{"id":"W2529860851","doi":"10.5539/jas.v8n11p11","title":"Shade’s Benefit: Coffee Production under Shade and Full Sun","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Coffee research and impacts","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agroecosystem; Productivity; Agroforestry; Monoculture; Amazon rainforest; Tropics; Production (economics); Biodiversity; Ecosystem services; Agricultural science; Agriculture; Environmental science; Ecosystem; Geography; Agronomy; Ecology; Biology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005874268,0.00008514583,0.0001624347,0.000125163,0.0001359943,0.00006671975,0.0001424995,0.00002921217,0.00006524449],"category_scores_gemma":[0.0007188802,0.00003147142,0.00005262379,0.0004824681,0.000306854,0.0008686599,0.00005306247,0.0001480027,0.00001279224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001882636,"about_ca_system_score_gemma":0.0001719196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008299223,"about_ca_topic_score_gemma":0.00001333666,"domain_scores_codex":[0.998503,0.00001364433,0.0002106046,0.000156675,0.0007920802,0.0003240119],"domain_scores_gemma":[0.9986536,0.00004453861,0.000139546,0.00008623108,0.0005718399,0.0005042456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008704706,0.00004295657,0.005076425,0.00001048079,0.0000112767,0.000009472325,0.00009837646,0.00000236879,0.9772304,0.0001212059,0.003956653,0.01335339],"study_design_scores_gemma":[0.0005202686,0.0008047948,0.968962,0.0002288415,0.00001810079,0.002110467,0.0002187402,0.00000159376,0.02611752,0.0001989441,0.0007534523,0.00006524186],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577188,0.0003770736,0.00001720492,0.04119479,0.0002109795,0.0001097214,0.000001016746,0.000007574306,0.0003628045],"genre_scores_gemma":[0.9973466,0.0004168635,0.0002148015,0.0001291137,0.0004903551,5.498904e-7,1.794716e-7,0.000002454259,0.001399124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9638856,"threshold_uncertainty_score":0.1283367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724904252266525,"score_gpt":0.2979525157635916,"score_spread":0.2707034732409264,"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."}}