{"id":"W4408074342","doi":"10.1016/j.actpsy.2025.104863","title":"Constraints matter: Virtual pedestrians with mobility constraints affect individuals' avoidance behaviours","year":2025,"lang":"en","type":"article","venue":"Acta Psychologica","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affect (linguistics); Psychology; Cognitive psychology; Pedestrian; Communication; Transport engineering; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002795867,0.0002625758,0.0002647248,0.0001050743,0.0001025761,0.00007665929,0.0003194176,0.000199736,0.00120762],"category_scores_gemma":[0.00003932204,0.0002260124,0.00006816014,0.0002975663,0.0005667629,0.0001125818,0.00002987114,0.000387712,0.0001186326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006335183,"about_ca_system_score_gemma":0.00004018643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003379582,"about_ca_topic_score_gemma":0.00001543887,"domain_scores_codex":[0.998726,0.00007561328,0.000283979,0.0003824004,0.0001734841,0.0003585034],"domain_scores_gemma":[0.9992027,0.0001469655,0.00005449066,0.0004579808,0.00004125329,0.00009657747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001098225,0.0008538837,0.8988417,0.00009255629,0.0004048136,0.00007015001,0.0006967781,0.001838248,0.004643567,0.005884445,0.04077068,0.04579332],"study_design_scores_gemma":[0.001580937,0.000207491,0.995021,0.00009945837,0.00006949613,0.00005437456,0.0004625758,0.0003933932,0.0003383446,0.0003341993,0.0009756277,0.0004630452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315868,0.00003629443,0.009236461,0.0005012627,0.0003800926,0.0004055541,0.0001473031,0.0004360334,0.05727021],"genre_scores_gemma":[0.9979045,0.00002176951,0.0008107348,0.0007469905,0.00002030038,0.0000567209,0.00004181968,0.00002068069,0.0003764676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09617932,"threshold_uncertainty_score":0.9997054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116198894149921,"score_gpt":0.2691797281031418,"score_spread":0.2580177391616426,"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."}}