{"id":"W6997149205","doi":"","title":"USING VARIATIONS TO THE TARGETED PREDICTORS APPROACH FOR FORECASTING CANADIAN GDP WITH AND WITHOUT US INDICATORS.","year":2022,"lang":"en","type":"dissertation","venue":"National University of Singapore","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Economic forecasting; Term (time); Measure (data warehouse)","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":[0.00227104,0.000964136,0.0007253343,0.001116418,0.001024498,0.001897967,0.001639004,0.0007283184,0.002430686],"category_scores_gemma":[0.006979919,0.0003238397,0.001002799,0.002406001,0.000371194,0.0006713971,0.0009028767,0.00192991,0.0005306972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006907848,"about_ca_system_score_gemma":0.01302228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9449473,"about_ca_topic_score_gemma":0.940788,"domain_scores_codex":[0.9994437,0.0001635562,0.00002241591,0.0001211226,0.0001087301,0.0001403732],"domain_scores_gemma":[0.998674,0.0004233292,0.00005655232,0.00008021065,0.0006458394,0.0001200492],"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":[0.001049474,0.0002715056,0.1156343,0.0001499105,0.000843216,0.0002314966,0.000364711,0.6310475,0.001411527,0.006578199,0.03019293,0.2122252],"study_design_scores_gemma":[0.00003876565,0.00005293253,0.02857721,0.00004119823,0.0001288201,0.00001274165,0.0004288064,0.965233,0.0005650211,0.001467405,0.003415157,0.00003887364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866226,0.003761201,0.07524446,0.003868007,0.0009773513,0.0002551556,0.01186847,0.001167358,0.01623539],"genre_scores_gemma":[0.9661542,0.0008825473,0.02010292,0.0002049863,0.0001094435,0.00008108443,0.006335788,0.00009702065,0.006032005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0550527,"threshold_uncertainty_score":0.1107538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599779281230304,"score_gpt":0.2547615328675125,"score_spread":0.2287637400552095,"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."}}