{"id":"W4321505447","doi":"10.23977/jaip.2023.060103","title":"UAV planar passive pure orientation positioning under different conditions","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triangulation; Planar; Orientation (vector space); Plane (geometry); Computer science; Geometry; Argumentative; Field (mathematics); Computer vision; Artificial intelligence; Mathematics; Computer graphics (images); Pure mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000285325,0.0004679686,0.0004609588,0.000278775,0.0003070105,0.0006111308,0.0004046203,0.0005619657,0.0004038312],"category_scores_gemma":[0.001323801,0.0001502954,0.0002261403,0.0002693497,0.0006589926,0.0009692056,0.0008303714,0.0003428885,0.0001571468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989854,"about_ca_system_score_gemma":0.0003075193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734231,"about_ca_topic_score_gemma":0.0009054163,"domain_scores_codex":[0.999436,0.00008231537,0.00001544549,0.0001607228,0.0002279917,0.00007747813],"domain_scores_gemma":[0.9996709,0.00009466677,0.00008051423,0.00004950438,0.00009093688,0.00001346792],"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":[0.0006131827,0.00005276388,0.005544724,0.0003997563,0.00007676463,0.001294962,0.0003617947,0.6444712,0.226542,0.03423169,0.001318673,0.08509234],"study_design_scores_gemma":[0.00004451628,0.0004781776,0.006368422,0.00001965452,0.00004792293,0.0007349162,0.0004402669,0.9163666,0.06005318,0.01331058,0.002071878,0.00006384969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3198283,0.0004050385,0.6710676,0.0002333666,0.00009104323,0.00003131848,0.0001742455,0.0003358041,0.007833362],"genre_scores_gemma":[0.9869239,0.0002367441,0.01143876,0.00002054305,0.00001962649,0.00002157617,0.0001030569,0.00001508885,0.00122062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001734231,"threshold_uncertainty_score":0.003448308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572606187996875,"score_gpt":0.3164112283782752,"score_spread":0.2806851664983065,"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."}}