{"id":"W3022646542","doi":"","title":"Framework for National Flood Risk Assessment for Canada","year":2016,"lang":"en","type":"article","venue":"AGUFM","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Risk assessment; Computer science; Geography; Computer security","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025483,0.00009563269,0.00008468881,0.00001293696,0.0001635597,0.00001877469,0.0001769572,0.00003533462,0.001056643],"category_scores_gemma":[0.00009321843,0.00006538005,0.00005128949,0.00005409653,0.0000293293,0.000117152,0.0000790636,0.00003573088,0.00002374819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004424714,"about_ca_system_score_gemma":0.00008355006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03588627,"about_ca_topic_score_gemma":0.3128776,"domain_scores_codex":[0.9990237,0.00001469868,0.0001310664,0.0002420704,0.0003425366,0.0002458747],"domain_scores_gemma":[0.9994051,0.0003000663,0.00007548997,0.0001391877,0.00001708639,0.00006300513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006224728,0.0002505931,0.05909687,0.00003734099,0.0001870194,0.000002245516,0.00005666993,0.001568747,0.001820546,0.1352235,0.7072042,0.09449007],"study_design_scores_gemma":[0.0009492946,0.0001198806,0.06172961,0.00001599734,0.00003713547,2.692576e-7,0.00003208411,0.002465795,0.0006756796,0.1028157,0.8309278,0.0002307182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07231618,0.00002532393,0.8940782,0.009294929,0.001208988,0.001730586,0.0004394686,0.00006686522,0.02083946],"genre_scores_gemma":[0.8535413,0.00001962548,0.1404286,0.000709123,0.0001594868,0.0004223105,0.00001440974,0.00001589154,0.004689329],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7812251,"threshold_uncertainty_score":0.9998565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010634913188094,"score_gpt":0.2758921680367228,"score_spread":0.2652572548486288,"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."}}