{"id":"W2898622756","doi":"","title":"Report of Working Group 7 on key comparisons (13 May 2003)","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"German Economic Analysis & Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Key (lock); Computer science; Chemistry; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01423721,0.001288829,0.001895072,0.007973728,0.002237899,0.005908217,0.003711547,0.004853545,0.1732008],"category_scores_gemma":[0.0250057,0.0006638824,0.001630529,0.00938513,0.0006000646,0.004272056,0.00412587,0.003105946,0.1017015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004440961,"about_ca_system_score_gemma":0.01254215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117893,"about_ca_topic_score_gemma":0.0199608,"domain_scores_codex":[0.9916217,0.00162641,0.0007277758,0.0008944494,0.003841788,0.001287767],"domain_scores_gemma":[0.9714546,0.003342113,0.001944872,0.003829293,0.01656294,0.002866109],"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":[0.0007185654,0.0001020702,0.0008561228,0.000359918,0.00003129851,0.00003673264,0.00007998836,0.00010321,0.0003822083,0.00267465,0.973564,0.02109131],"study_design_scores_gemma":[0.0002955318,0.0002028335,0.01677214,0.0006004859,0.00009602671,0.00004248835,0.0004634402,0.0001641626,0.001961202,0.003984243,0.9753605,0.0000569687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01003999,0.006151073,0.006984858,0.01905936,0.02919425,0.005365416,0.5868237,0.001929029,0.3344524],"genre_scores_gemma":[0.03072397,0.005576356,0.01439569,0.009448175,0.004628966,0.007661453,0.3332343,0.002360251,0.5919709],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1732008,"threshold_uncertainty_score":0.5794142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05920874844664608,"score_gpt":0.2376298227119712,"score_spread":0.1784210742653251,"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."}}