{"id":"W2123255899","doi":"10.1080/09332480.2001.10542284","title":"On the Edge: Statistics & Computing","year":2001,"lang":"en","type":"article","venue":"CHANCE","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Computational statistics; Enhanced Data Rates for GSM Evolution; Statistics; Mathematics; Artificial intelligence","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":[0.0001289524,0.0000518019,0.00004409274,0.00001281259,0.0001866428,0.00009420246,0.0005990253,0.00001182652,0.00001574909],"category_scores_gemma":[0.0000477537,0.00003678759,0.00000959629,0.0002091428,0.00002778898,0.00005855837,0.0001127272,0.00007626606,0.0004044906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009853996,"about_ca_system_score_gemma":0.00001253767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006871359,"about_ca_topic_score_gemma":0.000004155209,"domain_scores_codex":[0.9995138,0.00001275952,0.00007197013,0.0001678901,0.0001008012,0.000132803],"domain_scores_gemma":[0.9992196,0.0001962153,0.00003843288,0.0004871098,0.0000304835,0.00002815561],"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":[3.972664e-7,0.0000279426,0.00002757349,0.00000156942,0.000002492717,0.000002183016,0.0003346099,0.00005088546,0.00006270372,0.6752393,0.05365121,0.2705992],"study_design_scores_gemma":[0.0001442083,0.00003956405,0.002944028,0.0000445608,0.00000258833,0.00002212055,0.00002916099,0.5051267,0.0003316936,0.04233326,0.448743,0.00023916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005872739,0.00003017128,0.9892631,0.002269999,0.0001572334,0.00005444482,0.0000129338,0.00006802818,0.002271349],"genre_scores_gemma":[0.3508874,0.00006507713,0.6407531,0.004033259,0.0003698367,0.00003085494,0.00002677306,0.00001393974,0.00381977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.632906,"threshold_uncertainty_score":0.5199043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04397246498573638,"score_gpt":0.2906903123048136,"score_spread":0.2467178473190772,"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."}}