{"id":"W6930627607","doi":"10.5281/zenodo.13863476","title":"Dataset for Enhancing stimulated Brillouin scattering in suspended silicon waveguides through subwavelength nanostructuration [Invited]","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"European Commission","keywords":"Brillouin scattering; Context (archaeology); Silicon; Scattering; Brillouin zone; Light scattering","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":[0.00118567,0.003236232,0.002431053,0.002844691,0.001140775,0.00292887,0.004195392,0.004585505,0.05284602],"category_scores_gemma":[0.005133263,0.0007852064,0.002240102,0.004603455,0.0005675395,0.001281522,0.002314559,0.002406291,0.06001322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166091,"about_ca_system_score_gemma":0.002371708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244879,"about_ca_topic_score_gemma":0.02664736,"domain_scores_codex":[0.9989777,0.0001731517,0.000115624,0.0003136126,0.0002744495,0.0001455113],"domain_scores_gemma":[0.998007,0.0008491937,0.0001823213,0.00037387,0.0004059864,0.0001818106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001679642,0.00006645416,0.0009848663,0.004587376,0.0001509863,0.00008204202,0.00003224362,0.001409052,0.0009276922,0.0009957944,0.9865675,0.004028079],"study_design_scores_gemma":[0.0006022058,0.0000485579,0.004997659,0.001036291,0.0001570399,0.0001492947,0.00007415488,0.001657558,0.001886834,0.003455859,0.985855,0.00007958814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001757381,0.0002909099,0.0001357597,0.00008667717,0.00002989022,0.00001347339,0.9983402,0.0004527131,0.000474489],"genre_scores_gemma":[0.0004744286,0.0001630847,0.0004731025,0.00005801298,0.000005625587,0.00009083836,0.9983706,0.00006631378,0.0002980879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05284602,"threshold_uncertainty_score":0.1767876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862034013606788,"score_gpt":0.2904020987060902,"score_spread":0.2617817585700223,"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."}}