{"id":"W4401724445","doi":"10.1126/sciadv.adl2013","title":"Narrative reversals and story success","year":2024,"lang":"en","type":"article","venue":"Science Advances","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Storytelling; Narrative; Plot (graphics); History; Valence (chemistry); Narrative structure; Narrative criticism; Emotional valence; Key (lock); Literature; Aesthetics; Computer science; Narrative inquiry; Epistemology; Cognitive psychology; Psychology; Art; Philosophy; Cognition; Mathematics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004888281,0.0000614559,0.0000755553,0.0001118136,0.0007082832,0.0002930738,0.0001423862,0.00000861397,0.0005104484],"category_scores_gemma":[0.00005816943,0.00004363648,0.000011924,0.00009921756,0.00175466,0.002124411,0.0000247976,0.00009862585,0.0000747324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002523521,"about_ca_system_score_gemma":0.0001829437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006143548,"about_ca_topic_score_gemma":0.0004227355,"domain_scores_codex":[0.999249,0.00001377511,0.00008114073,0.0002346259,0.0002212868,0.0002001509],"domain_scores_gemma":[0.9996843,0.00007777137,0.00002067254,0.00007934693,0.0000583791,0.00007956788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005196392,0.000009466739,0.0004261229,0.0001919571,0.000004040664,0.00001518192,0.45524,0.000005439084,0.001032361,0.4538222,0.002674256,0.08657384],"study_design_scores_gemma":[0.00003918316,0.00007245049,0.0002570385,0.0001240482,0.000003519283,0.000002591315,0.04578172,0.00003979662,0.0005966081,0.008115519,0.944855,0.0001124749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385936,0.01650533,0.000009591397,0.003145762,0.002533568,0.0001300722,0.00000789511,0.0001107945,0.03896337],"genre_scores_gemma":[0.9939277,0.0003180761,0.00009235898,0.0005786263,0.0003613036,0.00001146544,5.180844e-7,0.000003727995,0.004706208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9421808,"threshold_uncertainty_score":0.6465117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437049723369601,"score_gpt":0.3331963479611707,"score_spread":0.2988258507274747,"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."}}