{"id":"W3203742996","doi":"10.18280/ts.380412","title":"SVM Prediction Model Interface for Plant Contaminates","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution; RGB color model; Air pollution; Support vector machine; Interface (matter); Ocimum; Environmental science; Computer science; Azadirachta; Texture (cosmology); Atmosphere (unit); Mathematics; Artificial intelligence; Image (mathematics); Geography; Horticulture; Meteorology; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003780408,0.0009119522,0.0003822384,0.0004583046,0.000161606,0.0005843326,0.0008033086,0.0008456808,0.03885211],"category_scores_gemma":[0.001343257,0.0002171039,0.0006179338,0.0002362279,0.00007096998,0.0004486445,0.0004694871,0.0006918082,0.008004073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000302749,"about_ca_system_score_gemma":0.000289823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004232588,"about_ca_topic_score_gemma":0.004246111,"domain_scores_codex":[0.9998623,0.00002155417,0.00001017637,0.00004494726,0.00004730271,0.00001365791],"domain_scores_gemma":[0.9996011,0.0001941465,0.00002074066,0.00002831932,0.0001402547,0.000015475],"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":[0.001456518,0.0005917904,0.0082242,0.0006212889,0.0001270184,0.0008634206,0.000297764,0.2549419,0.03109603,0.002990176,0.1508002,0.5479897],"study_design_scores_gemma":[0.00003018614,0.00009152848,0.001323915,0.00002152134,0.00001254206,0.00006075837,0.00002351866,0.9785435,0.007721071,0.0009319044,0.01122609,0.00001351679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06955076,0.000582513,0.7739144,0.0009981436,0.0005597193,0.0004295525,0.01295864,0.1225373,0.01846896],"genre_scores_gemma":[0.5952923,0.0006301541,0.312301,0.0005165376,0.0001416001,0.001371041,0.02314191,0.002322783,0.06428275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03885211,"threshold_uncertainty_score":0.1299733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411811278862929,"score_gpt":0.2126160328462095,"score_spread":0.1684979200575802,"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."}}