{"id":"W4413049316","doi":"10.1088/2634-4505/adf87f","title":"Analyzing meteorological risks to highway infrastructure in Saskatchewan","year":2025,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Faculty of Graduate Studies and Research, University of Regina","keywords":"Environmental science; Transport engineering; Environmental planning; Environmental resource management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004003074,0.0004028927,0.0002102184,0.001683136,0.0006984497,0.001378675,0.0005068613,0.0002406023,0.001643833],"category_scores_gemma":[0.0009182662,0.0002139202,0.0004552465,0.003340639,0.0004534158,0.0003410856,0.0009337576,0.0002891537,0.0001905632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01085359,"about_ca_system_score_gemma":0.01062862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8959534,"about_ca_topic_score_gemma":0.9501615,"domain_scores_codex":[0.9997416,0.00005178919,0.00001797974,0.00003707325,0.00006426015,0.00008725822],"domain_scores_gemma":[0.9991615,0.0002245923,0.0001215035,0.00006918229,0.0003318199,0.00009143252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001419631,0.00009010139,0.8649017,0.00007822749,0.0003325101,0.0005928334,0.0006159532,0.09139495,0.002868597,0.001484236,0.001555838,0.03594308],"study_design_scores_gemma":[0.0000137403,0.0000431413,0.9332565,0.00004107113,0.00007665432,0.00007750999,0.003393991,0.05879546,0.001049765,0.0009671646,0.002240256,0.00004471693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936742,0.00006487201,0.0008742859,0.0000867802,0.000002877798,0.00004937015,0.00210808,0.00002139295,0.0031182],"genre_scores_gemma":[0.9964885,0.0001100614,0.000828243,0.00002230962,0.00000118794,0.00003462106,0.001190134,0.000004255197,0.001320773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1040466,"threshold_uncertainty_score":0.2093188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034133025989812,"score_gpt":0.2945574460500123,"score_spread":0.2842161157901142,"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."}}