{"id":"W7100812288","doi":"","title":"BOTH OR NONE? GRANGER CAUSALITY ANALYSIS ON OECD COUNTRIES","year":2016,"lang":"en","type":"article","venue":"","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Causality (physics); Granger causality; Autoregressive model; Wald test; Time series; Vector autoregression","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":[0.007148753,0.0002173081,0.0003935564,0.003358898,0.0008412941,0.001629885,0.000531406,0.001043411,0.004946828],"category_scores_gemma":[0.0384194,0.00009246714,0.0005591617,0.006341562,0.002234782,0.00151499,0.001017582,0.001126498,0.0004667593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171458,"about_ca_system_score_gemma":0.001928947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999051,"about_ca_topic_score_gemma":0.02547787,"domain_scores_codex":[0.9958251,0.002818467,0.0002251397,0.0002737577,0.000541785,0.0003157947],"domain_scores_gemma":[0.9627482,0.03043408,0.003417205,0.001121963,0.00204173,0.0002368275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006546849,0.00005934049,0.1548101,0.001248023,0.0006280838,0.004681398,0.009868357,0.005481017,0.0003161344,0.4489015,0.1516614,0.2216899],"study_design_scores_gemma":[0.0002198461,0.0001430447,0.1843705,0.006129932,0.0006972292,0.001418078,0.02352132,0.005043297,0.00173008,0.1942447,0.5823172,0.0001645523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3499207,0.04223723,0.00834047,0.3147391,0.003487708,0.0001148278,0.006730432,0.0001376277,0.2742918],"genre_scores_gemma":[0.936889,0.01796078,0.002563715,0.03371463,0.001902781,0.0001144102,0.0008612914,0.0000481138,0.005945337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01999051,"threshold_uncertainty_score":0.03974831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423973590733529,"score_gpt":0.3079621387263617,"score_spread":0.2837224028190264,"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."}}