{"id":"W7019723961","doi":"","title":"Incidencia de la biodiversidad en la productividad de sistemas agroforestales con café en los departamentos de Amazonas y San Martín","year":2018,"lang":"es","type":"article","venue":"Institutional Repository of the University of Granada (University of Granada)","topic":"Cocoa and Sweet Potato Agronomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Agriculture; Quarter (Canadian coin)","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":[0.0004411486,0.000206868,0.000237527,0.0009209079,0.0003547915,0.000592523,0.0002418454,0.0001664038,0.001969966],"category_scores_gemma":[0.0004339168,0.0001609732,0.0002535767,0.001137048,0.0002647624,0.0002310524,0.0002811607,0.0001812796,0.0001427571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440679,"about_ca_system_score_gemma":0.000423402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02709854,"about_ca_topic_score_gemma":0.08966498,"domain_scores_codex":[0.9997364,0.00003856231,0.00001461512,0.00007865555,0.00007513766,0.00005660405],"domain_scores_gemma":[0.9992,0.0001710135,0.0003038451,0.00005527681,0.0002018778,0.00006795482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001706774,0.00005079648,0.9624287,0.0001077875,0.00005281419,0.00008636827,0.0005619957,0.00007126337,0.02886573,0.00005831115,0.00004028547,0.007505237],"study_design_scores_gemma":[8.578034e-7,0.0000690261,0.997855,0.000005686481,0.00001398261,0.00004125583,0.0002643955,0.00005764961,0.001286071,0.00000714224,0.0003972527,0.000001641148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988953,0.000149465,0.0001232737,0.000005643033,6.264036e-7,0.00000902587,0.0002094742,0.000003334041,0.0006039853],"genre_scores_gemma":[0.9979266,0.000192422,0.0005734732,0.000006263744,0.000001146404,0.00001597497,0.0002738294,0.000002522483,0.001007716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02709854,"threshold_uncertainty_score":0.05388159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005727901638498455,"score_gpt":0.1794379739043214,"score_spread":0.1737100722658229,"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."}}