{"id":"W4406029107","doi":"10.1002/9781394155293.ch10","title":"Case Study #2","year":2025,"lang":"en","type":"other","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Inertial measurement unit; GNSS applications; Sensor fusion; Kalman filter; Computer science; Coordinate system; Computer vision; Orientation (vector space); MATLAB; Inertial navigation system; Satellite system; Geographic coordinate conversion; Global Positioning System; Artificial intelligence; Control engineering; Engineering; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002786342,0.0001370496,0.0001324718,0.0001783368,0.00001085201,0.00003540652,0.00006409679,0.00009900745,0.002303642],"category_scores_gemma":[0.000003545115,0.0001238591,0.00002489926,0.000144782,0.000006260484,0.000006320276,0.00001222284,0.0001211357,0.0001360555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007935697,"about_ca_system_score_gemma":0.00001032029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001490458,"about_ca_topic_score_gemma":0.0003342426,"domain_scores_codex":[0.9996642,0.000006274675,0.00007159628,0.0001103349,0.00004753238,0.0001000208],"domain_scores_gemma":[0.9997582,0.00001253253,0.000007466579,0.000189721,0.000006265941,0.00002581295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[2.658037e-7,0.00004286046,0.0001224549,0.0002403693,0.0001299745,0.003100049,0.00007866108,0.000007840655,0.000001813931,0.000003163109,0.893288,0.1029845],"study_design_scores_gemma":[0.0001545294,0.00001164388,9.441352e-7,0.00006551189,0.00005765676,0.0002889121,0.0006079163,0.0005208473,0.0000632709,0.000008429952,0.9979689,0.0002514787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003932542,0.002632143,0.004155401,7.148719e-7,0.0004262925,0.0001414267,0.000006887192,0.001884119,0.9907137],"genre_scores_gemma":[0.01105696,0.00005576118,0.001323043,0.00002126707,0.0001004924,0.00001338616,0.000003021634,0.0002531329,0.987173],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1046808,"threshold_uncertainty_score":0.9986084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306954218525528,"score_gpt":0.2551063924182142,"score_spread":0.2420368502329589,"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."}}