{"id":"W1558856170","doi":"","title":"An Economic Evaluation of Beneficial Management Practices for Crop Nutrients in Canadian Agriculture","year":2007,"lang":"en","type":"article","venue":"","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Business; Agriculture; Revenue; Nutrient management; Prosperity; Agricultural science; Tillage; Agricultural economics; Environmental science; Economics; Agronomy; Finance; Economic growth; Geography","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":[0.004503907,0.0005347326,0.0004026303,0.001506277,0.001687657,0.001354183,0.00098028,0.0003832618,0.001428901],"category_scores_gemma":[0.0114582,0.0001782154,0.0006272317,0.002292699,0.0009963315,0.0007218857,0.0007241992,0.0004580423,0.00007019327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06714369,"about_ca_system_score_gemma":0.03803085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.917874,"about_ca_topic_score_gemma":0.9591106,"domain_scores_codex":[0.9956476,0.001134683,0.0001318119,0.0001927468,0.002175096,0.0007179088],"domain_scores_gemma":[0.9952382,0.001622386,0.0006074999,0.0002209941,0.001937,0.0003740568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007110691,0.002833808,0.4121881,0.001258518,0.000704737,0.0007400181,0.001259564,0.2598662,0.01158029,0.02579438,0.004843764,0.27182],"study_design_scores_gemma":[0.0002976711,0.004065014,0.8698466,0.00012595,0.000576261,0.0001036762,0.003431939,0.1007719,0.004676195,0.0028881,0.01307059,0.000146121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844453,0.0003623909,0.0006059079,0.0003105788,0.00000732412,0.0002777201,0.00076127,0.0000111871,0.01321836],"genre_scores_gemma":[0.9966152,0.0003341353,0.001399397,0.00002845515,0.000003208065,0.0000465425,0.000317542,0.000003000916,0.001252423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08212602,"threshold_uncertainty_score":0.4871638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03963568850658841,"score_gpt":0.3100060203554271,"score_spread":0.2703703318488386,"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."}}