{"id":"W2981951126","doi":"10.4095/226350","title":"Probabilistic method for seismic vulnerability ranking of canadian hydropower dams","year":2007,"lang":"en","type":"report","venue":"","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hydropower; Vulnerability (computing); Probabilistic logic; Ranking (information retrieval); Vulnerability assessment; Environmental science; Computer science; Statistics; Econometrics; Geography; Mathematics; Engineering; Artificial intelligence; Computer security; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002407868,0.001143157,0.0008521521,0.008641755,0.001471358,0.001756288,0.00177109,0.0006332048,0.006605342],"category_scores_gemma":[0.0150493,0.000490609,0.001012177,0.004964668,0.0006766907,0.0007835291,0.0009881393,0.001006221,0.0007749001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006063286,"about_ca_system_score_gemma":0.01209637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4072515,"about_ca_topic_score_gemma":0.4481643,"domain_scores_codex":[0.9971111,0.0005708476,0.0001279798,0.000338749,0.001523784,0.0003275461],"domain_scores_gemma":[0.9962403,0.001394708,0.000240529,0.0002070316,0.001785215,0.0001323016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001864704,0.0000583216,0.02096898,0.0003103518,0.0001844788,0.0002702015,0.0003988912,0.5670034,0.00285606,0.06037485,0.01614372,0.3312441],"study_design_scores_gemma":[0.00003377729,0.00004087871,0.01242988,0.00006313498,0.00004780883,0.0001715563,0.0001953304,0.9477957,0.001368904,0.02447537,0.01328331,0.00009432752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04078862,0.0004496008,0.9388221,0.0002526382,0.00006347445,0.0006436459,0.00487315,0.001410968,0.01269589],"genre_scores_gemma":[0.3662798,0.0004357342,0.6193676,0.00007062425,0.00005997313,0.0007952203,0.005993511,0.0001918939,0.006805656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5927485,"threshold_uncertainty_score":0.8097621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311690517320991,"score_gpt":0.3120469138978341,"score_spread":0.2789300087246242,"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."}}