{"id":"W6894064760","doi":"10.5281/zenodo.7502069","title":"Gamer in the scanner: imitation of human video gameplay and fMRI brain activity using artificial neural networks","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Video game; Imitation; Functional magnetic resonance imaging; Brain activity and meditation; Perception; Artificial neural network; Neural activity; Transfer of learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00116814,0.0000827513,0.0001073957,0.0001836655,0.0007489494,0.0001785229,0.0002427284,0.000043242,0.0015792],"category_scores_gemma":[0.0006883372,0.00007840976,0.00002910771,0.0006980571,0.0001927079,0.0001229741,0.0002831725,0.0002247671,0.0001149771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000031176,"about_ca_system_score_gemma":0.000001341679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001710584,"about_ca_topic_score_gemma":0.000006048144,"domain_scores_codex":[0.9983906,0.0007330276,0.0001923373,0.0002562727,0.000163447,0.0002643729],"domain_scores_gemma":[0.9992551,0.0002467904,0.00009324546,0.0002034526,0.0001609925,0.00004045968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004005149,0.0004990871,0.001095414,0.0001309206,0.00009450006,0.00008175745,0.03958703,0.002872258,0.04259795,0.02918794,0.04188259,0.84157],"study_design_scores_gemma":[0.004027898,0.002680427,0.5879793,0.0002836728,0.0001263087,0.0004694955,0.05822353,0.2583456,0.0009262498,0.008664309,0.0769711,0.001302053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880297,0.00002026653,0.0008265641,0.0008493738,0.0000635544,0.0002770535,0.00002793564,0.0001432443,0.009762372],"genre_scores_gemma":[0.9993174,0.000002812867,0.00001059316,0.00009728951,0.0001087198,7.103116e-8,0.0001306368,0.0002532223,0.00007921975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.840268,"threshold_uncertainty_score":0.9993335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115585037047331,"score_gpt":0.3386524504054066,"score_spread":0.2270939467006735,"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."}}