{"id":"W6939108556","doi":"10.6068/dp16dbb96d45224","title":"TREND: United Nations Economic Commission for Europe. Macroeconomic Statistics [Archive]: Industrial Production | Country: Germany | Selection 1: Industrial Production index, growth rate, 1990 - 2008. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 054-001-017","year":2019,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commonwealth; Commission; Official statistics; Industrial production; International Standard Industrial Classification; Economic statistics; Economic data; Production (economics)","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":[0.001686431,0.001836256,0.001835829,0.006095337,0.0007140712,0.003717614,0.002122934,0.001223698,0.1259111],"category_scores_gemma":[0.01430886,0.0009913953,0.001037242,0.0224095,0.000299959,0.003221065,0.001719178,0.002711258,0.1844504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999818,"about_ca_system_score_gemma":0.004798422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04543982,"about_ca_topic_score_gemma":0.0322767,"domain_scores_codex":[0.9980322,0.0002566711,0.0003574853,0.0004261717,0.0006458603,0.0002815289],"domain_scores_gemma":[0.9914455,0.001332783,0.001145027,0.0008977414,0.004774296,0.0004046245],"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":[0.000009704945,0.000004350958,0.0002908093,0.0001322003,0.000005767861,0.000003757971,0.000005653238,0.00003697006,0.000007287631,0.0002264782,0.9981577,0.001119368],"study_design_scores_gemma":[0.00008241506,0.000009043409,0.006480861,0.0004015395,0.00001879646,0.00001610637,0.00007758114,0.0001114229,0.00007800982,0.0005912149,0.9921135,0.00001958343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004212838,0.0000375078,0.00004724071,0.00008442596,0.0000428141,0.00001602104,0.9985613,0.0000828491,0.001085731],"genre_scores_gemma":[0.000256715,0.0001244719,0.0002033178,0.00006346421,0.00002945719,0.0001540132,0.9974625,0.00009345356,0.001612506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8740889,"threshold_uncertainty_score":0.4212146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05760452584541809,"score_gpt":0.2823126829628624,"score_spread":0.2247081571174444,"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."}}