{"id":"W4412346971","doi":"10.1162/jocn.a.75","title":"The Development of Event Segmentation: An Introduction to the Special Focus","year":2025,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Segmentation; Focus (optics); Psychology; Event (particle physics); Cognition; Curiosity; Cognitive psychology; Cognitive science; Cognitive development; Developmental psychology; Artificial intelligence; Neuroscience; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009923385,0.00006870668,0.00009612361,0.00009188523,0.0003770822,0.00004892078,0.0002849692,0.00001455396,0.00005115883],"category_scores_gemma":[0.0005154347,0.0000382148,0.00004083247,0.0003940076,0.0001114811,0.00008494561,0.0000519253,0.0001779389,0.0000106224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003523591,"about_ca_system_score_gemma":0.0002121207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.582562e-7,"about_ca_topic_score_gemma":0.0000147204,"domain_scores_codex":[0.9988325,0.0001623865,0.0003972257,0.0001551709,0.0003158436,0.0001368703],"domain_scores_gemma":[0.9991541,0.0001807565,0.0002597073,0.00008546723,0.0002737022,0.00004629242],"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":[0.000823045,0.0003966507,0.003402252,0.000004522393,0.00004352282,0.00001177073,0.01841063,0.000100279,0.01890999,0.007075757,0.009909759,0.9409118],"study_design_scores_gemma":[0.0004771035,0.0005517437,0.7980924,0.00006027421,0.00002214543,0.00004290918,0.004606566,0.00000768488,0.01452714,0.0002650755,0.1812666,0.00008037176],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518709,0.00009440909,0.01569227,0.02090462,0.006907261,0.0002966901,0.000002059132,0.00000632046,0.004225464],"genre_scores_gemma":[0.9969775,0.000006792264,0.0002858232,0.0006335311,0.001216206,0.000005279886,2.348312e-7,0.000003186085,0.0008714264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9408314,"threshold_uncertainty_score":0.290025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043765959443352,"score_gpt":0.3406879389073789,"score_spread":0.3202502793129454,"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."}}