{"id":"W4409018123","doi":"10.4271/2025-01-8032","title":"Efficient Sidewalk Route Planning on Aerial Images with Cost-Based A* and Mini-Max Objective Function","year":2025,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Function (biology); Computer science; Computer vision; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008195733,0.0009037011,0.0009748377,0.0004916672,0.0006820719,0.0003769125,0.001332882,0.0006391567,0.00002414452],"category_scores_gemma":[0.0007708611,0.0007294831,0.0002373964,0.001427315,0.0009954799,0.0003444093,0.0005654957,0.001350446,0.0000415375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004516871,"about_ca_system_score_gemma":0.0003490183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000438095,"about_ca_topic_score_gemma":0.001219231,"domain_scores_codex":[0.9947223,0.0002317827,0.0008510889,0.001983892,0.001131549,0.00107941],"domain_scores_gemma":[0.996098,0.001358613,0.0003001085,0.001690293,0.000182447,0.0003705157],"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":[0.00240786,0.0008385495,0.0006364687,0.0000928474,0.0001521478,0.0003894362,0.0001354384,0.01759136,0.9404164,0.01873548,0.003548093,0.01505591],"study_design_scores_gemma":[0.002176,0.003725061,0.9866019,0.0009466029,0.0001145249,0.00008199731,0.0001186788,0.00006616244,0.0007054872,0.000889752,0.00366323,0.0009105442],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.800098,0.001457722,0.01059388,0.02402105,0.004375882,0.0089679,0.0002733626,0.01811499,0.1320972],"genre_scores_gemma":[0.9606435,0.00001177484,0.03537538,0.003040021,0.000118337,0.000417806,0.00002543299,0.00006495294,0.0003027846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9859655,"threshold_uncertainty_score":0.9995157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063897333292958,"score_gpt":0.2502346742156786,"score_spread":0.239595700882749,"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."}}