{"id":"W4394404613","doi":"10.6084/m9.figshare.4737889","title":"Tsunamis generated by fast granular landslides: 3D experiments and empirical predictors","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Geology; Empirical research; Seismology; Geography; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152508,0.001866003,0.001136939,0.002130194,0.0006505033,0.001301533,0.002696211,0.001984292,0.005060594],"category_scores_gemma":[0.003144927,0.0004128912,0.001764078,0.002594976,0.0008035842,0.0008642903,0.001452909,0.001249964,0.005332544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167202,"about_ca_system_score_gemma":0.001029008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0367425,"about_ca_topic_score_gemma":0.0840221,"domain_scores_codex":[0.9993076,0.0001335368,0.00007664967,0.0001987823,0.000183836,0.00009966929],"domain_scores_gemma":[0.9988117,0.0004821995,0.00008191651,0.0003245003,0.0001898443,0.0001098487],"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":[0.001092512,0.001069673,0.03197363,0.00246836,0.000621437,0.0007930234,0.0002733876,0.05364498,0.001530143,0.001649488,0.8623107,0.04257254],"study_design_scores_gemma":[0.002651231,0.000761609,0.1403873,0.001021693,0.0005315405,0.001489971,0.001567468,0.2335827,0.006624134,0.007108387,0.6038235,0.0004504133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0354108,0.0008772397,0.00137522,0.0005530107,0.000225503,0.0001261395,0.956983,0.002934701,0.001514388],"genre_scores_gemma":[0.02320277,0.0001983882,0.003097607,0.00006207643,0.00002550101,0.0001667769,0.9724137,0.00008686278,0.0007463283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0367425,"threshold_uncertainty_score":0.07305729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264094092237381,"score_gpt":0.2833804796240648,"score_spread":0.260739538701691,"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."}}