{"id":"W6893079538","doi":"10.5281/zenodo.15009241","title":"dtxe/moviEEG: v1","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; SickKids Foundation","funders":"","keywords":"Toolbox; Synchronization (alternating current); Action (physics); Noise (video); MATLAB","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003056584,0.0002024986,0.0002331622,0.0007515761,0.0008224216,0.001184813,0.002349277,0.0001459889,0.05757367],"category_scores_gemma":[0.000250529,0.0002114731,0.000118122,0.001031918,0.00008302725,0.0001438099,0.00176305,0.000297742,0.0454341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008212918,"about_ca_system_score_gemma":0.000009358165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003543431,"about_ca_topic_score_gemma":0.000001082274,"domain_scores_codex":[0.9981996,0.0002730805,0.0002094105,0.0006076482,0.000383084,0.0003272147],"domain_scores_gemma":[0.998573,0.00001559255,0.0001417236,0.0008166826,0.0002951278,0.000157863],"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":[0.000001423027,0.00004370416,9.169693e-8,0.00004874276,0.00005965633,0.00000923213,0.00005005182,0.00000252834,0.00004181551,0.01310722,0.7984101,0.1882254],"study_design_scores_gemma":[0.0002026144,0.00003602686,0.000005628004,0.0001068726,0.00001948017,0.00001679406,0.00002180795,0.0007542886,0.00005175116,0.0003429681,0.9982238,0.0002179029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[8.097241e-7,0.0001870924,0.14009,0.00108312,0.0001533237,0.0001984938,0.0001630625,0.001951087,0.856173],"genre_scores_gemma":[0.0006721536,0.0006192274,0.003151456,0.000689379,0.0002501947,4.707608e-8,0.001606449,0.004151791,0.9888593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1998137,"threshold_uncertainty_score":0.9998521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519881941230757,"score_gpt":0.2411056125819314,"score_spread":0.2159067931696238,"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."}}