{"id":"W1626597280","doi":"10.1029/2004rs003123","title":"Legendre coding for digital ionosondes","year":2005,"lang":"en","type":"article","venue":"Radio Science","topic":"GNSS positioning and interference","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Legendre polynomials; Ambiguity function; Ionosonde; Autocorrelation; Computer science; Radar; Algorithm; Pulse repetition frequency; Acoustics; Mathematics; Telecommunications; Waveform; Physics; Statistics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008525288,0.0003333585,0.000191922,0.0005756223,0.0002415281,0.0005793135,0.0003999227,0.0004556809,0.005294228],"category_scores_gemma":[0.004345488,0.00008227859,0.0001113645,0.000874074,0.0004198642,0.0005936555,0.0003499932,0.0003202357,0.001004241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005941016,"about_ca_system_score_gemma":0.000619075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573606,"about_ca_topic_score_gemma":0.00203477,"domain_scores_codex":[0.9993253,0.0001459734,0.00003562384,0.00004636633,0.0003785412,0.00006815456],"domain_scores_gemma":[0.9982604,0.0004554993,0.0001435351,0.0001934881,0.0008708687,0.00007622763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002236029,0.0001514004,0.003869068,0.0005534998,0.00003046613,0.0005048426,0.0002556684,0.04444124,0.3261122,0.0593338,0.005525228,0.5569865],"study_design_scores_gemma":[0.0002863899,0.003486079,0.005894615,0.0002846831,0.00009820105,0.002652817,0.0002493929,0.2424646,0.630415,0.01096963,0.1030153,0.0001832698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3894997,0.003454573,0.5599049,0.0007137398,0.0005877758,0.0004522615,0.0003661198,0.002922302,0.04209867],"genre_scores_gemma":[0.7908219,0.0005858849,0.1992608,0.0001536348,0.00005616971,0.0001039434,0.0003821998,0.0001090655,0.008526461],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005294228,"threshold_uncertainty_score":0.01771098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133601633170914,"score_gpt":0.2260463446557515,"score_spread":0.2147103283240423,"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."}}