{"id":"W2187903705","doi":"10.4095/248196","title":"Halifax Harbour extreme water levels in the context of climate change: scenarios for a 100-year planning horizon","year":2009,"lang":"en","type":"report","venue":"","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Harbour; Flood myth; Context (archaeology); Climate change; Environmental science; Coastal flood; Seiche; Flooding (psychology); Sea level; Subsidence; Climatology; Geography; Hydrology (agriculture); Physical geography; Oceanography; Geology; Sea level rise; Structural basin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002001044,0.0003076635,0.000548713,0.000157715,0.0001265153,0.00008824607,0.000412368,0.0002180282,0.0003860354],"category_scores_gemma":[0.00004334111,0.0001707498,0.0001984317,0.0001195483,0.00003871278,0.000128841,0.00001556865,0.0002844765,0.00006535571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000117598,"about_ca_system_score_gemma":0.0001149879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204473,"about_ca_topic_score_gemma":0.005473712,"domain_scores_codex":[0.9974388,0.0000901959,0.0005120568,0.0003853115,0.0009516071,0.0006220274],"domain_scores_gemma":[0.999077,0.0000813574,0.0002271098,0.000333959,0.0002114335,0.00006912567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003924944,0.0003554334,0.401614,0.001620682,0.0002679219,0.0001456498,0.006757103,0.0002127719,0.0002986353,0.0002176176,0.01595516,0.5721625],"study_design_scores_gemma":[0.00225295,0.002077781,0.8086484,0.001288666,0.0002486351,0.00003830039,0.002276412,0.001068652,0.0005493559,0.002379184,0.1778152,0.001356463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6374459,0.006692268,0.0001928741,0.004288617,0.006513004,0.01250512,0.01038039,0.0001832282,0.3217987],"genre_scores_gemma":[0.9972786,0.0002058569,0.0001447115,0.0003125681,0.0004841376,0.00001556127,0.0009733234,0.00001003665,0.0005752179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5708061,"threshold_uncertainty_score":0.9945341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1702278105928361,"score_gpt":0.2992600505799323,"score_spread":0.1290322399870962,"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."}}