{"id":"W4313826169","doi":"10.20944/preprints202301.0144.v1","title":"A Simple Drone Survey and Image Processing Approach to Identifying St. John's Wort (&lt;em&gt;Hypericum Perforatum&lt;/em&gt;) on Grazing Land in the Hunter Valley NSW, Australia","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypericum perforatum; Geography; Grazing; Drone; Vegetation (pathology); Land use; Biology; Agronomy; Ecology; Medicine; Traditional medicine; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002310806,0.000402723,0.0002859366,0.002968864,0.0003996277,0.0006314814,0.0004161815,0.0003840851,0.003749766],"category_scores_gemma":[0.0005420442,0.0003943182,0.000329223,0.001026489,0.0002181959,0.0003359957,0.0008326537,0.0002520228,0.001074913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625946,"about_ca_system_score_gemma":0.0005348996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410484,"about_ca_topic_score_gemma":0.05451216,"domain_scores_codex":[0.9997334,0.00003332585,0.00001420795,0.00007895307,0.0001069404,0.0000332424],"domain_scores_gemma":[0.9997105,0.00004761668,0.00003488781,0.00003884863,0.0001258041,0.00004228932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002248494,0.0003740975,0.05874613,0.0005557653,0.0001303636,0.001031218,0.004278576,0.007352586,0.3644862,0.0008975591,0.004774817,0.5571478],"study_design_scores_gemma":[0.00006765635,0.0007779382,0.8059418,0.0001318368,0.0001463306,0.002093637,0.006259649,0.08780645,0.05442645,0.001201841,0.04098982,0.000156508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7397003,0.000345142,0.2276738,0.0002988777,0.0000694505,0.002410613,0.004204981,0.001785584,0.02351119],"genre_scores_gemma":[0.5123211,0.0005212126,0.4716232,0.0001255923,0.0000502076,0.0007751897,0.002653904,0.0001552295,0.01177444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410484,"threshold_uncertainty_score":0.02804548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263985026392677,"score_gpt":0.3311903086324131,"score_spread":0.2047918059931454,"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."}}