{"id":"W2060279052","doi":"10.1111/j.1744-7976.2004.tb00372.x","title":"Nitrogen Fertilizer Demand from Danish Crop Farms: Regulatory Implications of Heterogeneity","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Nitrogen fertilizer; Danish; Panel data; Fertilizer; Price elasticity of demand; Profit (economics); Agriculture; Agricultural science; Agricultural economics; Welfare economics; Mathematics; Econometrics; Geography; Microeconomics; Environmental science; Agronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001837907,0.0002371003,0.0005233961,0.0003971645,0.0002965884,0.001086116,0.000510652,0.00058372,0.001516638],"category_scores_gemma":[0.005501369,0.0004662373,0.0007139988,0.0007612533,0.0003798986,0.0006274119,0.0005022989,0.0004897343,0.0001844812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152097,"about_ca_system_score_gemma":0.0005738999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04060087,"about_ca_topic_score_gemma":0.02625423,"domain_scores_codex":[0.9983833,0.0005536592,0.000103128,0.0004517706,0.0003264176,0.0001816152],"domain_scores_gemma":[0.9940883,0.004320657,0.0007992786,0.0004403923,0.0002880948,0.00006321268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003774014,0.00009680665,0.2957534,0.00009777633,0.000326615,0.0003452019,0.0003757955,0.6850305,0.002825116,0.003652816,0.0007847148,0.01033383],"study_design_scores_gemma":[0.00005466873,0.0001506187,0.5357456,0.00003354832,0.0001434294,0.0001668573,0.000946885,0.4494158,0.00300314,0.005616733,0.004614778,0.0001079425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990392,0.0001095574,0.005483978,0.0001714753,0.000003833426,0.00001555574,0.00116755,0.00001650115,0.002639666],"genre_scores_gemma":[0.9976114,0.00005313737,0.0005183143,0.00001954501,0.000002026193,0.00001098143,0.001032427,0.000004002195,0.0007481117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04060087,"threshold_uncertainty_score":0.08072907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504025516017619,"score_gpt":0.1765277634241795,"score_spread":0.1514875082640033,"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."}}