{"id":"W4300812694","doi":"10.48550/arxiv.1710.11320","title":"Suspension and simple optical characterization of two-dimensional\\n membranes","year":2017,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Characterization (materials science); Materials science; Suspension (topology); Nanometre; Membrane; Optical microscope; Microscope; Nanotechnology; Optoelectronics; Clamping; Optics; Chemistry; Scanning electron microscope; Composite material; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000277099,0.0004906124,0.0006998255,0.0003292176,0.0003026643,0.00006376972,0.0006083493,0.0005176634,0.00004073333],"category_scores_gemma":[0.000125058,0.0005918544,0.0001718618,0.0001930589,0.0004109947,0.0002639192,0.001026142,0.0007257339,0.00002185107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239082,"about_ca_system_score_gemma":0.00009537462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001379492,"about_ca_topic_score_gemma":0.00001423757,"domain_scores_codex":[0.9980945,0.00006095623,0.0003711571,0.0008990032,0.00009241737,0.0004819516],"domain_scores_gemma":[0.998095,0.0001146109,0.0003683203,0.001085174,0.0002043621,0.0001325561],"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":[0.0000957154,0.00007329902,0.001444125,0.0006277459,0.0002225144,0.0001828788,0.00008725952,0.01955129,0.9616091,0.01285439,0.00003679989,0.003214852],"study_design_scores_gemma":[0.001716934,0.0001866499,0.00439682,0.0007464738,0.0005466435,0.00005866334,0.0001103909,0.0769892,0.9013561,0.01231892,0.0004856793,0.001087501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934177,0.0005296941,0.004532674,0.00009511686,0.0003158801,0.0003209797,0.00003843685,0.000323849,0.0004256374],"genre_scores_gemma":[0.9947427,0.004330941,0.0001694568,0.000009549645,0.000056531,5.98173e-7,0.0001035838,0.00005176789,0.0005349026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06025301,"threshold_uncertainty_score":0.9996533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03357709806347985,"score_gpt":0.183455850950182,"score_spread":0.1498787528867022,"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."}}