{"id":"W2124130160","doi":"10.1109/icsmc.2000.886504","title":"An Ideal Proportional Navigation Guidance system for moving object interception-robotic experiments","year":2002,"lang":"en","type":"article","venue":"","topic":"Guidance and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interception; Computer vision; Computer science; Proportional navigation; Ideal (ethics); Object (grammar); Artificial intelligence; Engineering; Aerospace engineering","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":[0.0001213357,0.0001309848,0.0001594646,0.00004284985,0.00007519426,0.00005996764,0.0001126809,0.00005874898,0.00007423791],"category_scores_gemma":[0.000005304928,0.0001241382,0.00006150974,0.00006637549,0.000009763819,0.0003052788,0.000005702194,0.00004694915,0.0001075307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709716,"about_ca_system_score_gemma":0.000004734801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002802972,"about_ca_topic_score_gemma":0.000006988694,"domain_scores_codex":[0.9990841,0.00001751963,0.000346423,0.0001768382,0.0001615811,0.0002135657],"domain_scores_gemma":[0.9996368,0.00001305813,0.00004508292,0.0001809857,0.00006332522,0.00006080083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003813435,0.0001720123,0.005773528,0.001604319,0.0002198779,0.00001372381,0.003106403,0.3810698,0.5735844,0.008895848,0.007753178,0.0177688],"study_design_scores_gemma":[0.0005039976,0.00007028985,0.001428752,0.0001990955,0.00001074908,0.00001408863,0.0007818428,0.9914749,0.0050416,0.00002552347,0.0002426305,0.0002065115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5346856,0.0008562508,0.4515376,0.00004073596,0.001616639,0.001176762,0.000009714332,0.001372364,0.008704382],"genre_scores_gemma":[0.997106,0.000001714408,0.001770985,0.00001721737,0.0003245111,0.0003543932,0.0000218599,0.00002962586,0.0003736605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6104051,"threshold_uncertainty_score":0.506221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100292735025685,"score_gpt":0.2536906457526669,"score_spread":0.2326877184024101,"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."}}