{"id":"W4385239685","doi":"10.22541/au.169028534.45200203/v1","title":"Development of Decision Support Framework for Soil Conservation and Profitability Mapping using Drone Imagery","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Environmental science; Water content; Soil fertility; Soil map; Precision agriculture; Multispectral image; Hydrology (agriculture); Soil science; Soil water; Remote sensing; Agriculture; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001199537,0.0007205808,0.0006303831,0.0009847188,0.0005342311,0.001840594,0.001305717,0.000755266,0.003377768],"category_scores_gemma":[0.00200704,0.0003293947,0.0008535938,0.0005419292,0.0002372902,0.00117208,0.0009790489,0.0008654856,0.0004870684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017103,"about_ca_system_score_gemma":0.002042832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010184,"about_ca_topic_score_gemma":0.01756635,"domain_scores_codex":[0.999622,0.00009854935,0.00003467704,0.00008266397,0.0001037798,0.00005829008],"domain_scores_gemma":[0.9994342,0.0002321268,0.00004840096,0.00003158486,0.000191479,0.00006231513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002505046,0.0003134644,0.005552865,0.0003507718,0.0001601637,0.0006485502,0.0002987341,0.787125,0.007262282,0.0209689,0.008220694,0.1688481],"study_design_scores_gemma":[0.00002065942,0.00002186949,0.0002662344,0.00002166136,0.00001352562,0.00001617246,0.00007613339,0.9923781,0.001185767,0.003549461,0.002441665,0.000008696759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0276479,0.0001585433,0.9597819,0.0006189165,0.00005457428,0.0004508164,0.001408585,0.0043861,0.005492754],"genre_scores_gemma":[0.4592817,0.0002561665,0.5352151,0.0001721248,0.00003211454,0.0007497859,0.002371903,0.0000901926,0.001830997],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02010184,"threshold_uncertainty_score":0.03996968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514808661904554,"score_gpt":0.3088966735396779,"score_spread":0.1574158073492225,"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."}}