{"id":"W6968432209","doi":"10.5281/zenodo.4028487","title":"DC2 demonstration cases related to flooding","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"European Commission","keywords":"Flooding (psychology); Flood myth; Hydrology (agriculture); Flood control","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001871209,0.00008126054,0.00007477024,0.00008477966,0.001199178,0.0007766029,0.0009232847,0.00002433608,0.0006354766],"category_scores_gemma":[0.0002453903,0.00009286753,0.00003293792,0.001003457,0.00002768435,0.0003067856,0.0007838209,0.0001246277,0.006909706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004131101,"about_ca_system_score_gemma":0.000004806375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003788549,"about_ca_topic_score_gemma":6.189593e-8,"domain_scores_codex":[0.9989526,0.000100487,0.0001792619,0.000353684,0.0002423473,0.0001715789],"domain_scores_gemma":[0.9991152,0.00003499181,0.00005455672,0.0002683185,0.0003071952,0.0002197575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001442898,0.00009298993,0.000003729446,0.00002059782,0.00002805842,0.00001667763,0.003209975,0.004627645,0.01294179,0.5773039,0.1024847,0.2992555],"study_design_scores_gemma":[0.0002560573,0.0002225056,0.0006495945,0.00001213253,0.000005756212,0.00009055733,0.00009275843,0.05796368,0.0008465822,0.005461297,0.9341788,0.0002203402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02492588,0.00002452311,0.8986267,0.01897051,0.00007536201,0.0005012051,0.00005795168,0.00160281,0.05521505],"genre_scores_gemma":[0.9925995,0.00000445118,0.00601773,0.000741864,0.00006793442,5.676004e-8,0.000266895,0.0002290236,0.00007250731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9676737,"threshold_uncertainty_score":0.9938635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04941272089104301,"score_gpt":0.2616028405277669,"score_spread":0.2121901196367239,"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."}}