{"id":"W6901796239","doi":"10.60692/sh8fa-cwc31","title":"CONVOLUTIONAL SVM NETWORKS FOR DETECTION OF GANODERMA BONINENSE AT EARLY STAGE IN OIL PALM USING UAV AND MULTISPECTRAL PLEIADES IMAGES","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multispectral image; Ganoderma; Pleiades; Support vector machine; Palm oil; Stage (stratigraphy); Elaeis guineensis; Palm","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":[0.000312231,0.0004314275,0.0002139014,0.0005630371,0.0001655307,0.0003159305,0.0002665757,0.000341653,0.0008721412],"category_scores_gemma":[0.0004804813,0.0001485752,0.0003327997,0.0002236139,0.00009399932,0.0002647515,0.000171531,0.0003009349,0.0002612339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003709226,"about_ca_system_score_gemma":0.0003134332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028811,"about_ca_topic_score_gemma":0.009250031,"domain_scores_codex":[0.9999092,0.00001574267,0.000005690313,0.00002174742,0.0000228009,0.00002485087],"domain_scores_gemma":[0.999845,0.00005065701,0.00001955234,0.0000110079,0.00006138765,0.00001233825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001072784,0.0005691545,0.05450294,0.0001883803,0.0002201524,0.0005521297,0.0001774123,0.2615047,0.1079744,0.0008623062,0.004004683,0.568371],"study_design_scores_gemma":[0.000003496346,0.00005711185,0.008908859,0.000006416779,0.0000172394,0.00003732272,0.00003633804,0.9830304,0.007537845,0.000107904,0.0002517803,0.000005271412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.906725,0.0006738165,0.08791748,0.0002357526,0.00009057862,0.00004255188,0.0003313171,0.00103895,0.002944568],"genre_scores_gemma":[0.9840264,0.0001533982,0.01349593,0.00002273751,0.000008539373,0.00001354242,0.0002893461,0.000008082172,0.001982046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01028811,"threshold_uncertainty_score":0.02045649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205828353970534,"score_gpt":0.217503307660572,"score_spread":0.1954450241208666,"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."}}