{"id":"W4320928324","doi":"10.35497/349327","title":"Plantation Crop Productivity: Coffee, Sugarcane and Cocoa","year":2021,"lang":"en","type":"report","venue":"","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Agricultural economics; Agriculture; Closing (real estate); Quarter (Canadian coin); Gross domestic product; Business; Product (mathematics); Government (linguistics); Private sector; Agroforestry; Crop; Crop productivity; Economics; Natural resource economics; Agricultural science; Geography; Forestry; Environmental science; Economic growth; Mathematics","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":[0.0004573118,0.0003091882,0.0001102666,0.002139141,0.0002456234,0.0009557023,0.0002748343,0.0001731552,0.009378524],"category_scores_gemma":[0.0008265545,0.00006276009,0.0001679592,0.004394852,0.0001344996,0.0004930323,0.0003675958,0.0002288774,0.00154522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485879,"about_ca_system_score_gemma":0.001379783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1380678,"about_ca_topic_score_gemma":0.2280156,"domain_scores_codex":[0.9997312,0.00002091112,0.000009266635,0.00004361354,0.0001337477,0.00006120787],"domain_scores_gemma":[0.9994419,0.00007448216,0.00009058027,0.00002218174,0.0003114028,0.00005939946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003773514,0.0002255341,0.5186759,0.0007695156,0.0001164819,0.0005732855,0.001105025,0.003213827,0.005816111,0.004819763,0.1418009,0.3225063],"study_design_scores_gemma":[0.000009060259,0.0000600907,0.9028206,0.0000489552,0.00004097564,0.0001448848,0.001055376,0.0009364884,0.003447681,0.0004968563,0.09092371,0.00001535663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5800068,0.005743624,0.001916071,0.004801839,0.000248334,0.0001442605,0.1686527,0.0006782259,0.2378082],"genre_scores_gemma":[0.8068103,0.006106523,0.001527222,0.0002380365,0.0001367061,0.00006195663,0.06896592,0.00008982816,0.1160635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1380678,"threshold_uncertainty_score":0.2745284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04152919875112359,"score_gpt":0.2961185699854634,"score_spread":0.2545893712343398,"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."}}