{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008603132,0.001276883,0.0009075584,0.001461476,0.0006427563,0.001782357,0.002795715,0.0009644975,0.01701887],"category_scores_gemma":[0.001460948,0.001072861,0.0009088676,0.0009598571,0.0003709584,0.001225264,0.001222384,0.001876624,0.006696755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005356616,"about_ca_system_score_gemma":0.001080942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518893,"about_ca_topic_score_gemma":0.009424347,"domain_scores_codex":[0.9996845,0.00002883547,0.00003755622,0.00006743635,0.0001414694,0.0000402785],"domain_scores_gemma":[0.9994494,0.000241625,0.0000498502,0.0001105322,0.0001053008,0.00004323872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005467471,0.0001989753,0.003579548,0.002836283,0.0006126274,0.0007776207,0.00122859,0.01336903,0.291558,0.02760029,0.2399273,0.4177651],"study_design_scores_gemma":[0.000182871,0.0001011803,0.006473965,0.0003172878,0.0002326711,0.00145138,0.0002744206,0.2834148,0.2917169,0.03163023,0.3839317,0.0002725532],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004539458,0.0003914154,0.7977245,0.0001239002,0.00008372128,0.0001663939,0.008363361,0.1842892,0.004318069],"genre_scores_gemma":[0.02499799,0.0009168675,0.927116,0.0002916844,0.00003952538,0.001357859,0.0139257,0.02291411,0.008440246],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01701887,"threshold_uncertainty_score":0.05693382,"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."}}