{"id":"W2893586385","doi":"10.1167/18.10.447","title":"The role of perceptual and contextual information in social event segmentation","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Event (particle physics); Perception; Social cue; Segmentation; Context (archaeology); Cognitive psychology; Parsing; Psychology; Social environment; Identification (biology); Contextual design; Computer science; Artificial intelligence; Object (grammar); Sociology; Geography","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":[0.001392359,0.00002428101,0.00007055366,0.00007575294,0.0002495262,0.00003538204,0.00005216182,0.00002341811,0.00002892506],"category_scores_gemma":[0.0001596137,0.0000160628,0.00003805566,0.0001280473,0.0001364084,0.0003570522,0.00001375108,0.00004930552,0.000001780574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003593553,"about_ca_system_score_gemma":0.00005911403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009194218,"about_ca_topic_score_gemma":0.000184037,"domain_scores_codex":[0.9991471,0.0002014013,0.0002799639,0.00002086216,0.0002992981,0.00005136108],"domain_scores_gemma":[0.9992633,0.0001820027,0.000266837,0.00001400533,0.0002534991,0.00002039734],"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":[0.00007715277,0.00002272041,0.002292944,0.00000123175,0.00001061726,1.25733e-7,0.03827159,0.00002702477,0.001238385,0.006167536,0.0002561489,0.9516345],"study_design_scores_gemma":[0.001308724,0.0008131562,0.6537021,0.00007044783,0.00005177119,0.000005486879,0.1512212,0.009501599,0.0006029855,0.05320105,0.1293878,0.0001335558],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954883,0.0001037409,0.002294631,0.0009052738,0.00009505974,0.0000400656,5.007648e-7,0.000001226507,0.001071201],"genre_scores_gemma":[0.9988366,0.0000551673,0.000848297,0.00002859954,0.0002102809,2.159558e-7,4.43266e-7,7.332635e-7,0.00001962372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.951501,"threshold_uncertainty_score":0.1919179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765240771001948,"score_gpt":0.387795642836906,"score_spread":0.3701432351268866,"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."}}