{"id":"W3010549801","doi":"10.13031/trans.13551","title":"Evaluation of Automated, In-Cockpit Swath Displacement","year":2020,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; U.S. Department of Agriculture","keywords":"Aerial application; Offset (computer science); Avionics; Displacement (psychology); Computer science; Real-time computing; Simulation; Remote sensing; Aerospace engineering; Engineering; Geology","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":[0.000672782,0.0004812489,0.0002928517,0.0002954637,0.0002096515,0.0003205781,0.0004560207,0.0002650705,0.001929844],"category_scores_gemma":[0.001505642,0.0001342035,0.0001776452,0.0002882218,0.0001665344,0.000297498,0.0002644612,0.0001697301,0.000261617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005248376,"about_ca_system_score_gemma":0.0003604081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00647475,"about_ca_topic_score_gemma":0.008215733,"domain_scores_codex":[0.9995781,0.00009965073,0.00003115205,0.00007157177,0.0001879659,0.00003166838],"domain_scores_gemma":[0.998789,0.0005215838,0.0001525768,0.0001258406,0.0003803913,0.00003061435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005006687,0.00214041,0.05458487,0.001056486,0.0002224238,0.0002296735,0.000468115,0.3124091,0.3953416,0.0003527958,0.001581555,0.2266064],"study_design_scores_gemma":[0.0003600812,0.02301202,0.1605595,0.00004290832,0.0001902033,0.000245886,0.0002792166,0.4716316,0.3378512,0.0002030694,0.005548527,0.00007572153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864287,0.00009013256,0.01137943,0.00001355921,0.000008037213,0.0001449739,0.0002758748,0.0002071569,0.00145227],"genre_scores_gemma":[0.9914,0.00004465615,0.00726266,0.000008892559,0.000001909915,0.00005931696,0.0003009455,0.00002444315,0.0008971781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00647475,"threshold_uncertainty_score":0.01287413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05638128710368979,"score_gpt":0.2433571200823527,"score_spread":0.1869758329786629,"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."}}