{"id":"W4230916325","doi":"10.32920/ryerson.14660943","title":"Multimodal Automated Last-Mile Delivery System: Design and Application","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drone; Last mile (transportation); Hybrid system; Computer science; Food delivery; Robot; Delivery system; Mile; Simulation; Phase (matter); Transport engineering; Real-time computing; Engineering; Artificial intelligence; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002064272,0.0003356132,0.0002831484,0.0002701194,0.000262523,0.0005883721,0.000678708,0.0005756173,0.005322823],"category_scores_gemma":[0.0002756253,0.0001525516,0.0002045798,0.0002395818,0.0001712043,0.0003272856,0.0003695049,0.0001957794,0.0009729915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004647186,"about_ca_system_score_gemma":0.0004524975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224413,"about_ca_topic_score_gemma":0.001264228,"domain_scores_codex":[0.9998294,0.00003751498,0.000008173386,0.00003600583,0.00006483356,0.00002401469],"domain_scores_gemma":[0.9998593,0.00002170827,0.00001849772,0.00001633018,0.0000661393,0.00001799842],"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":[0.0006003876,0.0004300966,0.006543562,0.0009445347,0.00009383084,0.0008642483,0.0005033737,0.4664741,0.1952579,0.008748624,0.006071243,0.313468],"study_design_scores_gemma":[0.00007084673,0.001249837,0.003342778,0.00004019174,0.00005486973,0.0003655183,0.0001752457,0.9234044,0.04836078,0.0009785006,0.0219179,0.00003909775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3651309,0.0007801963,0.5983797,0.0004428925,0.0001143321,0.0009309105,0.0004562456,0.003906622,0.02985823],"genre_scores_gemma":[0.9303598,0.0002558373,0.05884174,0.0000453694,0.00001317744,0.0003427596,0.0001540468,0.00004836632,0.0099389],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005322823,"threshold_uncertainty_score":0.01780659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182395680581853,"score_gpt":0.2245282754831521,"score_spread":0.2127043186773335,"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."}}