{"id":"W6945884222","doi":"10.26023/7rwc-fc33-m50c","title":"UAH MIPS X-Band Profiling Radar (XPR) Data. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Radar; Data set; Radar systems; Radar tracker","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":[0.0008175093,0.001720174,0.00119696,0.003689633,0.0009042486,0.001957214,0.002757491,0.001787291,0.05122877],"category_scores_gemma":[0.004445806,0.0006589398,0.001105171,0.007996489,0.0004438516,0.001579802,0.002157981,0.001574401,0.08383074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590422,"about_ca_system_score_gemma":0.002825381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06509602,"about_ca_topic_score_gemma":0.08927193,"domain_scores_codex":[0.9990878,0.0001062542,0.0001001285,0.0002106881,0.0003040857,0.0001910348],"domain_scores_gemma":[0.9979202,0.0003958634,0.0001997151,0.0004767793,0.0007875222,0.0002199403],"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":[0.00002804912,0.00001141584,0.0007097517,0.0002861856,0.00001889194,0.00001286952,0.00001909348,0.0002374538,0.00006985119,0.0002690758,0.9966201,0.001717316],"study_design_scores_gemma":[0.0001037495,0.000009107172,0.006408365,0.0002074796,0.00001957425,0.00003020384,0.0001247442,0.0004345686,0.0003154422,0.0008672482,0.991447,0.00003263196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009779982,0.00003389749,0.00003485262,0.00003991256,0.00001921659,0.00000527318,0.9990916,0.0001913311,0.0004861163],"genre_scores_gemma":[0.0002818829,0.0000318008,0.0001280805,0.00002095734,0.000006261132,0.0000279873,0.9989898,0.00005087034,0.0004623066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06509602,"threshold_uncertainty_score":0.1713773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08906556696180418,"score_gpt":0.3572107039417444,"score_spread":0.2681451369799402,"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."}}