{"id":"W2032964544","doi":"10.1364/oe.18.000877","title":"Multiplane imaging and three dimensional nanoscale particle tracking in biological microscopy","year":2010,"lang":"en","type":"article","venue":"Optics Express","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Science and Technology Facilities Council","keywords":"Optics; Microscope; Microscopy; Image resolution; Tracking (education); Image plane; Resolution (logic); Physics; Diffraction; Computer vision; Materials science; Computer science; Artificial intelligence; Image (mathematics)","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":[0.0003128379,0.0003462013,0.0003013274,0.0003047054,0.0002491375,0.0007149029,0.0004876381,0.0006787268,0.00127726],"category_scores_gemma":[0.000882434,0.0003757899,0.00023813,0.0005565367,0.001215299,0.0008444717,0.0009200023,0.0009230039,0.0005159171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326972,"about_ca_system_score_gemma":0.0002365994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005181844,"about_ca_topic_score_gemma":0.0006562321,"domain_scores_codex":[0.9996288,0.00007415719,0.00002017272,0.00008809232,0.0001689466,0.00001988548],"domain_scores_gemma":[0.999645,0.000173202,0.00006313495,0.00006581747,0.00003141954,0.0000213743],"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":[0.0001627693,0.00004560559,0.0005748323,0.0003668251,0.00001780273,0.000345861,0.0004016324,0.01600998,0.7246607,0.1380989,0.00106233,0.1182528],"study_design_scores_gemma":[0.00003428774,0.0003319644,0.001914219,0.00006510667,0.00002246112,0.002501336,0.00007860272,0.1514793,0.7181926,0.08587897,0.03935969,0.0001415417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07253677,0.005814206,0.9087507,0.0007359942,0.0001540221,0.00007206984,0.00008831513,0.000620663,0.01122736],"genre_scores_gemma":[0.3777997,0.003360095,0.612035,0.0003020513,0.0001193154,0.0001042562,0.0001177924,0.00009385238,0.006067901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00127726,"threshold_uncertainty_score":0.004272878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408501075348963,"score_gpt":0.2633562884891615,"score_spread":0.2492712777356719,"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."}}