{"id":"W2159254868","doi":"10.1080/17470218.2014.964738","title":"Social event segmentation","year":2014,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Psychology; Cognitive psychology; Comprehension; Event (particle physics); Natural (archaeology); Cognition; Segmentation; Social perception; Social cognition; Social cue; Computer science; Artificial intelligence; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002550979,0.0003600468,0.0001442522,0.0005262902,0.0004310125,0.0008621752,0.0003325577,0.000483975,0.008333744],"category_scores_gemma":[0.002421766,0.0001285051,0.000265733,0.0002246071,0.0004111473,0.001182936,0.0008196017,0.0002785571,0.001029123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125196,"about_ca_system_score_gemma":0.0002267764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161086,"about_ca_topic_score_gemma":0.001301389,"domain_scores_codex":[0.9997343,0.00006080151,0.00001269305,0.0001050988,0.00004873635,0.0000382702],"domain_scores_gemma":[0.9993815,0.0002291681,0.0001131935,0.00009858419,0.0001051745,0.00007230211],"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":[0.001636353,0.0001465132,0.0353632,0.0006803599,0.0001316081,0.001070681,0.01181713,0.002610044,0.4843863,0.03907154,0.009996679,0.4130897],"study_design_scores_gemma":[0.00008057222,0.0007577109,0.5929269,0.0003058243,0.0001707286,0.002556526,0.01013419,0.05442053,0.1179602,0.1150535,0.1054404,0.0001929352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7630429,0.001108095,0.1383526,0.0006952965,0.0002291508,0.0002803922,0.001169062,0.001148096,0.09397445],"genre_scores_gemma":[0.9704226,0.0001907591,0.02388799,0.00007594078,0.00005413596,0.00006310685,0.0007259701,0.00009732807,0.004482118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008333744,"threshold_uncertainty_score":0.02787912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979232444382115,"score_gpt":0.4100776779001185,"score_spread":0.3502853534562974,"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."}}