{"id":"W3124942189","doi":"","title":"Japanese Demand For Wheat Characteristics: A Market Share Approach","year":2001,"lang":"en","type":"article","venue":"","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Market share; Price elasticity of demand; Winter wheat; Elasticity (physics); Agricultural economics; Demand curve; Microeconomics; Agronomy","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":[0.0006075649,0.0006026492,0.0005492443,0.00159042,0.0004082962,0.001416875,0.0008107619,0.000596089,0.005066761],"category_scores_gemma":[0.001382994,0.000362291,0.001239213,0.001475399,0.0004576443,0.001616671,0.0007888381,0.0004092615,0.0004132893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430736,"about_ca_system_score_gemma":0.0003595467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145552,"about_ca_topic_score_gemma":0.008990657,"domain_scores_codex":[0.9996948,0.00007258348,0.00001370766,0.00008494305,0.00007560375,0.00005836029],"domain_scores_gemma":[0.9996567,0.0001294944,0.00004991068,0.00004439326,0.00009307592,0.00002640994],"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":[0.0005701773,0.0006649812,0.1828696,0.0003811382,0.001093332,0.002804211,0.00397795,0.335548,0.02256706,0.3463007,0.005460553,0.09776232],"study_design_scores_gemma":[0.00009630238,0.0003438196,0.08908355,0.00001940018,0.0004254275,0.0002899413,0.001737363,0.8464911,0.002366216,0.04868245,0.01036704,0.00009739706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907241,0.000274473,0.06726658,0.0005097388,0.00002571756,0.00009203018,0.00087779,0.00007396024,0.02363865],"genre_scores_gemma":[0.9922869,0.0001464251,0.00275986,0.00003408046,0.00002572028,0.00005068588,0.000433169,0.00001436267,0.004248902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0145552,"threshold_uncertainty_score":0.02894098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479757893243761,"score_gpt":0.199436798114521,"score_spread":0.1746392191820834,"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."}}