{"id":"W6962526448","doi":"10.17605/osf.io/6hn45","title":"Mouse Hippocampal Sharp Wave Ripple Dataset Curated From Public Neuropixels Datasets","year":2024,"lang":"en","type":"dataset","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field (mathematics); Coding (social sciences); Process (computing); Hippocampal formation; Code (set theory); Neural coding; Pattern recognition (psychology)","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.00544316,0.002020384,0.001920411,0.001794071,0.001826356,0.02808891,0.03935609,0.00140553,0.02115751],"category_scores_gemma":[0.01148193,0.001849114,0.0002243537,0.01222074,0.004016568,0.008812095,0.03202688,0.006528862,0.3320886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000960123,"about_ca_system_score_gemma":0.004837995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007375152,"about_ca_topic_score_gemma":0.001877805,"domain_scores_codex":[0.9817855,0.0008353325,0.001825063,0.00714767,0.005023051,0.00338337],"domain_scores_gemma":[0.9783808,0.001124321,0.001242133,0.01654297,0.0004558074,0.002253988],"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":[0.00008553945,0.0004208114,0.00001003669,0.00006986855,0.0001277764,0.0009933409,0.00005087119,0.000008771695,0.0004717063,0.0002200903,0.9968058,0.0007353354],"study_design_scores_gemma":[0.0004291344,0.0001336505,0.00003542129,0.0007650522,0.0003328433,0.00007500442,0.000090606,0.0004480253,0.0002400615,0.00372584,0.9915448,0.002179492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003002878,0.0003568304,0.00003646357,0.001073669,0.004930169,0.00282666,0.9899501,0.0003762707,0.0001495453],"genre_scores_gemma":[0.0001273809,0.0001777612,0.004916735,0.003446691,0.0010729,0.0003942591,0.9893605,0.0003702627,0.0001335678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3109311,"threshold_uncertainty_score":0.9998909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08843404381610145,"score_gpt":0.373483334409583,"score_spread":0.2850492905934816,"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."}}