{"id":"W7094476402","doi":"","title":"Nowcasting Norway","year":2013,"lang":"en","type":"other","venue":"Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Benchmark (surveying); Bayesian probability; Dynamic factor; Quarter (Canadian coin); Bayesian inference; Consensus forecast","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":[],"consensus_categories":[],"category_scores_codex":[0.001595603,0.000663207,0.0003853898,0.0008629506,0.0002522382,0.001665937,0.0007796717,0.000644347,0.01218632],"category_scores_gemma":[0.004584813,0.000334386,0.0006768245,0.001146344,0.0002556006,0.001327391,0.0006774463,0.001023512,0.003242983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988885,"about_ca_system_score_gemma":0.002038173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1910163,"about_ca_topic_score_gemma":0.1915162,"domain_scores_codex":[0.9993099,0.0001118171,0.00003674948,0.0002316308,0.0002410934,0.00006881733],"domain_scores_gemma":[0.99861,0.0003474496,0.0002113775,0.0002940123,0.0004549224,0.00008225417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004979851,0.0001228339,0.09472983,0.0002567073,0.0002064671,0.0004304159,0.0004926297,0.5425092,0.00120109,0.02356452,0.2324568,0.1035314],"study_design_scores_gemma":[0.0001286706,0.000170496,0.07936826,0.0003230007,0.00009634247,0.0001496792,0.0009759789,0.5188319,0.005484892,0.02395838,0.370314,0.0001983103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3931973,0.002650687,0.06618731,0.008930405,0.004886607,0.0001827519,0.3956664,0.005012378,0.1232863],"genre_scores_gemma":[0.7632567,0.001612714,0.01596414,0.0003745933,0.000358784,0.0000853681,0.1761804,0.0009164623,0.04125078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1910163,"threshold_uncertainty_score":0.379809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024055457211532,"score_gpt":0.1936231054632594,"score_spread":0.1833825508911441,"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."}}