{"id":"W2921146147","doi":"10.1525/collabra.182","title":"Aspect and Narrative Event Segmentation","year":2019,"lang":"en","type":"article","venue":"Collabra Psychology","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Narrative; Event (particle physics); Duration (music); Context (archaeology); Task (project management); Linguistics; Cognition; Psychology; Segmentation; Computer science; Cognitive psychology; History; Artificial intelligence; Art; Literature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009201952,0.0003177862,0.0001808851,0.0008907774,0.0006996865,0.001977591,0.0002783872,0.0004941457,0.002793176],"category_scores_gemma":[0.00912215,0.0002571628,0.0003051324,0.0004687818,0.001173037,0.003938992,0.0009851407,0.000613101,0.0002639002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005305583,"about_ca_system_score_gemma":0.0003443397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000897844,"about_ca_topic_score_gemma":0.001174641,"domain_scores_codex":[0.9992729,0.0003653484,0.00004474081,0.0001264196,0.0001369313,0.00005368857],"domain_scores_gemma":[0.9953305,0.002475325,0.001234723,0.0002965947,0.0004403642,0.000222639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002676992,0.0002345627,0.120478,0.001620568,0.0002216525,0.0026049,0.2150201,0.002492932,0.1811672,0.1837102,0.00346249,0.2863105],"study_design_scores_gemma":[0.0001526601,0.001177498,0.5440949,0.001140405,0.0004157507,0.008025219,0.07884559,0.02231746,0.03666043,0.2017852,0.1050656,0.0003192616],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9159236,0.001798971,0.03537849,0.0005464972,0.00007611419,0.00005994068,0.0001918171,0.0001685468,0.04585605],"genre_scores_gemma":[0.9904099,0.0002561625,0.008236273,0.00005334377,0.000017852,0.0000126669,0.0001249384,0.00004521454,0.00084371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002793176,"threshold_uncertainty_score":0.009344041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764440956082336,"score_gpt":0.3446337440032178,"score_spread":0.3269893344423944,"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."}}