{"id":"W2949379500","doi":"","title":"Exploring the Supply and Demand Drivers of Commodity Prices | Bulletin – June Quarter 2019","year":2019,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Commodity; Agricultural economics; Supply and demand; Business; Advertising; Economics; Commerce; Finance; 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":[0.000403089,0.0003656723,0.00020891,0.001527789,0.00074111,0.004134975,0.0002308221,0.0005039825,0.05540814],"category_scores_gemma":[0.001887009,0.000350831,0.0003335493,0.002476366,0.0003442632,0.001565744,0.0007638893,0.001276747,0.009626457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614879,"about_ca_system_score_gemma":0.001335712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03860044,"about_ca_topic_score_gemma":0.114695,"domain_scores_codex":[0.9998552,0.00001461549,0.00000547546,0.00001467088,0.00008893691,0.00002113203],"domain_scores_gemma":[0.9993356,0.0001502922,0.00008059691,0.00003808323,0.0002864833,0.0001089118],"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":[0.00005274915,0.00004337687,0.01348656,0.00008578558,0.00002551921,0.00006460927,0.0001256867,0.0006027516,0.0003492505,0.004813485,0.9249877,0.05536248],"study_design_scores_gemma":[0.0000117409,0.00002960096,0.0796859,0.0001461621,0.00002300472,0.00004618865,0.0006209796,0.001348611,0.0002783957,0.004495698,0.9132953,0.00001846557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09913839,0.03802708,0.00550681,0.1378727,0.01801391,0.000140265,0.041756,0.001490964,0.658054],"genre_scores_gemma":[0.2799607,0.03428371,0.003081551,0.003438901,0.007778103,0.00008007232,0.0230052,0.0008098958,0.6475618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05540814,"threshold_uncertainty_score":0.1853587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051096219457499,"score_gpt":0.1981848961121403,"score_spread":0.1676739339175653,"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."}}