{"id":"W4404689057","doi":"10.1109/oceans55160.2024.10754304","title":"Towards Agile Oceanographic Target Tracking with a DGSPCMG Equipped CubeSat<sup>*</sup>","year":2024,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"CubeSat; Agile software development; Tracking (education); Computer science; Environmental science; Aeronautics; Aerospace engineering; Engineering; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002012331,0.0002200647,0.0002128206,0.0001934024,0.00008188646,0.0003265749,0.0003231521,0.0000878284,0.0003051647],"category_scores_gemma":[8.398729e-7,0.000167156,0.0001011359,0.0005343287,0.00003770605,0.0003067298,0.00005665798,0.0002523304,0.0001777084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004639856,"about_ca_system_score_gemma":0.00003051935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004981259,"about_ca_topic_score_gemma":0.00001580167,"domain_scores_codex":[0.9988691,0.00003712296,0.0002892401,0.0002265402,0.00023993,0.0003381261],"domain_scores_gemma":[0.9993529,0.00003586768,0.00001351073,0.0004466979,0.00004580737,0.0001052178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001481618,0.0005220602,0.0187549,0.006173197,0.004733535,0.0005161916,0.04990157,0.3322878,0.07738201,0.03390238,0.03265597,0.4430222],"study_design_scores_gemma":[0.0004207538,0.0001015185,0.0002355373,0.0003779739,0.00004716446,0.00009876127,0.001772628,0.5628033,0.01641756,0.000825411,0.4162715,0.0006278414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.532795,0.01270287,0.3234933,0.001210502,0.0002743411,0.000742382,0.0000378506,0.007123088,0.1216206],"genre_scores_gemma":[0.994032,0.0001651315,0.004577268,0.00007490044,0.0001111598,0.0000380817,0.00002122412,0.00007961893,0.0009006021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.461237,"threshold_uncertainty_score":0.6816424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603472481086883,"score_gpt":0.2210318061653261,"score_spread":0.2049970813544572,"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."}}