{"id":"W6907837785","doi":"10.24433/co.572c4c71-c5c6-4230-b372-f901ea0b79e0","title":"Remote estimation of first-order autoregressive processes over i.i.d. packet drop channel over a finite horizon","year":2017,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Autoregressive model; Channel (broadcasting); Network packet; Drop (telecommunication); STAR model; Estimation theory; Process (computing)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002785682,0.0009850035,0.001147263,0.0007868504,0.0002204353,0.000156004,0.001028246,0.0009095969,0.001702273],"category_scores_gemma":[0.002757238,0.0009248318,0.0002003054,0.0004279026,0.0004965821,0.0003334621,0.0002796458,0.0004901591,0.001079416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070156,"about_ca_system_score_gemma":0.0004949467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004673611,"about_ca_topic_score_gemma":0.0022286,"domain_scores_codex":[0.9966161,0.00009562897,0.0005287452,0.001061184,0.0009982662,0.0007000653],"domain_scores_gemma":[0.9943275,0.0001811667,0.002834639,0.001962842,0.0004766683,0.0002171447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001463364,0.0001565848,0.0003397187,0.002790443,0.0003371352,0.00006080456,0.0005736015,0.0003717383,0.00002511764,0.00003519813,0.9932076,0.001955667],"study_design_scores_gemma":[0.003215871,0.0004396224,0.0008182077,0.01492376,0.0006561503,0.00001916186,0.00003662817,0.1048426,0.0005050955,0.001013297,0.8714361,0.002093577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004266414,0.01200837,0.01125314,0.0003036228,0.00340689,0.005904692,0.02004912,0.003970143,0.9388376],"genre_scores_gemma":[0.06642913,0.0009764046,0.003730313,0.00007000871,0.001713294,0.0000307568,0.002608884,0.005948513,0.9184927],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1217716,"threshold_uncertainty_score":0.9996983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058913179122928,"score_gpt":0.2896999720359023,"score_spread":0.269110840244673,"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."}}