{"id":"W4399283828","doi":"10.3390/s24113618","title":"Use of Optical and Radar Imagery for Crop Type Classification in Africa: A Review","year":2024,"lang":"en","type":"review","venue":"Sensors","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Université Mohammed VI Polytechnique","keywords":"Remote sensing; Synthetic aperture radar; Context (archaeology); Radar; Computer science; Cloud computing; Data science; Environmental science; Geography; Telecommunications","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":[0.001075062,0.0008314905,0.00083839,0.003472129,0.0002273139,0.001144953,0.0007616379,0.0007501256,0.001673881],"category_scores_gemma":[0.001699018,0.0003552752,0.0009278998,0.003527295,0.0003747188,0.00162083,0.0004146674,0.0007064709,0.000714108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000382903,"about_ca_system_score_gemma":0.0009890005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003123589,"about_ca_topic_score_gemma":0.003624683,"domain_scores_codex":[0.9996618,0.00006506076,0.00006385332,0.00007213454,0.0001137546,0.00002337793],"domain_scores_gemma":[0.9986926,0.0008197255,0.000164821,0.00002743956,0.0002674161,0.00002809011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003857339,0.00005020168,0.001348693,0.02196666,0.0001826592,0.0001778226,0.0001331659,0.0008338116,0.002047797,0.001324969,0.007661307,0.9642343],"study_design_scores_gemma":[0.00001539522,0.00032728,0.01331174,0.02243297,0.0009872984,0.002582191,0.0005900868,0.001931233,0.003518445,0.002909816,0.9512718,0.0001216759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008720632,0.9963451,0.001047662,0.0002565358,0.0001396662,0.00001740389,0.00006743973,0.00001391902,0.001240217],"genre_scores_gemma":[0.003176565,0.9948453,0.001424204,0.0001054332,0.0001152241,0.000009253907,0.00008198065,0.00000408933,0.0002379108],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003472129,"threshold_uncertainty_score":0.006210804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065407177372836,"score_gpt":0.3207097613941394,"score_spread":0.2141690436568558,"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."}}