{"id":"W6930870559","doi":"10.5281/zenodo.15428189","title":"Revolutionizing Defense: 44.0 km Missile Tracking in 47.0 Seconds with 0.0–5.0s Early Alerts and 98.7% Precision Under 0.008 Noise Missile Detection Simulation","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Nonlinear Optical Materials Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Missile; Debugging; Radar; Noise (video); Tracking (education); Position (finance); Quantum; Missile guidance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005213873,0.0002541227,0.0002619235,0.0001641999,0.0002962465,0.0003088582,0.0004798479,0.0005487548,0.002640913],"category_scores_gemma":[0.001882407,0.0001247685,0.0001941522,0.0001293276,0.0004357001,0.0004613136,0.0004917739,0.0007517561,0.000258078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00063249,"about_ca_system_score_gemma":0.0007105871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008786182,"about_ca_topic_score_gemma":0.007078741,"domain_scores_codex":[0.9997786,0.00005645586,0.000006185754,0.00002510698,0.00007085982,0.00006270933],"domain_scores_gemma":[0.9993508,0.0003816179,0.00003104439,0.00006622776,0.0001169145,0.00005334395],"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":[0.0006162527,0.0002348484,0.007163217,0.00007500775,0.00003955036,0.0001947218,0.0002729602,0.9447173,0.01191176,0.01431061,0.00512229,0.0153415],"study_design_scores_gemma":[0.00004077473,0.0001740461,0.001030332,0.000006340452,0.000008551887,0.00002325289,0.0000544801,0.9891924,0.006525538,0.001501817,0.001432659,0.000009790481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385492,0.0002180625,0.0378872,0.0008648442,0.0001235798,0.00004694283,0.000397646,0.001230584,0.02068193],"genre_scores_gemma":[0.9946178,0.00003404876,0.004146999,0.00005132299,0.00000363935,0.00001435057,0.0001207632,0.00003818765,0.0009729193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008786182,"threshold_uncertainty_score":0.01747006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138646643387214,"score_gpt":0.2808857884191822,"score_spread":0.24949932198531,"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."}}