{"id":"W4386215842","doi":"10.32920/24043440.v1","title":"Sun Sensor Geolocalization System: Field Testing and Navigational Application","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Odometry; Heading (navigation); Inclinometer; Mobile robot; Computer science; Tree traversal; Computer vision; Robot; Instrumentation (computer programming); Visual odometry; Real-time computing; Artificial intelligence; Simulation; Engineering; Aerospace engineering; Algorithm; Geography","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":[0.0006915659,0.0003479891,0.0003337551,0.0004566993,0.0003353895,0.0002762472,0.000651605,0.0004025497,0.002063526],"category_scores_gemma":[0.0008013002,0.0001335939,0.0001665222,0.000453547,0.0002872561,0.0004530367,0.000270053,0.000237923,0.0005762922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151465,"about_ca_system_score_gemma":0.0004910252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003862001,"about_ca_topic_score_gemma":0.004109978,"domain_scores_codex":[0.9996345,0.00008443589,0.00001361374,0.00006590565,0.0001670505,0.00003451654],"domain_scores_gemma":[0.9993086,0.0001083058,0.00004335136,0.000130957,0.0003563461,0.00005253385],"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":[0.002553156,0.001947511,0.03894531,0.000733282,0.0001391127,0.0005821647,0.00139574,0.09919239,0.4534425,0.002021923,0.006951883,0.392095],"study_design_scores_gemma":[0.0007179523,0.01124168,0.06647997,0.00007605318,0.0001125601,0.0005740806,0.001109868,0.3239034,0.5774295,0.0007601739,0.0174759,0.0001189118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413461,0.0000980206,0.05212618,0.0001138076,0.00004207286,0.0002787712,0.0007111404,0.001681737,0.003602226],"genre_scores_gemma":[0.9819519,0.0000565722,0.01539485,0.00002440844,0.000005247692,0.00007747473,0.0005724389,0.00005023264,0.001866895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003862001,"threshold_uncertainty_score":0.007679045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194211371455801,"score_gpt":0.2334242764921194,"score_spread":0.2140031393465393,"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."}}