{"id":"W2994730753","doi":"","title":"Preliminary Probabilistic Tsunami Hazard Assessment of Canadian Coastlines","year":2012,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Earthquake and Tsunami Effects","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hazard; Probabilistic logic; Hazard analysis; Geology; Geography; Statistics; Mathematics; Engineering","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":[0.0005610894,0.0002165328,0.0002554018,0.0002831803,0.00007679923,0.00002493281,0.0001512862,0.0001312048,0.000005255858],"category_scores_gemma":[0.0002168185,0.0002194721,0.00007001647,0.0002643999,0.00003988699,0.0001763027,0.0000180245,0.0002403272,0.0000511636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008557207,"about_ca_system_score_gemma":0.00009556585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0687211,"about_ca_topic_score_gemma":0.1869464,"domain_scores_codex":[0.9985676,0.00004159492,0.0003833157,0.00015375,0.0002194668,0.0006342602],"domain_scores_gemma":[0.998921,0.0002807837,0.0000797723,0.0002724775,0.0000683858,0.0003775967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001289291,0.0002150994,0.5747738,0.001447588,0.0001770354,0.00006901786,0.001170567,0.4048098,0.005971517,0.0005667541,0.003508827,0.00727709],"study_design_scores_gemma":[0.0002350462,0.00009976335,0.9841139,0.0003123207,0.00005569375,0.00002076792,0.0000728868,0.009819731,0.002063771,0.0000528116,0.002828039,0.0003252861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312369,0.00045799,0.00002084252,0.00004920334,0.0005359196,0.0002484286,0.00001400114,0.0001760392,0.06726062],"genre_scores_gemma":[0.9973382,0.00003460471,0.002204587,0.00003325699,0.0002188802,0.00002637018,0.00002640171,0.00005012427,0.00006759655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4093401,"threshold_uncertainty_score":0.9374804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613078398224902,"score_gpt":0.2411380924498445,"score_spread":0.2250073084675955,"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."}}