{"id":"W4280556384","doi":"10.3390/su14105741","title":"Integrating the Strength of Multi-Date Sentinel-1 and -2 Datasets for Detecting Mango (Mangifera indica L.) Orchards in a Semi-Arid Environment in Zimbabwe","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Mangifera; Orchard; Random forest; Land cover; Mathematics; Land use; Artificial intelligence; Computer science; Horticulture; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009474561,0.0004344907,0.0003206879,0.0008618946,0.0003732193,0.0005547355,0.0004154383,0.0003095985,0.0003390499],"category_scores_gemma":[0.001491211,0.0001841382,0.0003516355,0.0007825344,0.0002129631,0.0006901218,0.0004867741,0.0003307847,0.0001117048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000497254,"about_ca_system_score_gemma":0.0003146341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.051697,"about_ca_topic_score_gemma":0.1516201,"domain_scores_codex":[0.9995735,0.0001219808,0.00003467722,0.0001174948,0.00007720746,0.00007509805],"domain_scores_gemma":[0.9994807,0.0001698861,0.00008860161,0.00006492007,0.0001609916,0.00003489419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003093389,0.0002489975,0.8276793,0.0001882271,0.0003249349,0.0002269432,0.0005188209,0.01914085,0.03894491,0.0001652035,0.001538984,0.1107134],"study_design_scores_gemma":[0.0000274774,0.0001530719,0.9092159,0.00004352005,0.0001531652,0.00009349451,0.0007161002,0.08364228,0.003840346,0.0001275978,0.001958069,0.00002896717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968758,0.0001995055,0.001521343,0.00009546086,0.000008604572,0.00002702672,0.0008061508,0.00003839393,0.000427715],"genre_scores_gemma":[0.9947473,0.00008495915,0.0038197,0.00002479609,0.000007719152,0.00002031151,0.001113524,0.000003327868,0.0001783719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.051697,"threshold_uncertainty_score":0.1027922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007603144426345565,"score_gpt":0.2394763155191557,"score_spread":0.2318731710928101,"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."}}