{"id":"W4416386449","doi":"10.1038/s41597-025-06115-0","title":"Mouse Hippocampal Sharp-Wave Ripple Dataset Curated From Public Neuropixels Datasets","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"CIHR Skin Research Training Centre; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Hippocampal formation; Task (project management); Hippocampus; Field (mathematics); Raw data; Electrophysiology; Process (computing)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001295754,0.001997332,0.001405101,0.004293144,0.0007681557,0.001192172,0.002323429,0.001401397,0.00826182],"category_scores_gemma":[0.003479778,0.0004663384,0.001618,0.003356621,0.0004560624,0.0009752621,0.002027011,0.001374393,0.01128512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000643774,"about_ca_system_score_gemma":0.001767896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004850112,"about_ca_topic_score_gemma":0.01078327,"domain_scores_codex":[0.999151,0.00007922521,0.0001471727,0.0002674488,0.0002516183,0.0001034941],"domain_scores_gemma":[0.9984574,0.0002793873,0.0002852375,0.0004589015,0.0003330623,0.0001861117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001484737,0.0002518927,0.01668293,0.005363944,0.0007511339,0.0008052206,0.0003102054,0.004226238,0.03760185,0.00284505,0.8971753,0.03250146],"study_design_scores_gemma":[0.0007449885,0.0004038587,0.07114983,0.0009086344,0.0007304461,0.001704715,0.0002458354,0.008233161,0.03182926,0.0065082,0.8772308,0.0003103098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006424546,0.0005340523,0.003689915,0.0001104384,0.00007754087,0.00007170667,0.9797844,0.008293653,0.001013745],"genre_scores_gemma":[0.003483444,0.0001752318,0.00372624,0.00006439626,0.00001258069,0.0002405075,0.9914373,0.0004880511,0.0003723153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00826182,"threshold_uncertainty_score":0.02763855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417533718031352,"score_gpt":0.3148659871587131,"score_spread":0.1731126153555779,"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."}}