{"id":"W4401549797","doi":"10.1016/j.jrmge.2024.08.001","title":"Quantification of uncertainties in back-analysis of radar-tracked rockfall trajectories","year":2024,"lang":"en","type":"article","venue":"Journal of Rock Mechanics and Geotechnical Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rocscience (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rockfall; Geology; Radar; Remote sensing; Computer science; Geotechnical engineering; Landslide; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004033496,0.00008355705,0.0003162992,0.000219942,0.0000120725,0.00001226447,0.0001114685,0.0001080402,0.00008628069],"category_scores_gemma":[0.00005272358,0.00006127662,0.0001517291,0.0007027563,0.000006574342,0.0001048382,0.0000472867,0.0002208087,9.600351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004459916,"about_ca_system_score_gemma":0.00001161628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004792978,"about_ca_topic_score_gemma":0.00001421846,"domain_scores_codex":[0.9990566,0.00001072166,0.0005045534,0.0001007464,0.0002236675,0.0001037336],"domain_scores_gemma":[0.9996502,0.0000755091,0.0001242875,0.00008587557,0.00001860702,0.0000455053],"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":[0.00002000687,0.00002652399,0.0000787018,0.0000619776,0.0001951387,0.000006762989,0.0001509704,0.9555376,0.04048431,0.002348175,0.00002313396,0.001066744],"study_design_scores_gemma":[0.0001435782,0.0001283858,0.001252106,0.0001549814,0.0003534864,0.00001797839,0.00007237205,0.9908563,0.004794453,0.000816574,0.001310673,0.00009903545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6073903,0.001956078,0.3901442,0.0001614169,0.0002248479,0.00007119353,0.000007816057,0.00001407394,0.00003008154],"genre_scores_gemma":[0.9982172,0.0007644484,0.0009678751,0.000002638059,0.00001200006,5.089412e-7,0.000001160148,0.00000729764,0.00002682414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.390827,"threshold_uncertainty_score":0.2498788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007330303024548481,"score_gpt":0.2143629519063848,"score_spread":0.2070326488818363,"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."}}