{"id":"W2323656135","doi":"10.1177/154193120705101904","title":"Use of Continuous Zoom on Electro-Optical Imaging Systems: Comparisons between Automatic and Manual Target Tracking","year":2007,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Zoom; Tracking (education); Computer vision; Computer science; Tracking system; Artificial intelligence; Tracking error; Eye tracking; Kalman filter; Optics; Physics","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":[0.002400797,0.0004469212,0.0003784962,0.001157477,0.0003660608,0.0005332007,0.0004854764,0.0006809362,0.0006715587],"category_scores_gemma":[0.02568053,0.000274908,0.0003171421,0.0005030828,0.000500618,0.0009790494,0.0007398007,0.0002389266,0.0001178814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000395913,"about_ca_system_score_gemma":0.0003761241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221564,"about_ca_topic_score_gemma":0.002372166,"domain_scores_codex":[0.9979261,0.0006712238,0.0001881181,0.0003011548,0.0007523579,0.000161126],"domain_scores_gemma":[0.9646396,0.0274554,0.003682197,0.00158363,0.0021676,0.0004714828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006908346,0.001288336,0.2374453,0.001420859,0.0004689121,0.0006492505,0.003042087,0.03903431,0.2552135,0.000787874,0.0006111761,0.45313],"study_design_scores_gemma":[0.0002490141,0.01014689,0.7978104,0.0002282202,0.0004439499,0.001999446,0.001199262,0.08244975,0.1020746,0.0006802976,0.002518028,0.0002000392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896484,0.00036453,0.008829527,0.00002440511,0.000008905475,0.00005089567,0.00003337695,0.0001014701,0.0009385864],"genre_scores_gemma":[0.9952582,0.0001095516,0.004284609,0.00002364452,0.000007745125,0.00002200243,0.00003981805,0.00001516509,0.0002393493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002400797,"threshold_uncertainty_score":0.0126968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006393956467448,"score_gpt":0.2565423483593297,"score_spread":0.2364784087946552,"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."}}