{"id":"W2567139073","doi":"10.1080/09332480.2001.10542253","title":"On the Edge: Statistics &amp; Computing","year":2001,"lang":"en","type":"article","venue":"CHANCE","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009193068,0.00006769048,0.00005616894,0.00001998401,0.0001510629,0.0000571924,0.0004510329,0.00001411988,0.00005675133],"category_scores_gemma":[0.00008508001,0.00004712693,0.00002125312,0.0001404919,0.00002667594,0.0001023964,0.00008779462,0.0001107064,0.0008098426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000209727,"about_ca_system_score_gemma":0.00001247691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005934324,"about_ca_topic_score_gemma":0.000003746886,"domain_scores_codex":[0.9994533,0.00003077688,0.00007052128,0.0001617106,0.0001116652,0.000172021],"domain_scores_gemma":[0.9992917,0.0002677077,0.00004711376,0.0002926833,0.0000769205,0.00002393915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009826532,0.00005648372,0.0002020664,0.000004366813,0.00001322166,0.00001943106,0.001763164,0.00008112504,0.006606407,0.8911325,0.08959868,0.01051276],"study_design_scores_gemma":[0.00124889,0.0006056562,0.07057337,0.0004319457,0.00001914348,0.0001645003,0.000632597,0.2234178,0.07342315,0.1095978,0.5182973,0.001587884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03545904,0.00003344561,0.9508002,0.001351422,0.0005352983,0.00005817315,0.000003103107,0.0000130939,0.01174617],"genre_scores_gemma":[0.9902081,0.00001332523,0.003767299,0.004222668,0.0001071441,0.000002823904,0.000002558272,0.000004603471,0.001671477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.954749,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03400462124648552,"score_gpt":0.2902844776059227,"score_spread":0.2562798563594372,"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."}}