{"id":"W2751966825","doi":"","title":"Robust Estimation of Neural Signals in Calcium Imaging","year":2017,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence; Calcium imaging; Minimax; Pattern recognition (psychology); Estimation; Convergence (economics); Machine learning; Calcium; Mathematics; Mathematical optimization; Chemistry","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":[0.002286854,0.0009018755,0.0008482852,0.000664159,0.0003107305,0.0007929478,0.0009619036,0.001189155,0.000802926],"category_scores_gemma":[0.01107725,0.0004929806,0.0006607113,0.0008258912,0.001264654,0.001632579,0.001406411,0.001554883,0.0003993709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006641349,"about_ca_system_score_gemma":0.0009707193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691037,"about_ca_topic_score_gemma":0.001511781,"domain_scores_codex":[0.9990922,0.0003733945,0.00005240739,0.0001719077,0.0002564876,0.00005358853],"domain_scores_gemma":[0.9974526,0.001745055,0.0003253566,0.0002209278,0.0002088816,0.00004715038],"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":[0.0001301494,0.00004805999,0.0006367372,0.000204686,0.00005162835,0.0001216626,0.00008488543,0.8289369,0.02060007,0.05092499,0.001870226,0.09639002],"study_design_scores_gemma":[0.00000589375,0.00002832377,0.0001804474,0.000009553572,0.000004433352,0.00003604899,0.00000629364,0.9833708,0.00328248,0.01246093,0.0006049246,0.000009953927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0042145,0.000134931,0.9950819,0.0001469853,0.000009407404,0.00001289461,0.00003148804,0.0001011601,0.0002667984],"genre_scores_gemma":[0.2846964,0.0008999016,0.7111585,0.0002370666,0.0001355059,0.0002115011,0.0004234806,0.0001419734,0.002095635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002286854,"threshold_uncertainty_score":0.0120942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120609839372435,"score_gpt":0.2724019457842065,"score_spread":0.2311958473904822,"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."}}