{"id":"W4236684641","doi":"10.31234/osf.io/4jm3a","title":"Intentional binding as Bayesian cue combination: testing predictions with trait individual differences","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Pain Management and Placebo Effect","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dr Mortimer and Theresa Sackler Foundation; Fonds De La Recherche Scientifique - FNRS; Canadian Institute for Advanced Research","keywords":"Psychology; Action (physics); Outcome (game theory); Sense of agency; Trait; Cognitive psychology; Agency (philosophy); Social psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001417007,0.0003552926,0.0002754925,0.0004219405,0.0005310963,0.0005304965,0.0007163975,0.0001832464,0.001039646],"category_scores_gemma":[0.001938132,0.0002844075,0.00009115515,0.0004855763,0.0002973738,0.0002254529,0.0005974421,0.0006201639,0.0001382017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005894674,"about_ca_system_score_gemma":0.00014063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007988503,"about_ca_topic_score_gemma":0.00003528161,"domain_scores_codex":[0.9969711,0.0006998293,0.0003145503,0.0008429111,0.000809106,0.0003624907],"domain_scores_gemma":[0.9971465,0.002062562,0.0002663971,0.0003122594,0.00009622406,0.0001160206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005274013,0.002926681,0.7003362,0.002197726,0.00126507,0.0003829609,0.004014969,0.00217766,0.01064494,0.1890537,0.04102905,0.04544356],"study_design_scores_gemma":[0.005039869,0.003764241,0.4111058,0.004858945,0.00129786,0.0002924691,0.001199732,0.4592222,0.01177148,0.09303833,0.003761157,0.00464797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5399762,0.00001163908,0.1619442,0.001426097,0.002083631,0.002197211,0.0002344223,0.001206453,0.29092],"genre_scores_gemma":[0.9916476,0.000004681428,0.002084715,0.000249514,0.0002613128,0.0001743149,0.00012747,0.00002742149,0.005422977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4570445,"threshold_uncertainty_score":0.9999608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07528029297627606,"score_gpt":0.2845982273783318,"score_spread":0.2093179344020557,"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."}}