{"id":"W4403075508","doi":"10.1051/e3sconf/202457402008","title":"Anatomy of Competition in the Global Agricultural Market: A Cross-Country Comparative Analysis","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comparative anatomy; Competition (biology); Agriculture; Cross country; International trade; Economics; International economics; Anatomy; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002664835,0.0001237817,0.0002954811,0.000154506,0.0000412812,0.0002817319,0.0003163967,0.00004051609,0.0005115664],"category_scores_gemma":[0.00001157762,0.00007599146,0.0001281944,0.002024149,0.0001753724,0.0004530005,0.00004430474,0.00007714074,0.0000150229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001481414,"about_ca_system_score_gemma":0.00009117496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264914,"about_ca_topic_score_gemma":0.00202507,"domain_scores_codex":[0.9990699,0.00003093,0.0002854829,0.0001770516,0.000300791,0.0001358839],"domain_scores_gemma":[0.9995126,0.00008111109,0.0001257076,0.0001031328,0.0001722497,0.000005176224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002056442,0.00004877852,0.4134996,0.0001113854,0.0001404552,0.000004813227,0.00005409434,0.00006872077,0.00002978412,0.5858043,0.000130415,0.00008713784],"study_design_scores_gemma":[0.0001751788,0.00001079645,0.9692718,0.0001424704,0.0001854353,0.000001072313,0.00242591,0.00303466,0.00003760717,0.004325964,0.02028289,0.0001062213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7143125,0.0004205567,0.00003111617,0.0002666781,0.0001177463,0.00009710968,0.00003293087,0.00001980595,0.2847016],"genre_scores_gemma":[0.9996891,0.00001567205,0.000008723824,0.00008761822,0.0001088385,0.000009495481,0.00005174589,0.000001375858,0.00002741765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5814783,"threshold_uncertainty_score":0.5601293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048318042853837,"score_gpt":0.2901071120950566,"score_spread":0.2696239316665182,"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."}}