{"id":"W4389871285","doi":"10.1098/rstb.2022.0425","title":"Surfing uncertainty with screams: predictive processing, error dynamics and horror films","year":2023,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Entertainment; Theme (computing); Content (measure theory); Dynamics (music); Psychology; Media content; Aesthetics; Social psychology; Cognitive psychology; Art; Computer science; Visual arts; Multimedia","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004372291,0.0001546322,0.0002154679,0.00003096058,0.001112478,0.00005025278,0.0004542603,0.0001230489,0.0001123122],"category_scores_gemma":[0.0001199031,0.00007492561,0.0002260247,0.00139348,0.003826879,0.00009351482,0.00004820499,0.0002748605,0.000005360961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002972031,"about_ca_system_score_gemma":0.00005227423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005018914,"about_ca_topic_score_gemma":0.000008819768,"domain_scores_codex":[0.9984094,0.0001460376,0.0002110936,0.0004970115,0.0004327071,0.0003037785],"domain_scores_gemma":[0.9994662,0.0001436705,0.0001040522,0.0001354591,0.0000433652,0.0001072907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001038397,0.003515372,0.09303387,0.0003933098,0.0002104172,0.0000243779,0.009799672,0.674306,0.05913904,0.04658996,0.000572964,0.1113766],"study_design_scores_gemma":[0.0002568362,0.0005441846,0.008926768,0.00005604858,0.00005051979,0.000009227599,0.001761152,0.9786322,0.0004757801,0.009043371,0.00003019673,0.0002137423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657575,0.00002833617,0.01469369,0.01793871,0.00005219131,0.0002255135,0.00008993435,0.0001898791,0.001024233],"genre_scores_gemma":[0.9987639,0.00008896611,0.0005169635,0.0004212611,0.00002103405,0.00002010743,0.000001849332,0.000005027089,0.0001608866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3043261,"threshold_uncertainty_score":0.9988841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06457080727196444,"score_gpt":0.2943280412189336,"score_spread":0.2297572339469691,"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."}}