{"id":"W4391840683","doi":"10.1002/rob.22299","title":"Unmanned air/ground vehicle survey following a radiological dispersal event","year":2024,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"Natural Resources Canada","keywords":"Radiological weapon; Biological dispersal; Event (particle physics); Ground level; Environmental science; Remote sensing; Aeronautics; Aerospace engineering; Computer science; Meteorology; Engineering; Geography; Medicine; Physics; Civil engineering; Environmental health; Radiology; Ground floor","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":[0.000514725,0.00008134128,0.0001473162,0.00003513538,0.00005256223,0.00003939787,0.0001463466,0.00007163554,0.000466909],"category_scores_gemma":[0.0001107366,0.00005893606,0.000180464,0.0001400898,0.00003241709,0.0002159541,0.00002341791,0.0002767499,0.00005332529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074425,"about_ca_system_score_gemma":0.00001638323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004539253,"about_ca_topic_score_gemma":0.00007833421,"domain_scores_codex":[0.9991561,0.00009955132,0.0002481929,0.0001067252,0.0002500636,0.0001393444],"domain_scores_gemma":[0.999451,0.0003427443,0.00003635356,0.00006991729,0.00001110676,0.00008892462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005198735,0.0009488382,0.6642101,0.00007497572,0.001096201,0.003942609,0.004420859,0.1582508,0.01989827,0.005615334,0.03730517,0.1037169],"study_design_scores_gemma":[0.0007872056,0.0008583023,0.9629814,0.0000976594,0.0001165369,0.0001701596,0.0001921127,0.02734553,0.0009204453,0.0005615087,0.005687501,0.0002816437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8738927,0.0003643114,0.1182621,0.00400002,0.001415432,0.00007183214,0.000001725604,0.0000173327,0.001974476],"genre_scores_gemma":[0.9984591,0.00005011437,0.0005560674,0.0003651672,0.00009396958,4.017081e-7,8.59125e-7,0.000006817424,0.0004675008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2987712,"threshold_uncertainty_score":0.5112326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716662702714374,"score_gpt":0.2714604312074804,"score_spread":0.2542938041803366,"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."}}