{"id":"W3210323664","doi":"10.1523/eneuro.0241-21.2021","title":"Accurate Localization of Linear Probe Electrode Arrays across Multiple Brains","year":2021,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; Searle Scholars Program; Howard Hughes Medical Institute; Robert and Janice McNair Foundation; Simons Foundation; Hospital for Sick Children; Wellcome Trust; National Institutes of Health; Government of Canada; Pew Charitable Trusts","keywords":"Electrode; Workflow; Electrophysiology; Computer science; Electrode array; Biomedical engineering; Semi automatic; Microscopy; Neuroscience; Artificial intelligence; Computer vision; Pattern recognition (psychology); Materials science; Physics; Optics; Biology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007706626,0.0001072197,0.0001258399,0.00002642728,0.0001503703,0.00003536826,0.0001235321,0.00004554695,0.00002940784],"category_scores_gemma":[0.001438959,0.0001021301,0.00006170915,0.0004455226,0.00004989258,0.0001453582,0.00007083022,0.0001292504,0.00002140732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001440347,"about_ca_system_score_gemma":0.00004309473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007475607,"about_ca_topic_score_gemma":0.0000379246,"domain_scores_codex":[0.9988611,0.0001149787,0.0002085044,0.0003699895,0.0001992013,0.000246164],"domain_scores_gemma":[0.9993223,0.0001990939,0.0001037953,0.0002471552,0.000079372,0.00004827285],"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":[0.00002366131,0.00007701765,0.000539777,0.00001978846,0.000001559418,0.00002762252,0.0001154339,0.008654828,0.9889237,0.0006788464,0.0001345484,0.0008031678],"study_design_scores_gemma":[0.0002673357,0.00007229178,0.0005840632,0.000007762073,0.000002912076,0.00002404955,0.00001203201,0.1408712,0.851369,0.0002784652,0.006418273,0.00009259386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162613,0.00001449253,0.08170857,0.0005962049,0.0005605896,0.0001738996,0.00004420996,0.00009944164,0.0005412601],"genre_scores_gemma":[0.9969805,0.00004654748,0.0001671632,0.001676408,0.00008235261,0.000007133716,0.00001918822,0.00002235041,0.0009983305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1375547,"threshold_uncertainty_score":0.4164745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206094987142852,"score_gpt":0.2853835032359093,"score_spread":0.2533225533644807,"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."}}