{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005486029,0.002127278,0.0008728773,0.001150639,0.0003382855,0.001266488,0.002533502,0.001379779,0.3726175],"category_scores_gemma":[0.00246169,0.0007456356,0.0007426402,0.0010309,0.0002878749,0.001320522,0.001352506,0.001221463,0.1736605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004183749,"about_ca_system_score_gemma":0.0004944071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003757816,"about_ca_topic_score_gemma":0.007583756,"domain_scores_codex":[0.9997812,0.00003007486,0.0000226571,0.00005711093,0.00007779206,0.00003119766],"domain_scores_gemma":[0.9995806,0.0001637059,0.00002876659,0.00007180247,0.0001136535,0.00004157055],"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":[0.0001329573,0.00002610539,0.0001517849,0.0005885789,0.00005013395,0.0001085269,0.00005264259,0.002667647,0.003840934,0.002247035,0.9447021,0.04543157],"study_design_scores_gemma":[0.0004706792,0.000085038,0.00163481,0.0002410062,0.00005728384,0.0005838278,0.00003083096,0.06283984,0.01907438,0.01391932,0.9009214,0.000141589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001788714,0.0006144047,0.2316138,0.0004239544,0.0005424577,0.0002933349,0.2249791,0.4963131,0.04343123],"genre_scores_gemma":[0.03189737,0.001032458,0.1880857,0.001280198,0.0003096036,0.001973413,0.3935264,0.2893687,0.09252621],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3726175,"threshold_uncertainty_score":0.8948849,"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."}}