{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295271,0.0001729852,0.0001633347,0.00007754491,0.00006979843,0.00005785257,0.0000697617,0.0002920533,0.000007229577],"category_scores_gemma":[0.00008748358,0.0001824506,0.00002988617,0.0001598178,0.00001312143,0.00004820698,0.00007801018,0.0002523711,0.00006213096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008276626,"about_ca_system_score_gemma":0.00001199055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005265783,"about_ca_topic_score_gemma":0.00002640368,"domain_scores_codex":[0.9991213,0.00001866379,0.0002934555,0.000256902,0.0001646557,0.0001450072],"domain_scores_gemma":[0.999398,0.0001998879,0.00005534404,0.0001812388,0.0001181139,0.00004739388],"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":[0.00001172095,0.00001317627,0.009725441,0.004068895,0.00009897345,0.000009133012,0.0002477836,0.9414166,0.01361666,0.00859824,0.002145028,0.02004836],"study_design_scores_gemma":[0.00008730197,0.000008934357,0.003509036,0.0002236732,0.00002938271,0.000008469718,0.00004080708,0.9904006,0.004413703,0.0009174414,0.0001322283,0.0002284734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3114441,0.0001610764,0.6682777,0.0003180297,0.001532185,0.001188779,0.00005706144,0.00491558,0.01210539],"genre_scores_gemma":[0.9948702,0.00001864935,0.003982426,0.00002757292,0.0004006519,0.00009350308,0.0003811553,0.00004790058,0.0001779617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.683426,"threshold_uncertainty_score":0.7440122,"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."}}