{"id":"W4398770904","doi":"10.37394/23207.2024.21.108","title":"Producer Support Estimate Effects in Terms of Commodity Production – An Empirical Investigation","year":2024,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Commodity; Production (economics); Economics; Econometrics; Microeconomics; Market economy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005770338,0.0002357597,0.0005263729,0.001376109,0.0003822994,0.001420108,0.0006736565,0.0006980477,0.01296426],"category_scores_gemma":[0.02882429,0.0001497617,0.0007134193,0.001913481,0.001041921,0.001315464,0.001298842,0.001549012,0.0008786127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006819551,"about_ca_system_score_gemma":0.0005314058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004710111,"about_ca_topic_score_gemma":0.002267495,"domain_scores_codex":[0.9950637,0.003078927,0.0001985037,0.0005313954,0.0007351878,0.0003922932],"domain_scores_gemma":[0.8715701,0.1163522,0.007786966,0.002019674,0.001470469,0.0008005355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001209313,0.001006298,0.92905,0.0004120833,0.0008034565,0.001726936,0.001939595,0.0131539,0.0007508014,0.008248107,0.003649735,0.03804978],"study_design_scores_gemma":[0.000127117,0.001320283,0.9493933,0.0001354786,0.0007860668,0.0005344568,0.007724278,0.02280113,0.001597913,0.004148697,0.0113915,0.00003967333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878131,0.0007861626,0.001399856,0.000530451,0.00002172415,0.00004944453,0.0006929228,0.00002861633,0.008677844],"genre_scores_gemma":[0.9972365,0.0002307229,0.000250785,0.00003385734,0.00002703689,0.0000223983,0.0004122135,0.000007152497,0.001779391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296426,"threshold_uncertainty_score":0.04336971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602703034752181,"score_gpt":0.2525958316306689,"score_spread":0.2265688012831471,"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."}}