{"id":"W4390992108","doi":"10.1109/bibm58861.2023.10385554","title":"Variational Autoencoder with Temporal Condition for Effective Shape-based Calcium Imaging Neuron Registration","year":2023,"lang":"en","type":"article","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Queen's University","funders":"","keywords":"Autoencoder; Artificial intelligence; Computer science; Calcium imaging; Computer vision; Pattern recognition (psychology); Calcium; Artificial neural network; Materials science","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":[0.001117605,0.000737222,0.000796703,0.0002915407,0.0002356797,0.000555463,0.0009891338,0.001170845,0.001053971],"category_scores_gemma":[0.002793781,0.0005126724,0.0008009833,0.0003708346,0.000657811,0.0008272175,0.001244366,0.001528058,0.0003293191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006687338,"about_ca_system_score_gemma":0.001258336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006122558,"about_ca_topic_score_gemma":0.006469822,"domain_scores_codex":[0.9996452,0.00008393285,0.00002563269,0.0001077369,0.00009425896,0.0000431922],"domain_scores_gemma":[0.9994355,0.0002844805,0.00005237557,0.00005840027,0.0001375263,0.00003164876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001194425,0.00004175214,0.0006174273,0.0000827108,0.0000644617,0.00008849101,0.0001014328,0.8754386,0.02185247,0.01581457,0.001018737,0.08475997],"study_design_scores_gemma":[0.000001560922,0.000007738753,0.00003956727,0.000001639259,0.000002331989,0.000006820307,0.000001619416,0.9979803,0.0009854422,0.0008232449,0.0001469944,0.000002710916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00945483,0.0001385382,0.9896108,0.00008292053,0.00002166594,0.00001719652,0.00003368541,0.0001913897,0.0004490185],"genre_scores_gemma":[0.5212915,0.0004968889,0.4710645,0.0002282962,0.00006676594,0.0001968713,0.0005039829,0.0002616591,0.005889599],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006122558,"threshold_uncertainty_score":0.01217383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008998219974730284,"score_gpt":0.2859874806051507,"score_spread":0.2769892606304205,"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."}}