{"id":"W3190351869","doi":"","title":"Advancing Flood Characterization, Modeling, and Communication II","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting 2020","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Flood myth; Computer science; Geography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001116536,0.0009476655,0.0008996538,0.0007521065,0.0006651113,0.003215579,0.001348046,0.001134137,0.007360315],"category_scores_gemma":[0.003917852,0.0004713471,0.000611463,0.0007645441,0.0007366507,0.003362805,0.003043882,0.002335967,0.003388416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008505948,"about_ca_system_score_gemma":0.002172499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004599702,"about_ca_topic_score_gemma":0.003129903,"domain_scores_codex":[0.9993519,0.00011872,0.00002299427,0.0001177789,0.0003028006,0.00008579956],"domain_scores_gemma":[0.9985362,0.0003973315,0.00007039838,0.0003187378,0.0005151194,0.0001622309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002224464,0.0002047547,0.004633606,0.0003520249,0.00008387201,0.0001532295,0.0003608124,0.3515399,0.02842787,0.09739522,0.08425467,0.4323715],"study_design_scores_gemma":[0.00001902844,0.00005921118,0.001187101,0.00008390771,0.00002139368,0.00008513037,0.0001351483,0.8616345,0.01113129,0.05261163,0.07299405,0.00003760663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02438485,0.001998956,0.9250382,0.004509757,0.001419891,0.0001590026,0.001275333,0.006858344,0.03435562],"genre_scores_gemma":[0.4911769,0.005254325,0.4481198,0.001151628,0.001907933,0.0003448784,0.005564325,0.002546443,0.04393372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007360315,"threshold_uncertainty_score":0.02462268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353251711979027,"score_gpt":0.2369266588658,"score_spread":0.2233941417460097,"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."}}