{"id":"W4393234702","doi":"10.3390/a17040139","title":"Testing a Vision-Based Autonomous Drone Navigation Model in a Forest Environment","year":2024,"lang":"en","type":"article","venue":"Algorithms","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Drone; Computer science; Artificial intelligence; Computer vision; Human–computer interaction","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":[0.0002103,0.0005372288,0.0002891755,0.000252466,0.0003096693,0.0004836501,0.0007057674,0.0008498593,0.001835161],"category_scores_gemma":[0.0008511202,0.0002354719,0.000394623,0.0001213301,0.000256824,0.0005593027,0.0003760979,0.0005456094,0.0002865988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000488861,"about_ca_system_score_gemma":0.001142321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04365338,"about_ca_topic_score_gemma":0.0251705,"domain_scores_codex":[0.9999017,0.000009915578,0.000004175457,0.00003796697,0.00002126656,0.00002505059],"domain_scores_gemma":[0.9997522,0.00009500742,0.00002118574,0.00002937307,0.00006943504,0.00003268164],"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":[0.000244088,0.0001979392,0.002499388,0.00005239302,0.00003769876,0.0001085117,0.00005449155,0.962858,0.01210246,0.0006751869,0.0002730102,0.02089696],"study_design_scores_gemma":[0.00000908839,0.00006139501,0.0002944673,0.000001767165,0.000003578335,0.00000627743,0.000009705054,0.9978567,0.00161004,0.00009001729,0.00005438025,0.000002561924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099291,0.00007556262,0.08548952,0.0001359667,0.00005127833,0.0001004686,0.0001782761,0.001047222,0.002992504],"genre_scores_gemma":[0.9813105,0.00002810702,0.01737944,0.00002655395,0.000002537671,0.00003323434,0.0001762455,0.00001914854,0.001024159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04365338,"threshold_uncertainty_score":0.08679855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403215541113934,"score_gpt":0.265282071233722,"score_spread":0.2412499158225827,"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."}}