{"id":"W4406913845","doi":"10.1038/s41598-025-88149-3","title":"Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Collision avoidance; Natural (archaeology); Collision; Computer science; Physical medicine and rehabilitation; Medicine; Biology; Computer security","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":[0.0002813455,0.0003948908,0.0002222124,0.0005771517,0.0002485152,0.0005521796,0.0001377619,0.0002932758,0.001120003],"category_scores_gemma":[0.003090836,0.0001941287,0.0002246859,0.0003285552,0.0002341608,0.0003611123,0.0003261294,0.0003333033,0.000218463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835924,"about_ca_system_score_gemma":0.0003949531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006911597,"about_ca_topic_score_gemma":0.01422756,"domain_scores_codex":[0.9998374,0.00003807362,0.00001108165,0.00004832767,0.00003025105,0.00003477312],"domain_scores_gemma":[0.9991692,0.0003938441,0.0001896426,0.00003892982,0.0001202245,0.00008819695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004160574,0.0002538333,0.9059957,0.0001798724,0.0001372677,0.000345814,0.001452996,0.01203341,0.02969023,0.0004173776,0.0008421536,0.04823537],"study_design_scores_gemma":[0.000004940937,0.0001396672,0.9354447,0.00003272595,0.00005270042,0.0002283376,0.001049785,0.0588991,0.002700471,0.0007320787,0.0006843897,0.00003114601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915125,0.00007352668,0.007436697,0.00004394316,0.000007416426,0.00002269526,0.0001763951,0.00004482533,0.0006819922],"genre_scores_gemma":[0.9957177,0.0000545984,0.003684018,0.00001063984,0.000002887632,0.00001313488,0.0002532318,0.000009370841,0.0002544463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006911597,"threshold_uncertainty_score":0.01374274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289981518492029,"score_gpt":0.2439677575497623,"score_spread":0.231067942364842,"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."}}