{"id":"W4366990969","doi":"10.31234/osf.io/fy4kn","title":"A Practical Guide to EEG Hyperscanning in Joint Action Research: From Motivation to Implementation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation; Danmarks Tekniske Universitet; Danmarks Grundforskningsfond; Villum Fonden","keywords":"Interpretability; Psychology; Action (physics); Skepticism; Cognition; Cognitive psychology; Perspective (graphical); Cognitive science; Computer science; Artificial intelligence; Neuroscience; Epistemology","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":[0.0210833,0.002710367,0.001809487,0.004125026,0.00154799,0.004984821,0.004624579,0.009521199,0.04085391],"category_scores_gemma":[0.07481705,0.002330121,0.001285274,0.003327853,0.005861764,0.005933488,0.003643533,0.01092232,0.04856291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475708,"about_ca_system_score_gemma":0.004367399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003959382,"about_ca_topic_score_gemma":0.00947022,"domain_scores_codex":[0.9910131,0.005062808,0.0010654,0.0007112862,0.001977723,0.0001696602],"domain_scores_gemma":[0.9337094,0.04440014,0.001603858,0.00573707,0.01265046,0.00189906],"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":[0.0001453075,0.0002184454,0.0004876724,0.002080027,0.00005166783,0.0007917294,0.001921805,0.001674514,0.003030767,0.08278008,0.5813693,0.3254486],"study_design_scores_gemma":[0.00009981898,0.0001459017,0.0007461783,0.002099481,0.00001673171,0.0008039539,0.0006004391,0.002966154,0.001072109,0.1218312,0.8694851,0.0001329445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006439484,0.008150354,0.9229245,0.03106116,0.003070993,0.002582765,0.002861277,0.007811225,0.02089384],"genre_scores_gemma":[0.002596492,0.007128917,0.953573,0.009072187,0.001386457,0.005919565,0.0009407443,0.002027191,0.01735541],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04085391,"threshold_uncertainty_score":0.13667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6431694156699017,"score_gpt":0.5884765443002836,"score_spread":0.05469287136961809,"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."}}