{"id":"W3168885856","doi":"10.2139/ssrn.3836887","title":"CellExplorer, a Framework for Visualizing and Characterizing Single Neurons","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data science; Neuroscience; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278331,0.0001288175,0.0001475955,0.00004559156,0.0001654012,0.00009212083,0.000113691,0.000105384,0.000006555333],"category_scores_gemma":[0.0002304274,0.0001329966,0.0001397416,0.00008478933,0.00003202995,0.000008957797,0.00008569164,0.0004860556,0.000001034777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006331019,"about_ca_system_score_gemma":0.0003869563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002341052,"about_ca_topic_score_gemma":0.00003995968,"domain_scores_codex":[0.9984444,0.00005809985,0.0001901806,0.0002778048,0.00008317463,0.0009463547],"domain_scores_gemma":[0.9994973,0.00002535542,0.0001073396,0.0001957021,0.0001113614,0.00006296659],"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":[0.00003032228,0.00006131594,0.0001936294,0.000007576476,0.0001191567,0.000004827365,0.0000363314,8.735171e-7,0.9857903,0.004111947,0.0001470327,0.009496648],"study_design_scores_gemma":[0.0003480572,0.0005759614,0.00007347955,0.00002938819,0.00009179612,0.0006237972,0.0007054959,0.00004753982,0.9126598,0.04819588,0.03639514,0.0002536165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6269001,0.007185801,0.3649976,0.0005992756,0.00004784961,0.0001001044,0.000001673145,0.0000226583,0.0001448661],"genre_scores_gemma":[0.9811271,0.01073833,0.006246882,0.0006098333,0.0004987346,0.00001432307,0.00004010433,0.00004453387,0.0006801845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3587507,"threshold_uncertainty_score":0.5423444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125108460623542,"score_gpt":0.2823243492766009,"score_spread":0.2698135032142467,"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."}}