{"id":"W4415616585","doi":"10.1080/23249935.2025.2576088","title":"Planning for optimised local delivery using sidewalk robots and mothership vans","year":2025,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Drone; Key (lock); Telerobotics","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":[0.000272369,0.0002247506,0.0002605742,0.0006836965,0.0002795076,0.00003114901,0.0002502441,0.00009234924,0.000007464031],"category_scores_gemma":[0.00001992202,0.0002339947,0.00006648005,0.001497992,0.0003960654,0.0003207854,0.000004097107,0.0001440707,2.890616e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066783,"about_ca_system_score_gemma":0.00009969557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002321442,"about_ca_topic_score_gemma":0.000006975243,"domain_scores_codex":[0.9985477,0.000004314386,0.0003217932,0.0004221355,0.0002298625,0.000474199],"domain_scores_gemma":[0.9994246,0.0001144045,0.00003516746,0.0002035511,0.00008227517,0.0001400012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003505075,0.00001679185,0.001754339,0.0001346099,0.00001361401,0.000008892687,0.000225349,0.9926259,0.001132718,0.0004663105,0.000003709955,0.003582714],"study_design_scores_gemma":[0.001170015,0.00006017101,0.02190618,0.0001542175,0.0001702935,0.000005025358,0.0002078956,0.9588981,0.01542575,0.001039942,0.0004401671,0.0005222524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09520701,0.0005306323,0.9026787,0.0000185445,0.0001991398,0.0003184393,0.00002650041,0.0002806321,0.0007404314],"genre_scores_gemma":[0.8941911,0.00008301315,0.1055614,0.00004706445,0.00001429593,0.00001832931,0.00001458063,0.00002441683,0.00004570103],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7989842,"threshold_uncertainty_score":0.9542025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365965922037485,"score_gpt":0.2688239436432474,"score_spread":0.2451642844228726,"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."}}