{"id":"W4306642564","doi":"10.1073/pnas.2200257119","title":"Neural event segmentation of continuous experience in human infants","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; National Center for Advancing Translational Sciences; James S. McDonnell Foundation; National Science Foundation","keywords":"Segmentation; Event (particle physics); Perception; Cognition; Sensory system; Cognitive psychology; Psychology; Visual perception; Computer science; Artificial intelligence; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002628915,0.0001253961,0.0001895578,0.000224331,0.000128758,0.0005453863,0.0001537672,0.0002191976,0.0009574454],"category_scores_gemma":[0.002437626,0.0002454537,0.0001566443,0.0001734002,0.0004544166,0.0004683825,0.0004657215,0.0002762795,0.0001323748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189014,"about_ca_system_score_gemma":0.000212202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608108,"about_ca_topic_score_gemma":0.002015534,"domain_scores_codex":[0.9998552,0.00002888422,0.000005005099,0.00006028405,0.00003084983,0.00001974252],"domain_scores_gemma":[0.9995936,0.0001900747,0.00008619219,0.00004399358,0.00004036269,0.00004583085],"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":[0.0006623206,0.00006559839,0.08181258,0.0002864726,0.0001054813,0.001239832,0.004657138,0.007752169,0.7247819,0.007096573,0.0008690024,0.1706709],"study_design_scores_gemma":[0.0000100661,0.0001639666,0.9499024,0.00003835661,0.0000322697,0.0008348094,0.0004456985,0.02079114,0.02248731,0.004096864,0.001162106,0.00003493632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746369,0.0003202554,0.02249774,0.00006027161,0.000006425576,0.00001262315,0.0001640292,0.00008458186,0.002217171],"genre_scores_gemma":[0.9940369,0.0001484218,0.005246542,0.0000153077,0.000003374074,0.00001938371,0.0001238535,0.00002191854,0.0003844068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001608108,"threshold_uncertainty_score":0.003203034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06064625476124597,"score_gpt":0.3398288125206821,"score_spread":0.2791825577594362,"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."}}