{"id":"W2787814754","doi":"10.5821/dissertation-2117-113671","title":"Multiscale image analysis of calcium dynamics in cardiac myocytes","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Myocyte; Cardiac myocyte; Segmentation; Computer science; Calcium; Temporal resolution; Biomedical engineering; Neuroscience; Biological system; Artificial intelligence; Medicine; Biology; Physics; Cell biology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001695753,0.0001764592,0.000290318,0.0006356785,0.0001165088,0.0004916103,0.0002774064,0.0004021633,0.0007439312],"category_scores_gemma":[0.0005882196,0.0001151452,0.0003332978,0.0004037994,0.0002238313,0.0002462263,0.0002837483,0.0002878807,0.0001801829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002543113,"about_ca_system_score_gemma":0.0002767372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616008,"about_ca_topic_score_gemma":0.001124731,"domain_scores_codex":[0.9999324,0.000007409378,0.000002940644,0.00001881209,0.00002491821,0.00001342928],"domain_scores_gemma":[0.9999017,0.00003151302,0.00002019428,0.000008773278,0.00002545231,0.00001245425],"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":[0.0003093595,0.00009882665,0.004236202,0.0003894029,0.0001104114,0.0009412392,0.000457297,0.1966147,0.6343548,0.01612727,0.002789592,0.1435708],"study_design_scores_gemma":[0.00001179546,0.00005823656,0.01152941,0.00002147421,0.00002484193,0.0002593771,0.00006970814,0.9649929,0.01743118,0.003346743,0.00223019,0.00002424753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5279415,0.001580631,0.4654219,0.0004676666,0.00009084929,0.00008019157,0.0005120346,0.0006055117,0.003299785],"genre_scores_gemma":[0.8933105,0.001179384,0.1022509,0.00007679548,0.00008007872,0.00006276766,0.0004492896,0.0001118218,0.002478379],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001616008,"threshold_uncertainty_score":0.003213167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006830830739963357,"score_gpt":0.3286950052694285,"score_spread":0.3218641745294651,"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."}}