{"id":"W2738571509","doi":"","title":"Handle with Care: Report on GDP for First Quarter","year":2017,"lang":"en","type":"article","venue":"The Regional Economist","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Real gross domestic product; Macroeconomics; History","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":[0.00123295,0.0006798539,0.0003664213,0.002425527,0.0005021749,0.001619558,0.0007514997,0.001110869,0.02619063],"category_scores_gemma":[0.01016743,0.0003099254,0.0006019068,0.004372525,0.0002192097,0.001422928,0.001367399,0.002573426,0.02028261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975483,"about_ca_system_score_gemma":0.003328983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08866087,"about_ca_topic_score_gemma":0.08957558,"domain_scores_codex":[0.9986992,0.00008971331,0.0001200255,0.0001018594,0.0006567382,0.0003325557],"domain_scores_gemma":[0.9934535,0.0004976143,0.001001877,0.0001932433,0.00377274,0.001080996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005329181,0.00001413588,0.005743647,0.00008930531,0.00001310378,0.00001519344,0.00002764068,0.00002721277,0.00004759775,0.0003714201,0.9794372,0.01416025],"study_design_scores_gemma":[0.0001046874,0.00007404223,0.182215,0.0004276028,0.00003878738,0.00008571937,0.0003915595,0.0001992117,0.0005502401,0.0005150771,0.8153638,0.00003421244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01867113,0.00831982,0.0006538939,0.08949325,0.006127938,0.0001740708,0.7990472,0.001935249,0.07557741],"genre_scores_gemma":[0.1138618,0.016455,0.002647504,0.03302816,0.004357,0.001122893,0.684173,0.001656359,0.1426983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08866087,"threshold_uncertainty_score":0.1762896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04795964557353194,"score_gpt":0.226578811965967,"score_spread":0.1786191663924351,"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."}}