{"id":"W2588576771","doi":"10.1109/allerton.2016.7852337","title":"Anytime coding for distributed computation","year":2016,"lang":"en","type":"article","venue":"","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Matrix multiplication; Computation; Coding (social sciences); Theoretical computer science; Distributed computing; Latency (audio); Parallel computing; Algorithm; Mathematics","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":[0.0001044229,0.00005599808,0.00006135096,0.00005490288,0.00005613345,0.00004532231,0.0002314537,0.00002376549,0.00001054316],"category_scores_gemma":[0.00009916438,0.00003705685,0.00002673818,0.0001450856,0.00001695797,0.000260576,0.00005492393,0.00001002375,0.00001379932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003643908,"about_ca_system_score_gemma":0.00001481867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001071334,"about_ca_topic_score_gemma":2.024356e-7,"domain_scores_codex":[0.9994853,0.00000891597,0.0001170804,0.0001765164,0.00008537597,0.0001268248],"domain_scores_gemma":[0.9994599,0.0002033494,0.00004533448,0.0001408358,0.000111783,0.00003883541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003944966,0.00002572569,0.00007821764,0.000004701474,0.000007391201,4.343207e-7,0.00004065185,0.000235825,0.00335311,0.932003,0.01783248,0.04641447],"study_design_scores_gemma":[0.0008586466,0.0001580073,0.0004242345,0.00003742757,0.00000424856,0.000006869255,0.0000043434,0.861374,0.0353295,0.0997818,0.001786266,0.0002346564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006439385,0.000002876836,0.9968102,0.001669309,0.0001149334,0.0002155922,0.000009508362,0.000648272,0.0004649065],"genre_scores_gemma":[0.3189384,0.000001188354,0.6807306,0.00009889933,0.00001497154,0.00003322622,0.00000650132,0.000003987738,0.0001721954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8611382,"threshold_uncertainty_score":0.1511134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263475676915671,"score_gpt":0.2664820547924679,"score_spread":0.2438472980233112,"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."}}