{"id":"W4411100376","doi":"10.1007/978-3-031-91578-9_1","title":"Electron microscopy image showing a detailed view of a surface with a textured, uneven pattern. The image highlights the fine structural details and variations in the surface morphology, typical of high-resolution electron microscopy. The grayscale tones emphasize the contrast between different areas, revealing intricate features and potential material composition differences. AirLetters A simple black and white symbol depicting a hand with three horizontal lines extending from the palm, representing a gesture or motion. The design is minimalistic and stylized. : An Open Vide A blue and white road sign with a red border, featuring a symbol of a bridge. The bridge icon is depicted in light blue against a white background, enclosed within a circular red border. The sign indicates the presence of a bridge or overpass. Dataset of Characters Drawn in the Air","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Surface (topology); Resolution (logic); Morphology (biology); Computer science; Image (mathematics); Mathematical morphology; Electron microscope; High resolution; Computer vision; Artificial intelligence; Microscopy; Image formation; Computer graphics (images); Optics; Image processing; Materials science; Physics; Geometry; Geology; Mathematics; Remote sensing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009636726,0.0004187091,0.0003553914,0.0009574849,0.0004301434,0.0004556989,0.0002402795,0.0007578795,0.04729685],"category_scores_gemma":[0.0001636693,0.000321115,0.0002146218,0.001001857,0.0001449715,0.0004370364,0.0002629586,0.000519759,0.01145979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030963,"about_ca_system_score_gemma":0.0002148673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143579,"about_ca_topic_score_gemma":0.004659511,"domain_scores_codex":[0.9999311,0.000001893154,0.00000301285,0.00002182181,0.00002971811,0.00001258044],"domain_scores_gemma":[0.9998528,0.00002792878,0.00001149391,0.00002852304,0.00005805768,0.00002130556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002911356,0.0001195923,0.004681439,0.001441789,0.0000679826,0.003618279,0.0002358302,0.002559355,0.6503882,0.00336083,0.1979066,0.135329],"study_design_scores_gemma":[0.00004559291,0.0002144298,0.09969798,0.0004189285,0.0001465827,0.01162745,0.0007271785,0.02096929,0.197296,0.0029845,0.6657435,0.0001286739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.3483281,0.01873726,0.1436716,0.004067155,0.002341657,0.0004100387,0.160356,0.02593326,0.296155],"genre_scores_gemma":[0.5238425,0.008578639,0.1359576,0.001327826,0.0003245853,0.0002534306,0.09979772,0.002390211,0.2275275],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9527031,"threshold_uncertainty_score":0.1582237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153091862685212,"score_gpt":0.2712221496279156,"score_spread":0.2559129633593944,"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."}}