{"id":"W4391644257","doi":"10.3390/su16041444","title":"Sustainable Production of Ultrathin Ge Freestanding Membranes","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Institut National des Sciences Appliquées de Lyon; Centre National de la Recherche Scientifique; Fonds de recherche du Québec – Nature et technologies; Umicore; Université Grenoble Alpes; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Mitacs; Indian National Science Academy","keywords":"Wafer; Substrate (aquarium); Fabrication; Materials science; Reuse; Nanotechnology; Etching (microfabrication); Isotropic etching; Polishing; Optoelectronics; Process engineering; Layer (electronics); Engineering; Metallurgy; Waste management","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":[0.0001844218,0.0004095832,0.0002129255,0.0003107509,0.0001769028,0.000327142,0.0003549923,0.0005210779,0.000776243],"category_scores_gemma":[0.0002394582,0.0001764846,0.0003442007,0.0002450403,0.0001534026,0.0004847435,0.0005303483,0.0003873753,0.0004948761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305092,"about_ca_system_score_gemma":0.0001897467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002191945,"about_ca_topic_score_gemma":0.0005351456,"domain_scores_codex":[0.9998573,0.000009897528,0.000009842211,0.00003210958,0.00007014387,0.00002072551],"domain_scores_gemma":[0.9999245,0.00001184435,0.00002210688,0.0000182825,0.00001406818,0.000009224758],"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":[0.000008046321,0.000005542885,0.0001119989,0.00007109558,0.000008741265,0.00009794642,0.00001422976,0.000301609,0.9944628,0.0005023678,0.00009304332,0.00432246],"study_design_scores_gemma":[0.000002275926,0.00003615981,0.000366725,0.000008071937,0.000006711851,0.00009924644,0.00001187464,0.0008087603,0.9934514,0.0001366788,0.005068109,0.000004047569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165353,0.005523085,0.06845079,0.0002886329,0.0001345276,0.0000847472,0.001029107,0.0006595461,0.007294427],"genre_scores_gemma":[0.9283364,0.003314438,0.06428114,0.00004195663,0.00001817565,0.00005779991,0.0007155479,0.00007081078,0.00316387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000776243,"threshold_uncertainty_score":0.002596736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005819358527064458,"score_gpt":0.2305462116735318,"score_spread":0.2247268531464673,"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."}}