{"id":"W7162026245","doi":"10.82308/50120","title":"ArcGIS inventory analysis for risk assessment of road tunnels","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; Hazard; Vulnerability (computing); Vulnerability assessment; Natural hazard; Sampling (signal processing); Geographic information system; Hazard analysis","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":[0.0002481614,0.000224896,0.0005331172,0.0004490845,0.0000451317,0.00002499663,0.0001549345,0.0002490845,0.0002896411],"category_scores_gemma":[0.00006569153,0.0002121692,0.0005004167,0.000575864,0.00001366269,0.00007319301,0.000009096544,0.0002080752,0.00000187377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975087,"about_ca_system_score_gemma":0.00008907747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005072212,"about_ca_topic_score_gemma":0.001655918,"domain_scores_codex":[0.9988655,0.00002607544,0.000454948,0.0002337503,0.000204375,0.0002153864],"domain_scores_gemma":[0.9992025,0.00008528717,0.0001207593,0.0003380018,0.0001998392,0.00005355693],"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":[0.0001079263,0.0001990922,0.1674307,0.0128966,0.03258637,0.000006550132,0.005571115,0.6864197,0.001244224,0.006850964,0.02665415,0.06003261],"study_design_scores_gemma":[0.0003461789,0.00008525809,0.7167222,0.000029402,0.003070869,8.813566e-8,0.005958213,0.2475372,0.0007759957,0.023412,0.001496039,0.0005665096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8615678,0.0001911758,0.08873942,0.00001111025,0.001528091,0.0009990665,0.0001990484,0.0005897043,0.04617457],"genre_scores_gemma":[0.9872475,0.0001032331,0.001614615,0.00000466596,0.00007001797,0.0001237552,0.001906194,0.00005533183,0.008874637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5492915,"threshold_uncertainty_score":0.8652009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009715190057832007,"score_gpt":0.2827535263544572,"score_spread":0.2730383362966252,"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."}}