{"id":"W7027513826","doi":"","title":"Conception et rÃ©alisation d'un dispositif de prÃ©traitement de signaux radar en utilisant le VHDL","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"VHDL; Electronic circuit; Digital electronics; Circuit design","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008798724,0.0007902676,0.0003929381,0.0006034474,0.0004108707,0.003911694,0.001360664,0.0006737268,0.009741282],"category_scores_gemma":[0.001768818,0.0004507594,0.0007460034,0.0002273588,0.0008725467,0.001863808,0.0007640152,0.001695845,0.003877407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420768,"about_ca_system_score_gemma":0.001426371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004015856,"about_ca_topic_score_gemma":0.003127733,"domain_scores_codex":[0.9987882,0.0001742813,0.0001189429,0.0001991046,0.0005727929,0.0001466599],"domain_scores_gemma":[0.9990575,0.0002974201,0.00006235138,0.0002158021,0.0003288328,0.00003802499],"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":[0.0007645768,0.0001803235,0.002711258,0.001154064,0.0001092997,0.001328768,0.002800682,0.0601767,0.2872213,0.2184403,0.01856014,0.4065526],"study_design_scores_gemma":[0.00009110121,0.0003508637,0.0009015228,0.0001801262,0.0001061033,0.001142398,0.0002759256,0.1364642,0.440307,0.01357717,0.4064984,0.0001053146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01833989,0.0003515302,0.944519,0.0003074118,0.0002547209,0.00017468,0.0004332126,0.01097965,0.02463978],"genre_scores_gemma":[0.3113892,0.001649409,0.5682238,0.0007717163,0.0001736332,0.0005085986,0.001788647,0.00322159,0.1122733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009741282,"threshold_uncertainty_score":0.03258783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003528518744856165,"score_gpt":0.1598912128763654,"score_spread":0.1563626941315093,"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."}}