{"id":"W4416154568","doi":"10.48550/arxiv.2502.19434","title":"A Study of the Provincial Road Networks of Canada as Complex Networks","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complex network; Resilience (materials science); Complex system; Statistical analysis; Psychological resilience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002246282,0.0002956601,0.0006646278,0.0000668325,0.0001092355,0.00001282839,0.0007900491,0.0002429507,0.00007696472],"category_scores_gemma":[0.00007256962,0.0002323879,0.0002057042,0.0004279735,0.00008295404,0.00002719367,0.0005313344,0.0009187985,2.708061e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999203,"about_ca_system_score_gemma":0.0005743282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2963599,"about_ca_topic_score_gemma":0.6269189,"domain_scores_codex":[0.9982418,0.00013406,0.0006425416,0.0003207059,0.0003416061,0.0003192966],"domain_scores_gemma":[0.9985685,0.00008051494,0.0002041617,0.0009638661,0.0001285553,0.00005438227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000008986804,0.00003677918,0.2118762,0.0001153023,0.0002690406,0.000002358569,0.0002077225,0.786052,0.00001409149,0.00001200894,0.0005154684,0.000890045],"study_design_scores_gemma":[0.0002114721,0.00003561448,0.6858599,0.0001257836,0.0002706501,8.159905e-7,0.0004921956,0.3124315,0.0001361984,0.00005176914,0.0001423934,0.0002417248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945172,0.0001905151,0.00181105,0.00003425104,0.0008736249,0.0006340907,0.00002639421,0.00003767281,0.001875179],"genre_scores_gemma":[0.9995124,0.00001991349,0.00001932769,0.00004952411,0.0002145649,0.00003430539,0.0000151088,0.00001640607,0.0001184191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4739837,"threshold_uncertainty_score":0.9476504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147566487886581,"score_gpt":0.2344046555350867,"score_spread":0.2196480067464286,"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."}}