{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002148529,0.0001481041,0.0002069582,0.0001279522,0.00007684522,0.00002113391,0.0001020438,0.000158327,0.01038778],"category_scores_gemma":[0.00001582098,0.0001371771,0.00004598626,0.0002340877,0.00007607504,0.00008160203,0.00002331113,0.0001413664,0.002059481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002604044,"about_ca_system_score_gemma":0.00001614926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002355757,"about_ca_topic_score_gemma":0.00004346515,"domain_scores_codex":[0.9987026,0.0002402655,0.0002188425,0.0004706675,0.0001093195,0.0002582479],"domain_scores_gemma":[0.9993618,0.00007336192,0.0001057155,0.0003292507,0.0000599283,0.00006999948],"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":[0.002788969,0.001690456,0.06015624,0.0001031098,0.001231307,0.0002900123,0.2179547,0.000004557131,0.07975792,0.1063417,0.1265662,0.4031149],"study_design_scores_gemma":[0.0196705,0.004317589,0.7401549,0.00007281734,0.0002519179,0.0009132149,0.1008936,0.00005262395,0.003091659,0.03886641,0.09015832,0.001556429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865907,0.000875396,0.000438036,0.0007113357,0.00223355,0.000487582,0.00001042046,0.00006416843,0.1292725],"genre_scores_gemma":[0.986721,0.00003287305,0.0002627575,0.002569146,0.0001599766,0.00009226255,0.00003718872,0.00002138284,0.01010341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6799987,"threshold_uncertainty_score":0.9987175,"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."}}