{"id":"W4385751348","doi":"10.1177/17456916231188000","title":"An Active-Inference Approach to Second-Person Neuroscience","year":2023,"lang":"en","type":"review","venue":"Perspectives on Psychological Science","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada; Horizon 2020 Framework Programme; Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; European Commission; Wellcome Trust","keywords":"Social neuroscience; Psychology; Salience (neuroscience); Inference; Social cognition; Cognitive neuroscience; Cognitive science; Cultural neuroscience; Developmental cognitive neuroscience; Neuroscience; Cognitive psychology; Neural correlates of consciousness; Default mode network; Social relation; Cognition; Social psychology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567437,0.001307074,0.001388474,0.004182272,0.0006670449,0.002038887,0.002489388,0.003748582,0.002888065],"category_scores_gemma":[0.002684492,0.0004246993,0.0008171662,0.002754822,0.007000344,0.00448325,0.001623933,0.007059854,0.001780159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002864665,"about_ca_system_score_gemma":0.002404001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120727,"about_ca_topic_score_gemma":0.002923541,"domain_scores_codex":[0.9993855,0.0002143537,0.00006264422,0.000116942,0.0001864809,0.0000341405],"domain_scores_gemma":[0.9979835,0.001499404,0.00009069798,0.0001062984,0.0002321689,0.0000879495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006241936,0.00007348712,0.0002411883,0.01388776,0.0001831859,0.0003396474,0.0005217725,0.001080849,0.001008168,0.3146286,0.0470387,0.6209342],"study_design_scores_gemma":[0.00001538414,0.00005536699,0.0006943746,0.003890161,0.00006847992,0.001090831,0.0001262967,0.0003846109,0.0003580253,0.1388145,0.8544585,0.00004350109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001016786,0.9868727,0.004012297,0.00227617,0.000925824,0.00001140096,0.00001454285,0.00002528636,0.00576016],"genre_scores_gemma":[0.002871448,0.9897295,0.002122411,0.001799585,0.001543801,0.00004992539,0.00003327233,0.00001542023,0.001834659],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004182272,"threshold_uncertainty_score":0.02078468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3314403678216851,"score_gpt":0.5201481288775042,"score_spread":0.188707761055819,"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."}}