{"id":"W1921880905","doi":"10.1029/2003gc000637","title":"Numerical modeling of geophysical granular flows: 2. Computer simulations of plinian clouds and pyroclastic flows and surges","year":2004,"lang":"en","type":"article","venue":"Geochemistry Geophysics Geosystems","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Pyroclastic rock; Geophysics; Mass flux; Volcanology; Flow (mathematics); Plume; Petrology; Volcano; Mechanics; Geomorphology; Seismology; Meteorology; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009002542,0.0003104124,0.0006358006,0.00005218132,0.00007281811,0.00002706246,0.0001358042,0.0001739422,0.000004692577],"category_scores_gemma":[0.00001387237,0.0003272841,0.0001306605,0.000225465,0.00007316412,0.0001027286,0.00006255742,0.0002118842,0.000002872357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002621386,"about_ca_system_score_gemma":0.00003583309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000198983,"about_ca_topic_score_gemma":0.000006276707,"domain_scores_codex":[0.9985027,0.00001863079,0.0005590643,0.0003177327,0.0002712215,0.0003306181],"domain_scores_gemma":[0.9991881,0.000101401,0.00007567048,0.000347958,0.0001303587,0.0001564627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002180844,0.0001129466,0.0004984304,0.001614506,0.000124337,0.000007465884,0.0005844353,0.7442856,0.2519207,0.0002340019,0.000006801045,0.0005889729],"study_design_scores_gemma":[0.0008858257,0.00004432091,0.0001896772,0.0002305962,0.00007591833,0.00001437894,0.00004649227,0.9766299,0.02015772,0.001395246,0.00002538401,0.0003045666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484572,0.0005115544,0.05041574,0.000010756,0.0001750649,0.00015914,0.0001128299,0.00009800474,0.00005975334],"genre_scores_gemma":[0.9983975,0.00003164805,0.001134503,0.000003798223,0.0003002121,0.000009199804,0.00007914288,0.0000415355,0.000002481654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2323443,"threshold_uncertainty_score":0.9999179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007125204924825966,"score_gpt":0.1933363348638988,"score_spread":0.1862111299390728,"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."}}