{"id":"W4382072769","doi":"10.59934/jaiea.v2i2.158","title":"Identification of land and water Centella asiatica leaf herbal plants using digital imagery with the Sobel Edge Detection algorithm","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Medicinal Plants and Neuroprotection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Centella; Rhizome; Traditional medicine; Geography; Horticulture; Biology; Botany; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000285036,0.00008721583,0.0001569453,0.0001787565,0.00009829946,0.00005031992,0.00004513093,0.00004063625,0.000002826596],"category_scores_gemma":[0.00002905084,0.0000521234,0.00003060591,0.0002052649,0.00006647816,0.0001239752,0.00001527906,0.0001728756,0.000005046865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001584425,"about_ca_system_score_gemma":0.00001636803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008286064,"about_ca_topic_score_gemma":0.000001327581,"domain_scores_codex":[0.9992139,0.000008631664,0.0003605686,0.0001079742,0.0001870309,0.0001219081],"domain_scores_gemma":[0.9995397,0.00005994942,0.0001327178,0.00009801176,0.0001029915,0.00006660357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001824645,0.00008055915,0.0003371677,0.0001567192,0.00008781337,0.00001807749,0.0005748967,0.003295115,0.6581014,0.00003934808,0.00002103601,0.3371054],"study_design_scores_gemma":[0.000204994,0.0005561198,0.005467068,0.0002787714,0.0002254886,0.001967284,0.001556262,0.2759673,0.7117758,0.0003553865,0.001439981,0.0002055142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7019451,0.00008223854,0.2974416,0.0002629074,0.00006299702,0.0001750172,0.000006560886,0.0000155739,0.000008036242],"genre_scores_gemma":[0.9992089,0.0002033019,0.0003204803,0.0000102144,0.0002140647,0.000007215193,0.000004359293,0.00001200479,0.00001945954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3368998,"threshold_uncertainty_score":0.2125531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499833605704888,"score_gpt":0.2581141613991383,"score_spread":0.2331158253420894,"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."}}