{"id":"W4402995051","doi":"10.3390/atmos15101168","title":"Assessing Downburst Kinematics Using Video Footage Analysis","year":2024,"lang":"en","type":"article","venue":"Atmosphere","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"John Abbott College; McGill University","funders":"","keywords":"Kinematics; Environmental science; Meteorology; Video recording; Computer science; Computer graphics (images); Geography; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001850328,0.0001320668,0.0001821372,0.000005355451,0.0001408799,0.0003381615,0.000138717,0.0001014544,0.008596789],"category_scores_gemma":[0.00001244336,0.00009339691,0.0001953542,0.001072721,0.00006634275,0.0003648268,0.0001203434,0.0001618329,0.0004415743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388208,"about_ca_system_score_gemma":0.00001382968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005066173,"about_ca_topic_score_gemma":0.0000900044,"domain_scores_codex":[0.9989791,0.0000269386,0.0002091027,0.0002856692,0.0002585411,0.0002406515],"domain_scores_gemma":[0.999584,0.00005078292,0.0000405594,0.0002383317,0.000004371955,0.00008199405],"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":[0.000009073765,0.0001113274,0.2155358,0.0001533706,0.001948883,0.0005805758,0.001511224,0.7034748,0.007454836,0.0006179626,0.00804044,0.06056171],"study_design_scores_gemma":[0.0001432913,0.00002302807,0.02813352,0.0001208548,0.001501831,0.00003003547,0.0004002506,0.9427067,0.0002729824,0.0007409967,0.02554796,0.0003785673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952051,0.0005362982,0.01536243,0.0001310692,0.0002571614,0.00007624675,0.000002465494,0.0001277,0.03145566],"genre_scores_gemma":[0.9860277,0.00003070373,0.0121507,0.00007383944,0.00006129898,0.000002102213,0.000005513442,0.00001970328,0.001628451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2392319,"threshold_uncertainty_score":0.9923095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474074739435965,"score_gpt":0.2748556947507637,"score_spread":0.260114947356404,"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."}}