{"id":"W2970580496","doi":"10.5216/revufg.v19.58528","title":"Drones como ferramenta de apoio para agricultores do Rio Grande do Sul","year":2019,"lang":"pt","type":"article","venue":"Revista UFG","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Political science; Art","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":[0.0008334134,0.0003993353,0.0003011614,0.001280155,0.001326309,0.001906765,0.0008351858,0.0005972955,0.007136414],"category_scores_gemma":[0.001840823,0.0002609922,0.0003819995,0.001657402,0.001100064,0.0007676873,0.001229151,0.0004358173,0.0008399628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00269378,"about_ca_system_score_gemma":0.003151743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05207471,"about_ca_topic_score_gemma":0.1460579,"domain_scores_codex":[0.9993091,0.0002006628,0.00003376035,0.0001391626,0.0002172095,0.000100179],"domain_scores_gemma":[0.9989016,0.000250995,0.0002369477,0.00009972414,0.0003879057,0.0001226815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005334263,0.0004721152,0.4614284,0.003407595,0.0001867714,0.002726655,0.06024087,0.003377076,0.07789342,0.01005455,0.006682289,0.3729969],"study_design_scores_gemma":[0.00002374213,0.0007885561,0.822429,0.000646234,0.000175031,0.0006290864,0.04746789,0.001556472,0.007298723,0.001627728,0.117262,0.00009544873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276009,0.00255575,0.003096598,0.001696113,0.00008347741,0.0002369054,0.0008446074,0.0001404633,0.06374519],"genre_scores_gemma":[0.9775556,0.001974906,0.004128226,0.0002239891,0.0000230979,0.0001223978,0.0003191369,0.00004483427,0.01560781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05207471,"threshold_uncertainty_score":0.1035432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009086888150712184,"score_gpt":0.2219798326913819,"score_spread":0.2128929445406697,"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."}}