{"id":"W7055520740","doi":"","title":"Cutting edge issues in development: using markets for development? The potential of advanced market communities","year":2018,"lang":"en","type":"other","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Vertical integration; Productivity; Production (economics)","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006141366,0.0004368582,0.001020659,0.0010502,0.0006624195,0.0002503102,0.001412149,0.0001949753,0.0009883826],"category_scores_gemma":[0.0006498188,0.000369428,0.0001321324,0.0005304827,0.009188449,0.0006480232,0.0009429241,0.0005877553,0.000007096022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004888218,"about_ca_system_score_gemma":0.005619285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00233783,"about_ca_topic_score_gemma":0.0004129268,"domain_scores_codex":[0.9948556,0.0001508655,0.00142511,0.0007892981,0.0003543007,0.002424862],"domain_scores_gemma":[0.9961557,0.0007640854,0.0005216114,0.0006053539,0.0005965096,0.001356728],"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":[0.0002448146,0.0002819134,0.01041936,0.0002920702,0.00009774165,8.186998e-7,0.00015311,0.00006248995,0.0002363699,0.9787441,0.0006074788,0.008859742],"study_design_scores_gemma":[0.00855602,0.00132506,0.04430806,0.003361409,0.0001697564,0.00003163493,0.01538264,0.03874553,0.02370065,0.428336,0.4325365,0.003546712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8799008,0.0005797943,0.0001519458,0.0005880143,0.0003047259,0.0009764602,0.000961327,0.000009442951,0.1165276],"genre_scores_gemma":[0.9698792,0.0007273463,0.02188108,0.00007826911,0.0009555194,0.00004095354,0.00004538802,0.0001107841,0.00628147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5504081,"threshold_uncertainty_score":0.9999248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091474732681412,"score_gpt":0.3686746747197219,"score_spread":0.3277599273929078,"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."}}