{"id":"W7106715866","doi":"10.5683/sp3/gldig3","title":"Cocoa agroforestry shade tree traits","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Trait; Tree (set theory); Ecosystem; Soil fertility; Vegetation (pathology); Crop; Tropics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005406141,0.001131188,0.0008380633,0.002176569,0.0006589524,0.001087224,0.001096144,0.0007250673,0.009006288],"category_scores_gemma":[0.002337621,0.0003205821,0.0005399653,0.004477019,0.0003061006,0.0004183536,0.0008139388,0.0006661681,0.007217656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009803991,"about_ca_system_score_gemma":0.001010017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0800201,"about_ca_topic_score_gemma":0.1381743,"domain_scores_codex":[0.9996044,0.00004970961,0.00003543031,0.000148572,0.00008448829,0.00007748468],"domain_scores_gemma":[0.998859,0.0002352402,0.0003381343,0.0001548152,0.0002612286,0.0001514477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006601629,0.0001397673,0.173446,0.002361204,0.0003875619,0.0003759526,0.0003770171,0.001316699,0.001791167,0.000790698,0.8002235,0.01813031],"study_design_scores_gemma":[0.0003920216,0.00007379297,0.4936702,0.000649589,0.0002133225,0.0004601056,0.0006252381,0.001979415,0.001173504,0.000837601,0.499841,0.0000842829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007847715,0.0002486205,0.00007798103,0.00006038125,0.00001593196,0.00001005737,0.9910807,0.0001179063,0.0005407028],"genre_scores_gemma":[0.01107318,0.00009756429,0.0003838676,0.00003352983,0.00001046088,0.00007541305,0.9877661,0.00002768308,0.0005321607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0800201,"threshold_uncertainty_score":0.1591086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826335358780688,"score_gpt":0.2817421889997406,"score_spread":0.2634788354119337,"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."}}