{"id":"W3035580250","doi":"","title":"The Allen-Unger Global Commodity Prices Database","year":2019,"lang":"en","type":"article","venue":"Journal of humanities and social sciences","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Commodity; Database; Economics; Business; Computer science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001847743,0.00005828845,0.0001801813,0.0000271525,0.0007615561,0.0003181705,0.0002858224,0.00002706377,0.0001505154],"category_scores_gemma":[0.00003237673,0.0000406209,0.00006838752,0.00005316968,0.0003458707,0.0003442187,0.00007134469,0.00009411303,0.000004742187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003553121,"about_ca_system_score_gemma":0.00002884554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001676233,"about_ca_topic_score_gemma":0.0003797568,"domain_scores_codex":[0.9993246,0.00001990526,0.0003319022,0.00009664348,0.00007800026,0.0001490018],"domain_scores_gemma":[0.9993617,0.00009774047,0.000423526,0.00005831952,0.00004155935,0.0000171771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001753393,0.00002882053,0.2125891,0.00001684223,0.0000265332,9.822571e-7,0.001350558,0.000001016585,8.469648e-7,0.7827961,0.002351806,0.0008197587],"study_design_scores_gemma":[0.0004905767,0.0002950797,0.2143926,0.00001670949,0.00001011315,0.00001197848,0.007449431,0.004785799,5.607202e-7,0.2369159,0.5353933,0.0002379041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437657,0.002297421,0.00005087645,0.00134784,0.0005864114,0.00004998285,0.00007081932,0.000002603002,0.05182835],"genre_scores_gemma":[0.9986818,0.0004868585,0.00007771655,0.0002321658,0.0001648484,4.031027e-7,6.55932e-7,0.000001676454,0.0003538348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5458803,"threshold_uncertainty_score":0.5857351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06656065602739067,"score_gpt":0.2652697880607485,"score_spread":0.1987091320333579,"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."}}