{"id":"W3189437992","doi":"","title":"SatCom Today in Canada: Significant Research: Overview of the Cospas-Sarsat Satellite System for Search and Rescue","year":2021,"lang":"en","type":"article","venue":"Online Journal of Space Communication","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Satellite; Communications satellite; Satellite system; Telecommunications; Search and rescue; Remote sensing; Geography; Computer science; Engineering; Global Positioning System; GNSS applications; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178585,0.00007641823,0.0002606995,0.0001269391,0.00005394882,0.00001373117,0.000434292,0.00006966588,0.000002977789],"category_scores_gemma":[0.0001983903,0.00006034152,0.00004439887,0.0004366756,0.00006978505,0.0000557628,0.0001283018,0.00056066,1.594302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005139427,"about_ca_system_score_gemma":0.0005879092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0381265,"about_ca_topic_score_gemma":0.5684755,"domain_scores_codex":[0.9988057,0.0002978026,0.0003884484,0.00006786488,0.0002648277,0.0001753534],"domain_scores_gemma":[0.9984996,0.0004090539,0.00006969619,0.0005682585,0.0004072234,0.00004621618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003988348,0.0005601589,0.07837113,0.005436879,0.000654442,0.0001413809,0.003705741,0.03209471,0.6955233,0.04464893,0.005984544,0.13248],"study_design_scores_gemma":[0.005502251,0.0004250975,0.348029,0.01028652,0.0001722854,0.0005980055,0.04491334,0.1090904,0.4214144,0.001769679,0.05705763,0.0007412807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947111,0.04234073,0.0002595484,0.00975058,0.0001074853,0.0002569405,0.00002282033,0.00001173749,0.0001391852],"genre_scores_gemma":[0.976715,0.01972227,0.00348163,0.00001160411,0.00001689577,0.000003249571,0.000004433397,0.00001559974,0.00002933211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.530349,"threshold_uncertainty_score":0.9682787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080828627983344,"score_gpt":0.3232310077733426,"score_spread":0.2151481449750082,"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."}}