{"id":"W2969478080","doi":"10.2312/exp.20191077","title":"Single Stroke Aerial Robot Light Painting","year":2019,"lang":"en","type":"article","venue":"Eurographics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Trajectory; Computer vision; Robot; Artificial intelligence; Computer science; Piecewise; Set (abstract data type); Curvature; Position (finance); Range (aeronautics); Plane (geometry); Mathematics; Engineering; Geometry; Physics","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":[0.0002109147,0.0001159331,0.0001189476,0.0001423992,0.0000941448,0.000211664,0.0005596031,0.00003258172,0.00002381336],"category_scores_gemma":[0.00005102714,0.0001097918,0.00009375526,0.0005132395,0.00002486651,0.0005064261,0.0002487302,0.0001772381,0.0001456365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008086246,"about_ca_system_score_gemma":0.00001505572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002165348,"about_ca_topic_score_gemma":0.000001191255,"domain_scores_codex":[0.9988928,0.00005347344,0.0001697245,0.0003358672,0.0002451794,0.0003029869],"domain_scores_gemma":[0.9992247,0.00006232361,0.00007836011,0.0004918701,0.00006015725,0.00008262451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001604051,0.0003104482,0.03509894,0.00003618528,0.00003912778,0.00005585662,0.001009754,0.0002375014,0.2510134,0.107975,0.001550935,0.6026568],"study_design_scores_gemma":[0.002091036,0.0006821486,0.007337145,0.0001425121,0.0000138631,0.00006078093,0.0001930768,0.1381345,0.03175453,0.004757018,0.8136696,0.001163765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05854942,0.0002469491,0.9176517,0.001856465,0.00307379,0.0002206326,0.000001188837,0.0007007759,0.01769907],"genre_scores_gemma":[0.8500014,0.00001631545,0.148209,0.001036673,0.0001649608,0.000001941278,0.000001252555,0.00001814969,0.0005503165],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8121186,"threshold_uncertainty_score":0.4477178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314757820419099,"score_gpt":0.2384349946861067,"score_spread":0.2252874164819157,"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."}}