{"id":"W4312189438","doi":"10.18517/ijaseit.12.6.15117","title":"How to Improve the Production and Quality of Chirimoya (Annona cherimola Mill.) in the Tropical Andes","year":2022,"lang":"en","type":"article","venue":"International Journal on Advanced Science Engineering and Information Technology","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto Nacional de Investigaciones Agropecuarias; University of Saskatchewan","keywords":"Sprouting; Cyanamide; Biology; Horticulture; Humid subtropical climate; Agronomy; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000435743,0.0000458085,0.00006204306,0.00007863248,0.0002573787,0.00004555064,0.0002736202,0.0000163439,0.000002709609],"category_scores_gemma":[0.0006627619,0.00001665256,0.00001147731,0.0003659209,0.0001131673,0.0004565224,0.0000851419,0.0001996238,2.327077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000245337,"about_ca_system_score_gemma":0.000006000937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000174912,"about_ca_topic_score_gemma":0.000002200959,"domain_scores_codex":[0.9994472,0.00001964094,0.0001495719,0.00007039271,0.0002304775,0.00008276312],"domain_scores_gemma":[0.9996903,0.0000851974,0.00009558234,0.00002689948,0.00008843999,0.00001358837],"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":[0.0001054736,0.00003705242,0.002358171,0.000002857091,0.0000120702,5.726819e-7,0.0008499315,0.003570233,0.8195249,0.04517175,0.00004571021,0.1283213],"study_design_scores_gemma":[0.0002468681,0.0006439164,0.9419654,0.0000252593,0.000002176128,0.0001227052,0.008210257,0.000607162,0.01236285,0.00119601,0.03447897,0.000138406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979982,0.00004409742,0.00007423373,0.01955086,0.0002151861,0.00007812128,0.000009395396,0.00001081467,0.00003528811],"genre_scores_gemma":[0.9994375,0.00005718091,0.0001150953,0.000329872,0.00002976209,0.00002087185,0.000001379241,1.65993e-7,0.000008212056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9396073,"threshold_uncertainty_score":0.1979575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058324383161497,"score_gpt":0.235363161735242,"score_spread":0.224779917903627,"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."}}