{"id":"W4361188978","doi":"10.31234/osf.io/t2xrb","title":"Surfing Uncertainty with Screams: Predictive Processing, Error Dynamics and Horror Films","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Entertainment; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003341751,0.0003675848,0.0004795828,0.000170242,0.0004725429,0.0004296599,0.0002301354,0.0001882808,0.0007165508],"category_scores_gemma":[0.00004955361,0.0002578498,0.00005376195,0.00004249765,0.000525184,0.0001892884,0.0002834648,0.00072563,0.00004604592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058241,"about_ca_system_score_gemma":0.0006174992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0080519,"about_ca_topic_score_gemma":0.06069528,"domain_scores_codex":[0.998154,0.00004076451,0.0003710607,0.000629094,0.0003598641,0.0004452163],"domain_scores_gemma":[0.9988347,0.00009392374,0.0002613656,0.0003193193,0.000305187,0.0001854616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001083085,0.0005191393,0.03236894,0.01655636,0.0009298039,0.000253712,0.4631906,0.01053466,0.000003335764,0.3818605,0.06289403,0.02980583],"study_design_scores_gemma":[0.00205463,0.001810859,0.008347528,0.008688868,0.0006598165,0.00002395112,0.272023,0.6513542,0.00001052927,0.01963153,0.03228994,0.003105097],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7580805,0.001306346,0.002622241,0.007213303,0.003013185,0.004243387,0.002454982,0.002624752,0.2184413],"genre_scores_gemma":[0.9276037,0.0004799882,0.001723005,0.001543085,0.001225887,0.0005552974,0.001080996,0.0001794984,0.06560858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6408195,"threshold_uncertainty_score":0.9999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06542991415113976,"score_gpt":0.2900438753220635,"score_spread":0.2246139611709237,"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."}}