{"id":"W2969509366","doi":"10.5539/mas.v13n9p33","title":"Vision Based Position Control for Vertical Take-off and Landing (VTOL) Using One Singular Landmark","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknikal Malaysia Melaka","keywords":"Landmark; Computer vision; Position (finance); Computer science; Artificial intelligence; MATLAB; Point (geometry); Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002662903,0.00009421549,0.0001305359,0.00009314119,0.0001499973,0.0001148799,0.00007809082,0.0000516296,0.000004833526],"category_scores_gemma":[0.00001350635,0.00009339245,0.00001862596,0.0001501481,0.00006498027,0.0001065487,0.00001139152,0.00005383296,0.000004491234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008281098,"about_ca_system_score_gemma":0.00002503943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002052961,"about_ca_topic_score_gemma":0.00000107274,"domain_scores_codex":[0.9991675,0.000006049901,0.0001258875,0.0002313155,0.0002256543,0.000243612],"domain_scores_gemma":[0.9996803,0.0000556878,0.00001432254,0.0001341432,0.00003850297,0.0000769849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002110669,0.000009753781,0.0001482501,0.00002580862,0.000002079184,2.538858e-7,0.00004726286,0.3577702,0.6400288,0.001049785,0.000001523487,0.0008951779],"study_design_scores_gemma":[0.0008371267,0.0000321679,0.0004942267,0.00003172718,0.00001438961,0.000001066356,0.000006573634,0.9783467,0.01945394,0.0006263338,0.00002886988,0.0001268526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3698573,0.00001911432,0.6295557,0.00002345353,0.00006013647,0.0002202552,0.00000234809,0.00004665998,0.0002149794],"genre_scores_gemma":[0.9906363,0.000001580131,0.009211385,0.00009114313,0.00002662773,0.000005445462,0.000007977552,0.00001682043,0.000002729655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6207789,"threshold_uncertainty_score":0.3808433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044633110719407,"score_gpt":0.2210032850672065,"score_spread":0.2105569539600125,"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."}}