{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"df94ee6c34f7","filters":{"venue":"Commodities"}},"results":[{"id":"W4408714029","doi":"10.3390/commodities4020004","title":"Wavelet Entropy for Efficiency Assessment of Price, Return, and Volatility of Brent and WTI During Extreme Events","year":2025,"lang":"en","type":"article","venue":"Commodities","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Volatility (finance); Economics; Econometrics","authors":[{"name":"Salim Lahmiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02781370027193509,"gpt":0.253130225031257,"spread":0.2253165247593219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001540617,0.0004521346,0.0004382052,0.002592715,0.0002189025,0.0008677048,0.0002728774,0.0004312961,0.0008884374],"category_scores_gemma":[0.006585229,0.0001478616,0.0004897131,0.001521947,0.0003735349,0.001397145,0.0004784632,0.0005203955,0.0002065205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261813,"about_ca_system_score_gemma":0.0002577851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001540181,"about_ca_topic_score_gemma":0.0008108523,"domain_scores_codex":[0.9995492,0.0001017432,0.0000512838,0.00007948082,0.0001477388,0.00007056408],"domain_scores_gemma":[0.9978799,0.001274988,0.000409603,0.0001658825,0.0001763691,0.00009336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001073414,0.0003540365,0.5199696,0.0002173794,0.0005587033,0.001396804,0.0006105353,0.28328,0.02788844,0.01307707,0.002071701,0.1495023],"study_design_scores_gemma":[0.00001223919,0.0001485931,0.26246,0.00001969161,0.00004521067,0.0002654018,0.0002550159,0.7277061,0.003844054,0.004545496,0.0006423891,0.00005574882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486659,0.0002568793,0.04838244,0.00011815,0.00003136658,0.00002811773,0.0005111963,0.00007855502,0.001927335],"genre_scores_gemma":[0.9963912,0.0001040273,0.002779043,0.000006244285,0.00002107002,0.00001081872,0.0004589645,0.00001146611,0.0002170899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002592715,"threshold_uncertainty_score":0.008147657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380485414","doi":"10.3390/commodities2020011","title":"A Game-Theoretic Analysis of Canada’s Entry for LNG Exports in the Asia-Pacific Market","year":2023,"lang":"en","type":"article","venue":"Commodities","topic":"Global Energy Security and Policy","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"MacEwan University","funders":"","keywords":"Profitability index; Profit (economics); Stackelberg competition; Business; Competition (biology); Incentive; Industrial organization; Profit margin; Market share; International trade; Differential game; Economics; Microeconomics; Finance","authors":[{"name":"Subhadip Ghosh","is_ca":true},{"name":"Shahidul Islam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01478005653854005,"gpt":0.2373381177416513,"spread":0.2225580612031112,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000982371,0.0007588757,0.0008558615,0.0009155318,0.002487106,0.003507438,0.001933821,0.002439925,0.01509652],"category_scores_gemma":[0.002914004,0.0004980341,0.001253325,0.0008426383,0.00234838,0.00217442,0.001330034,0.002205195,0.0004859679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01537407,"about_ca_system_score_gemma":0.01550759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4125061,"about_ca_topic_score_gemma":0.4203092,"domain_scores_codex":[0.9994142,0.0001378968,0.00001129818,0.00006795901,0.00008437721,0.0002843052],"domain_scores_gemma":[0.9985256,0.0007283212,0.0001619889,0.00003302738,0.0001999056,0.0003512261],"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":[0.000235705,0.0001967341,0.004130872,0.0001388541,0.00006975105,0.001329773,0.0005537692,0.4175979,0.002287299,0.5565757,0.01053699,0.00634667],"study_design_scores_gemma":[0.0001097817,0.0001053732,0.002341887,0.00004639249,0.00008222195,0.0001514197,0.001058095,0.9245875,0.0003404057,0.06661302,0.004492732,0.00007112664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6154893,0.0009793151,0.07124727,0.006568051,0.0001272933,0.000409396,0.001050945,0.0001651076,0.3039633],"genre_scores_gemma":[0.9762598,0.0004172205,0.00426434,0.0002339354,0.00002697796,0.00007212463,0.0001241335,0.00001637239,0.0185851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5874939,"threshold_uncertainty_score":0.82021,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408052245","doi":"10.3390/commodities4010002","title":"Causality Between Brent and West Texas Intermediate: The Effects of COVID-19 Pandemic and Russia–Ukraine War","year":2025,"lang":"en","type":"article","venue":"Commodities","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Causality (physics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; History; Virology; Medicine; Outbreak; Physics","authors":[{"name":"Salim Lahmiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02228378071381665,"gpt":0.3132812659306085,"spread":0.2909974852167919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007304275,0.000257194,0.0002422134,0.0007290776,0.0003092259,0.001497361,0.0002096235,0.0003008294,0.003609347],"category_scores_gemma":[0.002875459,0.0001130501,0.0005617595,0.0007183552,0.0006121131,0.0008055462,0.0009474069,0.0009758915,0.000177486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006287571,"about_ca_system_score_gemma":0.0008881379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009736688,"about_ca_topic_score_gemma":0.006835434,"domain_scores_codex":[0.9996859,0.00009213154,0.00002647348,0.00006289709,0.00004718121,0.00008543013],"domain_scores_gemma":[0.9976882,0.001053776,0.0009283821,0.00008114588,0.0001217235,0.0001268605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006724533,0.0001588405,0.9236307,0.0001333121,0.0006043489,0.00221546,0.0006658523,0.02345981,0.002069399,0.02242286,0.001018454,0.02294857],"study_design_scores_gemma":[0.00004470682,0.000256534,0.9434228,0.00009457864,0.0003698762,0.0004589584,0.005267349,0.02466292,0.003568867,0.0173404,0.004452273,0.00006064901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927806,0.0006040564,0.00121429,0.0006410771,0.00004428613,0.00001132897,0.0002780257,0.00001208087,0.004414245],"genre_scores_gemma":[0.9986433,0.0003808272,0.0001143055,0.00003543948,0.00001488368,0.000002379806,0.0001644356,0.000003614113,0.0006408744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009736688,"threshold_uncertainty_score":0.01936001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}