{"id":"W3042315006","doi":"","title":"The Sensitivity of Personal Income to GDP Growth | Bulletin – December Quarter 2016","year":2016,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Personal income; Economics; Economic growth; Geography","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":[0.001137198,0.0002872233,0.0002920058,0.001158956,0.0004842969,0.00307583,0.0002270661,0.0008361791,0.009213191],"category_scores_gemma":[0.01140842,0.000303825,0.0003883487,0.002770921,0.0005294876,0.001249567,0.0009904343,0.001575574,0.002228571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956248,"about_ca_system_score_gemma":0.001496919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06039728,"about_ca_topic_score_gemma":0.07216009,"domain_scores_codex":[0.9994448,0.0001553308,0.00003306683,0.00006603198,0.0001943017,0.0001063422],"domain_scores_gemma":[0.9966008,0.001205401,0.0008623902,0.0001515547,0.0008651307,0.0003147366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006283624,0.0001351992,0.5323353,0.0002411893,0.0002451293,0.0005177129,0.0009752223,0.008445268,0.000559731,0.0178297,0.369954,0.06813315],"study_design_scores_gemma":[0.00003527944,0.00007444061,0.8157315,0.0002514396,0.00008677818,0.0002284104,0.00234681,0.004299703,0.00121319,0.006455292,0.1692135,0.00006362313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5989891,0.009499202,0.001068062,0.1273296,0.003165292,0.00005847564,0.04617743,0.000296025,0.2134169],"genre_scores_gemma":[0.9300594,0.00693022,0.0002716789,0.002238856,0.0009590854,0.00003571671,0.0100655,0.0001279203,0.04931163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06039728,"threshold_uncertainty_score":0.1200914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633303231525207,"score_gpt":0.2678965481434767,"score_spread":0.2515635158282246,"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."}}