{"id":"W7111420831","doi":"10.1190/tle-v30-n11","title":"The Leading Edge Digital Edition - [November 2011] (Volume 30, Issue 11)","year":2011,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Special section; Leading edge; Enhanced Data Rates for GSM Evolution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001108644,0.000194313,0.0003154348,0.00009480071,0.0007663567,0.0003547902,0.0005893129,0.00007692746,0.005826505],"category_scores_gemma":[0.0001375933,0.0001481547,0.0001563732,0.0001249976,0.0003678875,0.0005722044,0.0002166175,0.0001794199,0.2461368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448579,"about_ca_system_score_gemma":0.00001407935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008535318,"about_ca_topic_score_gemma":0.00002219597,"domain_scores_codex":[0.9985274,0.00001281151,0.0004554985,0.0004362806,0.00005411923,0.0005138901],"domain_scores_gemma":[0.9989779,0.00009427885,0.0002801315,0.0005355582,0.00004124826,0.0000708932],"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":[0.000008274676,0.00003194857,0.004608386,0.000006696803,0.00006723101,0.000001601817,0.002892213,0.000004477643,0.000003830568,0.04993668,0.9399661,0.002472496],"study_design_scores_gemma":[0.0001969443,0.00002227196,0.002601076,0.00001271953,0.00001062806,0.000003587091,0.0007583059,0.0003288691,0.00005058011,0.008775732,0.9870028,0.0002364174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01618655,0.001541545,0.0005222212,0.001071992,0.0104061,0.0002316342,0.0001855083,0.0001011291,0.9697533],"genre_scores_gemma":[0.481981,0.0001881254,0.00002959424,0.0002264732,0.0008891652,0.00002271135,0.000006078124,0.00002822155,0.5166286],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4657944,"threshold_uncertainty_score":0.9950823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06080780398801696,"score_gpt":0.2154852923950258,"score_spread":0.1546774884070088,"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."}}