{"id":"W4411506031","doi":"10.1016/j.trc.2025.105173","title":"The flexible park-and-loop routing problem","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Loop (graph theory); Routing (electronic design automation); Computer science; Computer network; Transport engineering; Engineering; Operations research; Mathematics","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":[0.002095053,0.0001735122,0.0001923997,0.0005195457,0.0008951562,0.0001863399,0.0005931968,0.0001711739,0.000008612933],"category_scores_gemma":[0.0003071391,0.0001379818,0.00004827304,0.001626318,0.0004676896,0.0001499899,0.00005034038,0.0008596283,0.00002746428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009324698,"about_ca_system_score_gemma":0.00006662797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001186101,"about_ca_topic_score_gemma":0.000352273,"domain_scores_codex":[0.9976914,0.00009617487,0.0004406148,0.0003300554,0.0006010132,0.0008407236],"domain_scores_gemma":[0.998535,0.0006525256,0.00002864066,0.000524419,0.0002187796,0.00004059155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001023976,0.00007332131,0.1219372,0.001849721,0.0006359197,0.0000577419,0.002008265,0.01166892,0.01457839,0.3550377,0.1131871,0.3788633],"study_design_scores_gemma":[0.0009239304,0.0001070859,0.02136176,0.001187401,0.00003102952,0.000002572669,0.01457058,0.02679476,0.06485105,0.02571515,0.8437828,0.0006718501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8999312,0.01581323,0.01160309,0.01786739,0.001083334,0.003580549,0.00003710436,0.01865355,0.03143056],"genre_scores_gemma":[0.9936944,0.002419198,0.0006194536,0.000005001027,0.00002418414,0.0006643842,0.00001042527,0.00003214473,0.002530789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7305957,"threshold_uncertainty_score":0.6884909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057208938099621,"score_gpt":0.3462026773020471,"score_spread":0.3056305879210509,"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."}}