{"id":"W4399333446","doi":"10.22541/au.171748679.93192947/v1","title":"Packet reception algorithm for redundant data links in transport drones","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Drone; Computer science; Network packet; Software; Dual (grammatical number); Data processing; Real-time computing; Algorithm; Computer network; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001560603,0.0003834193,0.0004182337,0.000340268,0.00004787928,0.0002931656,0.003629445,0.0004217526,0.00006740963],"category_scores_gemma":[0.000009608143,0.0003619084,0.0001454342,0.000392426,0.00003542233,0.0002344958,0.004850203,0.0009945998,0.00009664957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002461172,"about_ca_system_score_gemma":0.0002708333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002763936,"about_ca_topic_score_gemma":0.0005282554,"domain_scores_codex":[0.9963101,0.00007669319,0.0006889974,0.002011684,0.0004359173,0.0004766304],"domain_scores_gemma":[0.9962076,0.00008224785,0.0001471313,0.003411554,0.00005252697,0.00009893452],"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":[0.000006717481,0.00009857382,0.00001290984,0.0004896483,0.0000833966,0.000102414,0.0001825529,0.003744112,0.000003742891,0.005288988,0.05311127,0.9368757],"study_design_scores_gemma":[0.0002691644,0.0000511969,0.0001355616,0.0003567984,0.00004843402,0.000002871798,0.00001985538,0.9186529,0.00007107535,0.02646581,0.05350682,0.0004195355],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004176272,0.0005075385,0.9873023,0.003866481,0.003523518,0.002162911,0.0002204983,0.0005132961,0.001485806],"genre_scores_gemma":[0.01808985,0.0008487576,0.9689585,0.00078583,0.0009155282,0.001222706,0.003482103,0.00008353709,0.005613184],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9364561,"threshold_uncertainty_score":0.9998833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05650727154093981,"score_gpt":0.3054793673849157,"score_spread":0.2489720958439758,"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."}}