{"id":"W4393347537","doi":"10.2139/ssrn.4778803","title":"Post-Growth Tuning of Detachable Ge Membranes Adhesion Strength Via Porous Ge Transformation","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Transformation (genetics); Membrane; Materials science; Adhesion; Porosity; Chemical engineering; Nanotechnology; Composite material; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0000966132,0.0003096301,0.0002561686,0.000143136,0.000148669,0.0004165217,0.0003304068,0.0003749534,0.001568505],"category_scores_gemma":[0.0002955733,0.0001924439,0.0002087015,0.0001656213,0.0002465549,0.0004144504,0.0004619505,0.0005165457,0.000454692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000326037,"about_ca_system_score_gemma":0.000167809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006753638,"about_ca_topic_score_gemma":0.001247617,"domain_scores_codex":[0.9998866,0.000004357767,0.000004528898,0.00003418535,0.00003106918,0.00003915485],"domain_scores_gemma":[0.9998907,0.00003367379,0.00002684246,0.00001986949,0.00001625034,0.00001270074],"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":[0.00003311344,0.000006071405,0.00003685679,0.00001735958,0.000002436297,0.00002088026,0.00001660714,0.00007817255,0.998973,0.00009077968,0.00002757068,0.000697296],"study_design_scores_gemma":[0.000003898756,0.00002482246,0.0004260634,0.000001305611,0.000002447857,0.00001508718,0.00001210123,0.0005275581,0.9985555,0.00001991616,0.0004084999,0.000002684259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944541,0.0003086605,0.00286994,0.00005924139,0.00002910197,0.00001235301,0.0001637007,0.000153038,0.001949887],"genre_scores_gemma":[0.9973532,0.0001598306,0.001060432,0.00001485277,0.000004369278,0.000008971453,0.00008030114,0.00003347699,0.001284511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001568505,"threshold_uncertainty_score":0.005247116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00662314763975333,"score_gpt":0.2289580928294319,"score_spread":0.2223349451896786,"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."}}