{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001096829,0.0008898777,0.0009763234,0.00261381,0.001770533,0.01335631,0.001029465,0.001848406,0.6890974],"category_scores_gemma":[0.007340898,0.0005623767,0.0005785501,0.007099786,0.0005610901,0.005775973,0.001849453,0.002336693,0.6092274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774592,"about_ca_system_score_gemma":0.005218975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008716022,"about_ca_topic_score_gemma":0.01846857,"domain_scores_codex":[0.9992521,0.00005476315,0.00005857561,0.00007395357,0.0004578634,0.0001025662],"domain_scores_gemma":[0.9936405,0.0009476017,0.0002136267,0.0004796742,0.003724192,0.0009943517],"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":[0.000007373144,0.000005823378,0.00003767215,0.00004649353,5.621721e-7,0.000009843594,0.000006094484,0.0000127279,0.00003261861,0.0004620705,0.9860646,0.01331417],"study_design_scores_gemma":[0.000004401836,0.000007732206,0.0004656101,0.0001114738,0.000001769369,0.00002474467,0.00003427677,0.00003338481,0.00009528657,0.0003330751,0.9988816,0.00000664537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007350167,0.003938901,0.001304325,0.01361544,0.0432107,0.0001325061,0.02911679,0.002824059,0.9051222],"genre_scores_gemma":[0.001088454,0.002578612,0.0004674898,0.001305535,0.001946067,0.00003371286,0.006326048,0.0007645453,0.9854896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6890974,"threshold_uncertainty_score":0.4434648,"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."}}