{"id":"W2884066197","doi":"10.1038/sdata.2018.129","title":"Leukocyte Tracking Database, a collection of immune cell tracks from intravital 2-photon microscopy videos","year":2018,"lang":"en","type":"article","venue":"Scientific Data","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"SystemsX.ch; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Ground truth; Computer science; Intravital microscopy; Visualization; Tracking (education); Benchmarking; Immune system; Artificial intelligence; Computer vision; Biology; In vivo; Immunology","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":[0.0007614147,0.001108006,0.001284387,0.004401272,0.0006859567,0.001595189,0.002000788,0.00166148,0.002777239],"category_scores_gemma":[0.002601141,0.0005958672,0.0007300225,0.003077666,0.0002450146,0.0007668213,0.001071978,0.001006899,0.002794197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007809019,"about_ca_system_score_gemma":0.001641744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00740443,"about_ca_topic_score_gemma":0.01506645,"domain_scores_codex":[0.9993414,0.00006045746,0.0001070349,0.0002162082,0.0002132524,0.00006161885],"domain_scores_gemma":[0.9986614,0.0003125417,0.00025451,0.0002755883,0.0003464774,0.0001494922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003123052,0.001317301,0.05553776,0.007500991,0.0008975299,0.002971451,0.0007722286,0.01873365,0.1985814,0.00428534,0.3261294,0.38015],"study_design_scores_gemma":[0.0005825451,0.001227167,0.1613185,0.001097666,0.0009855781,0.007891278,0.0008728715,0.1190461,0.1240674,0.005158333,0.5772436,0.0005089472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.147223,0.01125263,0.1637283,0.0005590811,0.0005134279,0.001543702,0.6375359,0.02950095,0.008142985],"genre_scores_gemma":[0.1086662,0.003799329,0.1251361,0.0002409655,0.00007884931,0.001463781,0.7563027,0.0007748991,0.003537229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00740443,"threshold_uncertainty_score":0.01472265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924483496951172,"score_gpt":0.2860738918427022,"score_spread":0.2568290568731904,"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."}}