{"id":"W2929958646","doi":"10.3390/s19071606","title":"Fast Volumetric Feedback under Microscope by Temporally Coded Exposure Camera","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Science and Technology Agency","keywords":"Lens (geology); Focus (optics); Computer science; Artificial intelligence; Optics; Microscope; Computer vision; Tracking (education); Brightness; Focal length; Camera lens; High-speed camera; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004096026,0.0005093793,0.0003161426,0.0002763157,0.0001760859,0.000347719,0.0007506898,0.0004610946,0.0009954429],"category_scores_gemma":[0.0007489671,0.0002295019,0.0001729082,0.00018469,0.000365116,0.0007650593,0.0008150334,0.0004495538,0.0001960093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166755,"about_ca_system_score_gemma":0.0004656508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458002,"about_ca_topic_score_gemma":0.001243992,"domain_scores_codex":[0.9996023,0.00003342075,0.00001053392,0.00008631263,0.0002124051,0.00005517621],"domain_scores_gemma":[0.9995756,0.00011764,0.00007760062,0.00004083124,0.0001412892,0.00004703485],"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":[0.00005725536,0.00001899119,0.0001626111,0.00005639577,0.000003038135,0.00006739385,0.00005792121,0.001117166,0.9862019,0.0005443423,0.0001964314,0.01151642],"study_design_scores_gemma":[0.0000437806,0.0003686484,0.0011174,0.00001401928,0.00001332232,0.0002440996,0.00003443261,0.05926747,0.9349444,0.0003201871,0.003582217,0.00005006496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5580887,0.001173148,0.4342696,0.0002810126,0.0002075053,0.0001835474,0.0001686817,0.001792255,0.003835535],"genre_scores_gemma":[0.8043845,0.0005357734,0.1909736,0.0001765298,0.00006214828,0.0001549148,0.00009661121,0.00009202518,0.003523804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001458002,"threshold_uncertainty_score":0.003748834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005997164075535386,"score_gpt":0.2166015250980347,"score_spread":0.2106043610224993,"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."}}