{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001714686,0.0005227781,0.0004202526,0.001108148,0.0008173757,0.002789069,0.0006342512,0.000648742,0.00308534],"category_scores_gemma":[0.0217313,0.0005344358,0.0005051064,0.000708603,0.001459207,0.003698837,0.001485636,0.0007420512,0.0004288028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006442613,"about_ca_system_score_gemma":0.0006926279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002473621,"about_ca_topic_score_gemma":0.00306784,"domain_scores_codex":[0.9985963,0.0004079402,0.00006878078,0.0005338158,0.0002305931,0.000162613],"domain_scores_gemma":[0.9927406,0.003738893,0.00148761,0.0008341765,0.0007267939,0.0004720158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004504345,0.0006349228,0.114728,0.001406462,0.0004708854,0.00117265,0.01647319,0.01518317,0.5378081,0.0213935,0.00272989,0.2834948],"study_design_scores_gemma":[0.0001090457,0.001300478,0.7829097,0.0003408324,0.0004330837,0.0007212579,0.007917145,0.09497688,0.06857046,0.03519725,0.007185276,0.000338554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990938,0.0006506221,0.07802006,0.000322613,0.0001057177,0.0002603736,0.0004381107,0.0003813395,0.02072741],"genre_scores_gemma":[0.9812458,0.0001454242,0.01770355,0.00004836476,0.0000296409,0.00006590737,0.0002150916,0.00009798597,0.0004483746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00308534,"threshold_uncertainty_score":0.0103215,"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."}}