{"id":"W3121479933","doi":"10.2139/ssrn.2840552","title":"Super-resolution Estimation of Cyclic Arrival Rates","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Hong Kong University of Science and Technology; National Science Foundation","keywords":"Estimation; Statistics; Econometrics; Geodesy; Computer science; Mathematics; Geography; Economics","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":[0.0008741303,0.0001048298,0.0001254421,0.00013469,0.0001164598,0.00004645996,0.0006312893,0.00004357448,0.000003540449],"category_scores_gemma":[0.0002321444,0.00007192879,0.00005641962,0.0002140405,0.00006643147,0.00132375,0.00008024205,0.0003766632,0.00001146219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004601524,"about_ca_system_score_gemma":0.0007982505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000054127,"about_ca_topic_score_gemma":0.000009505811,"domain_scores_codex":[0.9982759,0.00006133195,0.0002637386,0.000178556,0.0002386043,0.000981861],"domain_scores_gemma":[0.99931,0.00006988892,0.0002070249,0.0002399068,0.0001295122,0.00004364962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001588059,0.00004404462,0.0002787442,0.00000633375,0.00002270427,0.000001516903,0.0000906302,0.00005945479,0.09749143,0.2958786,0.00006128292,0.6060494],"study_design_scores_gemma":[0.000309384,0.0002248312,0.000180162,0.00006936315,0.000005699405,0.0002921103,0.00002086018,0.01660213,0.04613322,0.9358979,0.0001402074,0.0001241643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01937612,0.0009930353,0.9779813,0.001286973,0.00007531517,0.0000526283,3.931837e-7,0.0001385095,0.00009567258],"genre_scores_gemma":[0.8269264,0.0007025496,0.1721198,0.00002324475,0.00004811015,0.000003412878,2.684716e-7,0.000008808456,0.0001674424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8075502,"threshold_uncertainty_score":0.2933171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007816771840659398,"score_gpt":0.2718435654662673,"score_spread":0.2640267936256079,"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."}}