{"id":"W4407694162","doi":"10.7554/elife.98522.3.sa0","title":"eLife Assessment: An adaptable, reusable, and light implant for chronic Neuropixels probes","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer 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":[0.001479753,0.000797431,0.0005306327,0.001412629,0.0003571917,0.001111338,0.001531477,0.001594736,0.003098565],"category_scores_gemma":[0.00145733,0.0004918259,0.0009111788,0.0003415092,0.0009840135,0.0013193,0.001048402,0.001789059,0.00123979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006861273,"about_ca_system_score_gemma":0.001034954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008924417,"about_ca_topic_score_gemma":0.001672659,"domain_scores_codex":[0.9991048,0.00005734022,0.00007039333,0.0001550399,0.0005249446,0.00008743714],"domain_scores_gemma":[0.999275,0.0001969548,0.0001920672,0.00009703332,0.0001478555,0.00009108841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009771987,0.0009905797,0.001627463,0.001082427,0.0001796295,0.001216504,0.0002421498,0.001406913,0.7970722,0.002995655,0.01094854,0.1812607],"study_design_scores_gemma":[0.001094856,0.01562245,0.01285489,0.0005687026,0.0007631719,0.01456263,0.0003234294,0.01351563,0.7161954,0.002576951,0.2215496,0.0003722887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3389076,0.01598984,0.5989204,0.004984714,0.004505277,0.002534023,0.001930991,0.008228957,0.02399824],"genre_scores_gemma":[0.610479,0.01032889,0.336012,0.004814079,0.0005418867,0.002466447,0.001673807,0.001009928,0.03267393],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003098565,"threshold_uncertainty_score":0.01036578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007606633964609,"score_gpt":0.3571739772526082,"score_spread":0.3070979109129621,"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."}}