ca_topic_score_gemma":0.0007403782,"domain_scores_codex":[0.9998059,0.00001912925,0.00001048063,0.00004865322,0.00005982914,0.00005600523],"domain_scores_gemma":[0.9996656,0.0002009802,0.00004246921,0.00003380423,0.00004118424,0.00001600498],"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":[0.0002130818,0.00001200636,0.00009228117,0.00004793584,0.000007674131,0.00005686227,0.0000327708,0.00005804779,0.9980651,0.00003899468,0.00005387618,0.001321309],"study_design_scores_gemma":[0.00000528973,0.00007198998,0.0007714157,0.00000199769,0.00000464142,0.00003670463,0.000008413092,0.0002571853,0.9985999,0.00000559954,0.0002347776,0.000002104922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951882,0.0008203493,0.00116079,0.00004929715,0.00004740453,0.00001128388,0.0001285355,0.00006051135,0.002533522],"genre_scores_gemma":[0.9967647,0.0003305888,0.0008752096,0.00004444422,0.00001526176,0.000008603794,0.0001299613,0.00002777916,0.001803667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002131556,"threshold_uncertainty_score":0.007130742,"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."}}